Wiley and SAS Business
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Customer Data Integration
Reaching a Single Version of the Truth
by Jill Dyché
Part 7 of the Wiley and SAS Business series
Whatever business you're in, you're ultimately in the customer business. No matter what your product, customers pay the bills. But the strategic importance of customer relationships hasn't brought companies much closer to a single, authoritative view of their customers. Written from both business and technical perspectives, Customer Data Integration shows companies how to deliver an accurate, holistic, and long-term understanding of their customers through CDI.
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Enterprise Risk Management
A Methodology for Achieving Strategic Objectives
by Gregory Monahan
Part 20 of the Wiley and SAS Business series
Written for enterprise risk management (ERM) practitioners who recognize ERM’s value to their organization, “Enterprise Risk Management: A Methodology for Achieving Strategic Objectives” thoroughly examines operational risk management and allows you to leverage ERM methodology in your organization by putting author and ERM authority Gregory Monahan's Strategic Objectives At Risk (SOAR) methodology to work. A must-read for anyone interested in risk management as a strategic, value-adding tool, this no-nonsense book shows you how to use ERM and SOAR to empower your company to go from stuck to competitive.
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Performance Management
Integrating Strategy Execution, Methodologies, Risk, and Analytics
by Gary Cokins
Part 21 of the Wiley and SAS Business series
Synopsis currently unavailable.
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Credit Risk Assessment
The New Lending System for Borrowers, Lenders, and Investors
by Clark R. Abrahams
Part 22 of the Wiley and SAS Business series
Credit derivatives as a financial tool has been growing exponentially from almost nothing more than seven years ago to approximately US$5 trillion deals completed by end of 2005. This indicates the growing importance of credit derivatives in the financial sector and how widely it is being used these days by banks globally. It is also being increasingly used as a device of synthetic securitisation. This significant market trend underscores the need for a book of such a nature.
Kothari, an undisputed expert in credit derivatives, explains the subject matter using easy-to-understand terms, presents it in a logical structure, demystifies the technical jargons and blends them into a cohesive whole.
This revised book will also include the following:
-New credit derivative definitions
-New features of the synthetic CDO market
-Case studies of leading transactions of synethetic securitisations
-Basle II rules-The Consultative Paper 3 has significantly revised the rules, particularly on synthetic CDOs
-Additional inputs on legal issues
-New clarifications on accounting for credit derivatives/credit linked notes
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The New Know
Innovation Powered by Analytics
by Thornton May
Part 23 of the Wiley and SAS Business series
Learn to manage and grow successful analytical teams within your business
Examining analytics-one of the hottest business topics today-The New KNOW argues that analytics is needed by all enterprises in order to be successful. Until now, enterprises have been required to know what happened in the past, but in today's environment, your organization is expected to have a good knowledge of what happens next.
This innovative book covers
• Where analytics live in the enterprise
• The value of analytics
• Relationships betwixt and between
• Technologies of analytics
• Markets and marketers of analytics
The New KNOW is a timely, essential resource to staying competitive in your field.
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The Data Asset
How Smart Companies Govern Their Data for Business Success
by Tony Fisher
Part 24 of the Wiley and SAS Business series
An expert's insider secrets to how successful CEOs and directors shape, lead, and oversee their organizations to achieve corporate goals.
“Governance, Risk Management, and Compliance” shows senior executives and board members how to ensure that their companies incorporate the necessary processes, organization, and technology to accomplish strategic goals. Examining how and why some major companies failed while others continue to grow and prosper, author and internationally recognized expert Richard Steinberg reveals how to cultivate a culture, leadership process and infrastructure toward achieving business objectives and related growth, profit, and return goals.
• Explains critical factors that make compliance and ethics programs and risk management processes really work
• Explores the board's role in overseeing corporate strategy, risk management, CEO compensation, succession planning, crisis planning, performance measures, board composition, and shareholder communications
• Highlights for CEOs, senior management teams, and board members the pitfalls to avoid and what must go right for success
• Outlines the future of corporate governance and what's needed for continued effectiveness
• Written by well-known corporate governance and risk management expert Richard Steinberg
“Governance, Risk Management, and Compliance” lays a sound foundation and provides critical insights for understanding the role of governance, risk management, and compliance and its successful implementation in today's business environment.
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Bank Fraud
Using Technology to Combat Losses
by Revathi Subramanian
Part 25 of the Wiley and SAS Business series
Learn how advances in technology can help curb bank fraud
Fraud prevention specialists are grappling with ever-mounting quantities of data, but in today's volatile commercial environment, paying attention to that data is more important than ever. Bank Fraud provides a frank discussion of the attitudes, strategies, and most importantly, the technology that specialists will need to combat fraud.
Fraudulent activity may have increased over the years, but so has the field of data science and the results that can be achieved by applying the right principles, a necessary tool today for financial institutions to protect themselves and their clientele. This resource helps professionals in the financial services industry make the most of data intelligence and uncovers the applicable methods to strengthening defenses against fraudulent behavior. This in-depth treatment of the topic begins with a brief history of fraud detection in banking and definitions of key terms, then discusses the benefits of technology, data sharing, and analysis, along with other in-depth information, including:
• The challenges of fraud detection in a financial services environment
• The use of statistics, including effective ways to measure losses per account and ROI by product/initiative
• The Ten Commandments for tackling fraud and ways to build an effective model for fraud management
“Bank Fraud” offers a compelling narrative that ultimately urges security and fraud prevention professionals to make the most of the data they have so painstakingly gathered. Such professionals shouldn't let their most important intellectual asset-data-go to waste. This book shows you just how to leverage data and the most up-to-date tools, technologies, and methods to thwart fraud at every turn.
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Mastering Organizational Knowledge Flow
How to Make Knowledge Sharing Work
by Frank Leistner
Part 26 of the Wiley and SAS Business series
Get your organization's expertise out of its silos and make it flow-with lessons from over a decade of experience
Looking at knowledge management in a holistic way, Mastering Organizational Knowledge Flow: How to Make Knowledge Sharing Work puts the proper emphasis on non-technical issues. As knowledge is deeply connected to humans, the author moves away from the often overused and therefore burned-out term "knowledge management" to the better-suited term "knowledge flow management."
• Provides lessons learned and case studies from real experience
• Discusses key knowledge flow components, success factors and traps, and where to start
Covering topics such as the power of scaling, internal marketing, measuring success, cultural aspects of sharing, and the role of Web2.0, Mastering Organizational Knowledge Flow: How to Make Knowledge Sharing Work allows you to stay up-to-date with today's knowledge flow management, and implement best practices to position your organization to take advantage of all of its assets.
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The Business Forecasting Deal
Exposing Myths, Eliminating Bad Practices, Providing Practical Solutions
by Michael Gilliland
Part 27 of the Wiley and SAS Business series
Practical-nontechnical-solutions to the problems of business forecasting
Written in a nontechnical style, this book provides practical solutions to common business forecasting problems, showing you how to think about business forecasting in the context of uncertainty, randomness and process performance.
• Addresses the philosophical foundations of forecasting
• Raises awareness of fundamental issues usually overlooked in pursuit of the perfect forecast
• Introduces a new way to think about business forecasting, focusing on process efficiency and the elimination of worst practices
• Provides practical approaches for the non-statistical problems forecasters face
• Illustrates Forecast Value Added (FVA) Analysis for identifying waste in the forecasting process
Couched in the context of uncertainty, randomness, and process performance, this book offers new, innovative ideas for resolving your business forecasting problems.
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CIO Best Practices
Enabling Strategic Value With Information Technology
by Gary Cokins
Part 34 of the Wiley and SAS Business series
Violence between children is a controversial and frequently misunderstood issue, one that has seen media-fuelled moral panic come to dominate public perceptions and debate. “Children Behaving Badly?” presents a powerful challenge to commonly held beliefs about peer violence and portrays it as an important child welfare concern.
By gathering together the most updated international research and expert commentary on peer violence issues from across the childhood spectrum, this volume directly addresses the complexity of this troubling issue from a range of multidisciplinary disciplines and perspectives. Contributions throughout the text reveal how childhood is not a homogenous experience but fragmented by gender, ethnicity, sexuality and poverty, which are each addressed within specific chapters. Other issues explored include pre-school children and peer violence, bullying, youth gangs, knife crime, teenage partner violence, sibling abuse, homophobia, international media depictions of violent youth, and implications for professionals working with children and young people.
Throughout the text, new and original research insights are presented with the goal of providing the reader with a greater understanding of the safeguarding of children and young people from this form of violence. “Children Behaving Badly?” is essential reading for policy makers, researchers, students, and practitioners from a wide range of child welfare disciplines about a highly topical and complex social problem.
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Social Network Analysis in Telecommunications
by Carlos Andre Reis Pinheiro
Part 37 of the Wiley and SAS Business series
Modern portfolio theory (MPT), which originated with Harry Markowitz's seminal paper "Portfolio Selection" in 1952, has stood the test of time and continues to be the intellectual foundation for real-world portfolio management. This book presents a comprehensive picture of MPT in a manner that can be effectively used by financial practitioners and understood by students.
“Modern Portfolio Theory” provides a summary of the important findings from all of the financial research done since MPT was created and presents all the MPT formulas and models using one consistent set of mathematical symbols. Opening with an informative introduction to the concepts of probability and utility theory, it quickly moves on to discuss Markowitz's seminal work on the topic with a thorough explanation of the underlying mathematics.
• Analyzes portfolios of all sizes and types, shows how the advanced findings and formulas are derived, and offers a concise and comprehensive review of MPT literature
• Addresses logical extensions to Markowitz's work, including the Capital Asset Pricing Model, Arbitrage Pricing Theory, portfolio ranking models, and performance attribution
• Considers stock market developments like decimalization, high frequency trading, and algorithmic trading, and reveals how they align with MPT
• Companion Website contains Excel spreadsheets that allow you to compute and graph Markowitz efficient frontiers with riskless and risky assets
If you want to gain a complete understanding of modern portfolio theory this is the book you need to read.
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Branded!
How Retailers Engage Consumers with Social Media and Mobility
by Bernie Brennan
Part 39 of the Wiley and SAS Business series
Written through the eyes of retail and technology executives, Branded! explores retailers who are successfully implementing social media and mobility strategies.
Market-leading retailers are engaging technology-savvy customers though social media and mobility. Branded! reveals how these digital communication channels are an extension of a retailer's culture and strategy resulting in building brand equity. Comprehensive reviews of Starbucks, Zappos, Wet Seal, Macy's, 1-800-Flowers.com, JCPenney, Pizza Hut and Best Buy are featured. Branded!:
• Provides a clear review of social media as well as the rapid changes in the development and use of mobility.
• Demonstrates why retailers cannot 'wait and see', and must move rapidly
• Shows how each company's social media and mobility initiatives are based on the individual personality of the company.
• Discusses sophisticated analytic tools that enable retailers to measure their performance and make informed decisions on the data.
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The Executive's Guide to Enterprise Social Media Strategy
How Social Networks Are Radically Transforming Your Business
by Mike Barlow
Part 42 of the Wiley and SAS Business series
Social media has already transformed society. Now it is poised to revolutionize communications and collaborative business processes. This book provides you with an actionable framework for developing and executing successful enterprise social networking strategies. Using straightforward language, accompanied by exhibits and fleshed out with real-world stories and revealing anecdotes, you will learn how to develop your own internal corporate social media strategy. Through the use of in-depth interviews with leading companies using these strategies, you will also discover best practices that will propel your business to new heights.
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The Value of Business Analytics
Identifying the Path to Profitability
by Evan Stubbs
Part 43 of the Wiley and SAS Business series
TURN YOUR CHALLENGES INTO SUCCESSES — LEARN HOW AND WHY SOME TEAM STRUGGLE AND SOME SUCCEED
This groundbreaking resource defines what business analytics is, the immense value it brings to an organization, and how to harness its power to gain a competitive edge in the marketplace. Author Evan Stubbs provides managers with the tools, knowledge, and strategies to get the organizational commitment you need to get business analytics up and running in your company.
Drawing from numerous practical examples, “The Value of Business Analytics” provides an overview of how business analytics maps to organizational strategy and through examining the mistakes teams commonly make that prevent their success, author Evan Stubbs uncovers a four-step framework which helps improve the odds of success.
Built on field-tested experience, The Value of Business Analytics explains the importance of and how to:
• Define the Value: Link analytics outcomes to business value, thereby helping build a sense of urgency and a need for change.
• Communicate the Value: Persuade the right people by understanding what motivates them.
• Deliver the Value: Link tactical outcomes to long-term strategic differentiation.
• Measure the Value: Validate wins and deliver continuous improvement to help drive ongoing transformation.
Translating massive amounts of data into real insight is beyond magic, it's competitive advantage distilled. Nothing else offers an equivalent level of agility, productivity improvement, or renewable value. Whether you're looking to quantify the value of your work or generate organizational support, learn how to leverage advanced business analytics with the hands-on guidance found in “The Value of Business Analytics”.
Drawing on the successes and failures of countless organizations, author Evan Stubbs provides a reference rich in content that spans everything from hiring the right people, understanding technical maturity, assessing culture, and structuring strategic planning. A must-read for any business analytics leader and an essential reference in shifting the perspective of business analytics away from algorithms towards outcomes.
Learn how to increase the odds of successful value creation with The Value of Business Analytics.
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Retail Analytics
The Secret Weapon
by Emmett Cox
Part 45 of the Wiley and SAS Business series
The inside scoop on boosting sales through spot-on analytics
Retailers collect a huge amount of data, but don't know what to do with it. Retail Analytics not only provides a broad understanding of retail, but also shows how to put accumulated data to optimal use. Each chapter covers a different focus of the retail environment, from retail basics and organization structures to common retail database designs. Packed with case studies and examples, this book insightfully reveals how you can begin using your business data as a strategic advantage.
• Helps retailers and analysts to use analytics to sell more merchandise
• Provides fact-based analytic strategies that can be replicated with the same success the author achieved on a global level
• Reveals how retailers can begin using their data as a strategic advantage
• Includes examples from many retail departments illustrating successful use of data and analytics
Analytics is the wave of the future. Put your data to strategic use with the proven guidance found in Retail Analytics.
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Delivering Business Analytics
Practical Guidelines for Best Practice
by Evan Stubbs
Part 52 of the Wiley and SAS Business series
AVOID THE MISTAKES THAT OTHERS MAKE — LEARN WHAT LEADS TO BEST PRACTICE AND KICKSTART SUCCESS
This groundbreaking resource provides comprehensive coverage across all aspects of business analytics, presenting proven management guidelines to drive sustainable differentiation. Through a rich set of case studies, author Evan Stubbs reviews solutions and examples to over twenty common problems spanning managing analytics assets and information, leveraging technology, nurturing skills, and defining processes.
“Delivering Business Analytics” also outlines the Data Scientist's Code, fifteen principles that when followed ensure constant movement towards effective practice. Practical advice is offered for addressing various analytics issues, the advantages and disadvantages of each issue's solution, and how these solutions can optimally create organizational value.
With an emphasis on real-world examples and pragmatic advice throughout, Delivering Business Analytics provides a reference guide on:
• The economic principles behind how business analytics leads to competitive differentiation
• The elements which define best practice
• The Data Scientist's Code, fifteen management principles that when followed help teams move towards best practice
• Practical solutions and frequent missteps to twenty-four common problems across people and process, systems and assets, and data and decision-making
Drawing on the successes and failures of countless organizations, author Evan Stubbs provides a densely packed practical reference on how to increase the odds of success in designing business analytics systems and managing teams of data scientists.
Uncover what constitutes best practice in business analytics and start achieving it with “Delivering Business Analytics”.
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Taming the Big Data Tidal Wave
Finding Opportunities in Huge Data Streams with Advanced Analytics
by Bill Franks
Part 56 of the Wiley and SAS Business series
You receive an e-mail. It contains an offer for a complete personal computer system. It seems like the retailer read your mind since you were exploring computers on their web site just a few hours prior....
As you drive to the store to buy the computer bundle, you get an offer for a discounted coffee from the coffee shop you are getting ready to drive past. It says that since you're in the area, you can get 10% off if you stop by in the next 20 minutes....
As you drink your coffee, you receive an apology from the manufacturer of a product that you complained about yesterday on your Facebook page, as well as on the company's web site....
Finally, once you get back home, you receive notice of a special armor upgrade available for purchase in your favorite online video game. It is just what is needed to get past some spots you've been struggling with....
Sound crazy? Are these things that can only happen in the distant future? No. All of these scenarios are possible today! Big data. Advanced analytics. Big data analytics. It seems you can't escape such terms today. Everywhere you turn people are discussing, writing about, and promoting big data and advanced analytics. Well, you can now add this book to the discussion.
What is real and what is hype? Such attention can lead one to the suspicion that perhaps the analysis of big data is something that is more hype than substance. While there has been a lot of hype over the past few years, the reality is that we are in a transformative era in terms of analytic capabilities and the leveraging of massive amounts of data. If you take the time to cut through the sometimes-over-zealous hype present in the media, you'll find something very real and very powerful underneath it. With big data, the hype is driven by genuine excitement and anticipation of the business and consumer benefits that analyzing it will yield over time.
Big data is the next wave of new data sources that will drive the next wave of analytic innovation in business, government, and academia. These innovations have the potential to radically change how organizations view their business. The analysis that big data enables will lead to decisions that are more informed and, in some cases, different from what they are today. It will yield insights that many can only dream about today. As you'll see, there are many consistencies with the requirements to tame big data and what has always been needed to tame new data sources. However, the additional scale of big data necessitates utilizing the newest tools, technologies, methods, and processes. The old way of approaching analysis just won't work. It is time to evolve the world of advanced analytics to the next level. That's what this book is about.
“Taming the Big Data Tidal Wave” isn't just the title of this book, but rather an activity that will determine which businesses win and which lose in the next decade. By preparing and taking the initiative, organizations can ride the big data tidal wave to success rather than being pummeled underneath the crushing surf. What do you need to know and how do you prepare in order to start taming big data and generating exciting new analytics from it? Sit back, get comfortable, and prepare to find out!
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Health Analytics
Gaining the Insights to Transform Health Care
by Jason Burke
Part 71 of the Wiley and SAS Business series
A hands-on, analytics road map for health industry leaders
The industry-wide transformation taking place across the health and life sciences ecosystem is mandating that organizations adopt new decision-making capabilities, based on science and real-world information. Analytics will be a required competency for the modern health enterprise, this book is about how to "cross the chasm." The ultimate analytics guide for the health industry leader, this essential book equips business leaders with little-to-no experience in analytics to understand how to incorporate analytics as a cornerstone of their 21st century competitive business strategy.
• Paints the picture for a new health enterprise, one focused on the patient
• Explores the financial components of this new operating model, using analytics to optimize the tradeoffs between cost and value
• Deals with the rising role of the consumer, using analytics to create a completely new health engagement model with individual recipients of care
• Looks at how analytics can drive innovations in care practice, patient-experienced medical outcomes, and analytically driven novel therapies optimized for the individual patient
• Presents a variety of text, tables, and graphics illustrating the various concepts being described
Within each section and chapter, Health Analytics assesses the current landscape, proposing a new model/concept, sharing real-world stories of how the old and new world come together, and framing a "how-to" for the reader in terms of growing that particular set of capabilities in their own enterprises.
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Heuristics in Analytics
A Practical Perspective of What Influences Our Analytical World
by Carlos Andre Reis Pinheiro
Part of the Wiley and SAS Business series
Employ heuristic adjustments for truly accurate analysis
Heuristics in Analytics presents an approach to analysis that accounts for the randomness of business and the competitive marketplace, creating a model that more accurately reflects the scenario at hand. With an emphasis on the importance of proper analytical tools, the book describes the analytical process from exploratory analysis through model developments, to deployments and possible outcomes. Beginning with an introduction to heuristic concepts, readers will find heuristics applied to statistics and probability, mathematics, stochastic, and artificial intelligence models, ending with the knowledge applications that solve business problems. Case studies illustrate the everyday application and implication of the techniques presented, while the heuristic approach is integrated into analytical modeling, graph analysis, text analytics, and more.
Robust analytics has become crucial in the corporate environment, and randomness plays an enormous role in business and the competitive marketplace. Failing to account for randomness can steer a model in an entirely wrong direction, negatively affecting the final outcome and potentially devastating the bottom line. Heuristics in Analytics describes how the heuristic characteristics of analysis can be overcome with problem design, math and statistics, helping readers to:
• Realize just how random the world is, and how unplanned events can affect analysis
• Integrate heuristic and analytical approaches to modeling and problem solving
• Discover how graph analysis is applied in real-world scenarios around the globe
• Apply analytical knowledge to customer behavior, insolvency prevention, fraud detection, and more
• Understand how text analytics can be applied to increase the business knowledge
Every single factor, no matter how large or how small, must be taken into account when modeling a scenario or event, even the unknowns. The presence or absence of even a single detail can dramatically alter eventual outcomes. From raw data to final report, “Heuristics in Analytics” contains the information analysts need to improve accuracy, and ultimately, predictive, and descriptive power.
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On-Camera Coach
Tools and Techniques for Business Professionals in a Video-Driven World
by Karin M. Reed
Part of the Wiley and SAS Business series
The helpful workbook to help practice assessing financial statements.
Financial statement analysis is essential as part of any well-organized financial portfolio. As a companion piece, “Financial Statement Analysis Workbook: A Practitioner's Guide” allows readers the opportunity to test and hone the skills put forward in Martin Fridson and Fernando Alvarez's “Financial Statement Analysis”, a resource devoted to providing the analytical framework necessary to make sense of the sometimes-misleading numbers put forth by companies. Scrutinizing financial statements allows one to, for example, evaluate a company's stock price or determine merger or acquisition valuations.
The Financial Statement Analysis Workbook provides a pathway to become familiar with these methodologies in order to be prepared to use them in real-world scenarios. With the skills provided within, you can begin to undertake goal-oriented preparation for the practical challenges of contemporary business and feel confident in your financial decision-making. This is aided by:
• Question-and-answer sections within this Workbook correspond to each chapter of Financial Statement Analysis
• Financial statement and computational exercises designed to require analysis and synthesis of concepts covered in the core text
• A full list of answers in the second half of the book that help explain pitfalls within the questions
An essential tool for professional analysts, investors, and students, “Financial Statement Analysis Workbook” offers the perfect opportunity to help turn theory into reality.
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Big Data Analytics
Turning Big Data into Big Money
by Frank J. Ohlhorst
Part of the Wiley and SAS Business series
Understand the role and potential of fixed income as an asset class.
“Systematic Fixed Income: An Investor's Guide” offers readers a powerful, practical, and robust framework for investors and asset managers to preserve the diversifying properties of a fixed income allocation, and add to that unique sources of excess returns via systematic security selection. In other words, this framework allows for efficient capture of fixed income beta and fixed income alpha.
Celebrated finance professional Dr. Scott Richardson presents concrete strategies for identifying the relevant sources of risk and return in public fixed income markets and explains the tactical and strategic roles played by fixed income in typical portfolios. In the book, readers will explore:
• The implementation challenges associated with a systematic fixed income portfolio, including liquidity and risk
• The systematic return sources for rate and credit sensitive fixed income assets in both developed and emerging markets
An essential read for asset managers and institutional investors with a professional interest in fixed income markets, “Systematic Fixed Income: An Investor's Guide” deserves a place in the libraries of advanced degree students of finance, business, and investment, as well as other investment professionals seeking to refine their understanding of the full potential of this foundational asset class.
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Strategies in Biomedical Data Science
Driving Force for Innovation
by Jay A. Etchings
Part of the Wiley and SAS Business series
An essential collection of scholarly essays on the anthropology of Africa, offering a thorough introduction to the most important topics in this evolving and diverse field of study.
The study of the cultures of Africa has been central to the methodological and theoretical development of anthropology as a discipline since the late 19th-century. As the anthropology of Africa has emerged as a distinct field of study, anthropologists working in this tradition have strived to build a disciplinary conversation that recognizes the diversity and complexity of modern and ancient African cultures while acknowledging the effects of historical anthropology on the present and future of the field of study.
“A Companion to the Anthropology of Africa” is a collection of insightful essays covering the key questions and subjects in the contemporary anthropology of Africa with a key focus on addressing the topics that define the contemporary discipline. Written and edited by a team of leading cultural anthropologists, it is an ideal introduction to the most important topics in the field, both those that have consistently been a part of the critical dialogue and those that have emerged as the central questions of the discipline's future.
Beginning with essays on the enduring topics in the study of African cultures, “A Companion to the Anthropology of Africa” provides a foundation in the contemporary critical approach to subjects of longstanding interest. With these subjects as a groundwork, later essays address decolonization, the postcolonial experience, and questions of modern identity and definition, providing representation of the diverse thinking and scholarship in the modern anthropology of Africa.
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Agile by Design
An Implementation Guide to Analytic Lifecycle Management
by Rachel Alt-Simmons
Part of the Wiley and SAS Business series
Achieve greater success by increasing the agility of analytics lifecycle management
“Agile by Design” offers the insight you need to improve analytic lifecycle management while integrating the right analytics projects into different frameworks within your business. You will explore, in-depth, what analytics projects are and why they are set apart from traditional development initiatives. Beyond merely defining analytics projects, “Agile by Design” equips you with the information you need to apply agile methodologies in a way that tailors your approach to individual initiatives-and the needs of your projects and team.
Lifecycle management is a complex subject area, and with the increasingly important integration of analytics into multiple facets of business models, understanding how to use agile tools while managing a product lifecycle is essential to maintaining a competitive edge in today's professional world.
• Gain an understanding of the principles, processes, and practices associated with effective analytic lifecycle management
• Discover techniques that will enable you to successfully initiate, plan, and execute analytic development projects with an eye for the opportunity to engage agile methodologies
• Understand agile development frameworks
• Identify which agile methodologies are best for different frameworks, and how to apply them throughout the analytic development lifecycle
With analytics becoming increasingly important in today's business world, you need to understand and apply agile methodologies in order to meet rising standards of efficiency and effectiveness. “Agile by Design” is the perfect reference for project managers, CFOs, IT managers, and marketing managers who want to cultivate a relevant, forward-thinking lifecycle management style.
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Hotel Pricing in a Social World
Driving Value in the Digital Economy
by Kelly A. Mcguire
Part of the Wiley and SAS Business series
Supercharge options analytics and hedging using the power of Python.
“Derivatives Analytics with Python” shows you how to implement market-consistent valuation and hedging approaches using advanced financial models, efficient numerical techniques, and the powerful capabilities of the Python programming language. This unique guide offers detailed explanations of all theory, methods, and processes, giving you the background and tools necessary to value stock index options from a sound foundation. You'll find and use self-contained Python scripts and modules and learn how to apply Python to advanced data and derivatives analytics as you benefit from the 5,000+ lines of code that are provided to help you reproduce the results and graphics presented. Coverage includes market data analysis, risk-neutral valuation, Monte Carlo simulation, model calibration, valuation, and dynamic hedging, with models that exhibit stochastic volatility, jump components, stochastic short rates, and more. The companion website features all code and IPython Notebooks for immediate execution and automation.
Python is gaining ground in the derivatives analytics space, allowing institutions to quickly and efficiently deliver portfolio, trading, and risk management results. This book is the finance professional's guide to exploiting Python's capabilities for efficient and performing derivatives analytics.
• Reproduce major stylized facts of equity and options markets yourself
• Apply Fourier transform techniques and advanced Monte Carlo pricing
• Calibrate advanced option pricing models to market data
• Integrate advanced models and numeric methods to dynamically hedge options
Recent developments in the Python ecosystem enable analysts to implement analytics tasks as performing as with C or C++, but using only about one-tenth of the code or even less. “Derivatives Analytics with Python-Data Analysis, Models, Simulation, Calibration and Hedging” shows you what you need to know to supercharge your derivatives and risk analytics efforts.
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Analytics
The Agile Way
by Phil Simon
Part of the Wiley and SAS Business series
For years, organizations have struggled to make sense out of their data. IT projects designed to provide employees with dashboards, KPIs, and business-intelligence tools often take a year or more to reach the finish line...if they get there at all.
This has always been a problem. Today, though, it's downright unacceptable. The world changes faster than ever. Speed has never been more important. By adhering to antiquated methods, firms lose the ability to see nascent trends, and act upon them until it's too late.
But what if the process of turning raw data into meaningful insights didn't have to be so painful, time-consuming, and frustrating?
What if there were a better way to do analytics?
Fortunately, you're in luck...
Analytics: The Agile Way is the eighth book from award-winning author and Arizona State University professor Phil Simon.
Analytics: The Agile Way demonstrates how progressive organizations such as Google, Nextdoor, and others approach analytics in a fundamentally different way. They are applying the same Agile techniques that software developers have employed for years. They have replaced large batches in favor of smaller ones...and their results will astonish you.
Through a series of case studies and examples, “Analytics: The Agile Way” demonstrates the benefits of this new analytics mind-set: superior access to information, quicker insights, and the ability to spot trends far ahead of your competitors.
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Demand-Driven Forecasting
A Structured Approach to Forecasting
by Charles W. Chase
Part of the Wiley and SAS Business series
Many companies still look at quantitative forecasting methods with suspicion, but a new awareness is emerging across many industries as more businesses and professionals recognize the value of integrating demand data (point-of-sale and syndicated scanner data) into the forecasting process. “Demand-Driven Forecasting” equips you with solutions that can sense, shape, and predict future demand using highly sophisticated methods and tools. From a review of the most basic forecasting methods to the most advanced and innovative techniques in use today, this guide explains demand-driven forecasting, offering a fundamental understanding of the quantitative methods used to sense, shape, and predict future demand within a structured process. Offering a complete overview of the latest business forecasting concepts and applications, this revised Second Edition of “Demand-Driven Forecasting” is the perfect guide for professionals who need to improve the accuracy of their sales forecasts.
• Completely updated to include the very latest concepts and methods in forecasting
• Includes real case studies and examples, actual data, and graphical displays and tables to illustrate how effective implementation works
• Ideal for CEOs, CFOs, CMOs, vice presidents of supply chain, vice presidents of demand forecasting and planning, directors of demand forecasting and planning, supply chain managers, demand planning managers, marketing analysts, forecasting analysts, financial managers, and any other professional who produces or contributes to forecasts
Accurate forecasting is vital to success in today's challenging business climate. “Demand-Driven Forecasting” offers proven and effective insight on making sure your forecasts are right on the money.
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Business Transformation
A Roadmap for Maximizing Organizational Insights
by Aiman Zeid
Part of the Wiley and SAS Business series
Effectively introduce and promote analytics within your enterprise
All companies use information to set strategies and accomplish business objectives. But how many CEOs and CIOs would say they are satisfied that their companies get maximum value from information? Business Transformation reveals how SAS's Information Evolution Model (IEM) can be used together with analytics for groundbreaking results. Author Aiman Zeid provides the necessary information you need to introduce and promote the use of analytics and insight across your organization. Along with examples and best practices of global companies that have successfully been through this process, you'll learn how to identify the starting point and develop a road map for execution.
• Reveals how to introduce and promote the use of analytics and insights across your organization
• Written by a lead developer at SAS global Business Intelligence Competency Center program and services
• Features global case studies and examples
Practical and insightful, this reference provides businesses with an essential blueprint for creating improvements that optimize business returns and put the potential of data analytics to work.
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Predictive Analytics for Human Resources
by Jac Fitz-enz
Part of the Wiley and SAS Business series
Create and run a human resource analytics project with confidence
For any human resource professional that wants to harness the power of analytics, this essential resource answers the questions: "Where do I start?" and "What tools are available?" Predictive Analytics for Human Resources is designed to answer these and other vital questions. The book explains the basics of every business, the vision, the brand, and the culture, and shows how predictive analytics supports them. The authors put the focus on the fundamentals of predictability and include a framework of logical questions to help set up an analytic program or project, then follow up by offering a clear explanation of statistical applications.
“Predictive Analytics for Human Resources” is a how-to guide filled with practical and targeted advice. The book starts with the basic idea of engaging in predictive analytics and walks through case simulations showing statistical examples. In addition, this important resource addresses the topics of internal coaching, mentoring, and sponsoring and includes information on how to recruit a sponsor. In the book, you'll find:
• A comprehensive guide to developing and implementing a human resource analytics project
• Illustrative examples that show how to go to market, develop a leadership model, and link it to financial targets through causal modeling
• Explanations of the ten steps required in building an analytics function
• How to add value through analysis of systems such as staffing, training, and retention
For anyone who wants to launch an analytics project or program for HR, this complete guide provides the information and instruction to get started the right way.
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Intelligent Credit Scoring
Building and Implementing Better Credit Risk Scorecards
by Naeem Siddiqi
Part of the Wiley and SAS Business series
A better development and implementation framework for credit risk scorecards.
“Intelligent Credit Scoring” presents a business-oriented process for the development and implementation of risk prediction scorecards. The credit scorecard is a powerful tool for measuring the risk of individual borrowers, gauging overall risk exposure and developing analytically driven, risk-adjusted strategies for existing customers. In the past 10 years, hundreds of banks worldwide have brought the process of developing credit scoring models in-house, while 'credit scores' have become a frequent topic of conversation in many countries where bureau scores are used broadly. In the United States, the 'FICO' and 'Vantage' scores continue to be discussed by borrowers hoping to get a better deal from the banks. While knowledge of the statistical processes around building credit scorecards is common, the business context and intelligence that allows you to build better, more robust, and ultimately more intelligent scorecards is not. As the follow-up to Credit Risk Scorecards, this updated second edition includes new detailed examples, new real-world stories, new diagrams, deeper discussion on topics including WOE curves, the latest trends that expand scorecard functionality and new in-depth analyses in every chapter. Expanded coverage includes new chapters on defining infrastructure for in-house credit scoring, validation, governance, and Big Data.
Black box scorecard development by isolated teams has resulted in statistically valid, but operationally unacceptable models at times. This book shows you how various personas in a financial institution can work together to create more intelligent scorecards, to avoid disasters, and facilitate better decision making. Key items discussed include:
• Following a clear step by step framework for development, implementation, and beyond
• Lots of real life tips and hints on how to detect and fix data issues
• How to realise bigger ROI from credit scoring using internal resources
• Explore new trends and advances to get more out of the scorecard
Credit scoring is now a very common tool used by banks, Telcos, and others around the world for loan origination, decisioning, credit limit management, collections management, cross selling, and many other decisions. Intelligent Credit Scoring helps you organise resources, streamline processes, and build more intelligent scorecards that will help achieve better results.
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Credit Risk Analytics
Measurement Techniques, Applications, and Examples in SAS
by Bart Baesens
Part of the Wiley and SAS Business series
The long-awaited, comprehensive guide to practical credit risk modeling
“Credit Risk Analytics” provides a targeted training guide for risk managers looking to efficiently build or validate in-house models for credit risk management. Combining theory with practice, this book walks you through the fundamentals of credit risk management and shows you how to implement these concepts using the SAS credit risk management program, with helpful code provided. Coverage includes data analysis and preprocessing, credit scoring, PD and LGD estimation and forecasting, low default portfolios, correlation modeling and estimation, validation, implementation of prudential regulation, stress testing of existing modeling concepts, and more, to provide a one-stop tutorial and reference for credit risk analytics. The companion website offers examples of both real and simulated credit portfolio data to help you more easily implement the concepts discussed, and the expert author team provides practical insight on this real-world intersection of finance, statistics, and analytics.
SAS is the preferred software for credit risk modeling due to its functionality and ability to process large amounts of data. This book shows you how to exploit the capabilities of this high-powered package to create clean, accurate credit risk management models.
• Understand the general concepts of credit risk management
• Validate and stress-test existing models
• Access working examples based on both real and simulated data
• Learn useful code for implementing and validating models in SAS
Despite the high demand for in-house models, there is little comprehensive training available, practitioners are left to comb through piece-meal resources, executive training courses, and consultancies to cobble together the information they need. This book ends the search by providing a comprehensive, focused resource backed by expert guidance. Credit Risk Analytics is the reference every risk manager needs to streamline the modeling process.
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A Practical Guide to Analytics for Governments
Using Big Data for Good
by Various Authors
Part of the Wiley and SAS Business series
An up-to-date look at the evolution of interest rate swaps and derivatives.
“Interest Rate Swaps and Derivatives” bridges the gap between the theory of these instruments and their actual use in day-to-day life. This comprehensive guide covers the main "rates" products, including swaps, options (cap/floors, swaptions), CMS products, and Bermudan callables. It also covers the main valuation techniques for the exotics/structured-notes area, which remains one of the most challenging parts of the market.
• Provides a balance of relevant theory and real-world trading instruments for rate swaps and swap derivatives
• Uses simple settings and illustrations to reveal key results
• Written by an experienced trader who has worked with swaps, options, and exotics
With this book, author Amir Sadr shares his valuable insights with practitioners in the field of interest rate derivatives-from traders and marketers to those in operations.
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The Patient Revolution
How Big Data and Analytics Are Transforming the Health Care Experience
by Krisa Tailor
Part of the Wiley and SAS Business series
In the face of the current environmental crisis-which clearly has moral and spiritual dimensions-members of all the world's faiths have come to recognize the critical importance of religion's relationship to ecology. “The Wiley Blackwell Companion to Religion and Ecology” offers a comprehensive overview of the history and the latest developments in religious engagement with environmental issues throughout the world. Newly commissioned essays from noted scholars of diverse faiths and scientific traditions present the most cutting-edge thinking on religion's relationship to the environment. Initial readings explore the ways traditional concepts of nature in Christianity, Judaism, Islam, Buddhism, and other religious traditions have been shaped by the environmental crisis. Readings then address the changing nature of theology and religious thought in response to the challenges of protecting the environment. Various conceptual issues and themes that transcend individual traditions-climate change, bio-ethics, social justice, ecofeminism, and more-are then analyzed before a final section examines some of the immediate challenges we face in caring for the Earth while looking to the future of religious environmentalism. Timely and thought-provoking, Companion to Religion and Ecology offers illuminating insights into the role of religion in the ongoing struggle to secure the future well-being of our natural world.
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Artificial Intelligence for Marketing
Practical Applications
by Jim Sterne
Part of the Wiley and SAS Business series
A sneak peek at up-and-coming trends in IT, a multidimensional vision for achieving business agility through agile architectures.
“The Agile Architecture Revolution” places IT trends into the context of Enterprise Architecture, reinventing Enterprise Architecture to support continuous business transformation. It focuses on the challenges of large organizations, while placing such organizations into the broader business ecosystem that includes small and midsize organizations as well as startups.
• Organizes the important trends that are facing technology in businesses and public sector organizations today and over the next several years
• Presents the five broad organizing principles called Supertrends: location independence, global cubicle, democratization of technology, deep interoperability, and complex systems engineering
• Provides a new perspective on service-oriented architecture in conjunction with architectural approaches to cloud computing and mobile technologies that explain how organizations can achieve better business visibility through IT and enterprise architecture
Laying out a multidimensional vision for achieving agile architectures, this book discusses the crisis points that promise sudden, transformative change, unraveling how organizations' spending on IT will continue to undergo radical change over the next ten years.
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Business Forecasting
The Emerging Role of Artificial Intelligence and Machine Learning
by Michael Gilliland
Part of the Wiley and SAS Business series
Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field
In “Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning” accomplished authors Michael Gilliland, Len Tashman, and Udo Sglavo deliver relevant and timely insights from some of the most important and influential authors in the field of forecasting. You'll learn about the role played by machine learning and AI in the forecasting process and discover brand-new research, case studies, and thoughtful discussions covering an array of practical topics. The book offers multiple perspectives on issues like monitoring forecast performance, forecasting process, communication and accountability for forecasts, and the use of big data in forecasting.
You will find:
• Discussions on deep learning in forecasting, including current trends and challenges
• Explorations of neural network-based forecasting strategies
• A treatment of the future of artificial intelligence in business forecasting
• Analyses of forecasting methods, including modeling, selection, and monitoring
In addition to the Foreword by renowned researchers Spyros Makridakis and Fotios Petropoulos, the book also includes 16 "opinion/editorial" Afterwords by a diverse range of top academics, consultants, vendors, and industry practitioners, each providing their own unique vision of the issues, current state, and future direction of business forecasting.
Perfect for financial controllers, chief financial officers, business analysts, forecast analysts, and demand planners, Business Forecasting will also earn a place in the libraries of other executives and managers who seek a one-stop resource to help them critically assess and improve their own organization's forecasting efforts.
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Text as Data
Computational Methods of Understanding Written Expression Using SAS
by Barry Deville
Part of the Wiley and SAS Business series
Tax-exempt law explained, for lawyers and nonlawyers alike.
“The Law of Tax-Exempt Organizations” has, for decades, been the definitive single-volume source of legal information for nonprofit lawyers and managers alike. Author Bruce R. Hopkins is widely recognized as the leading authority on the subject; in this thoroughly revised Twelfth Edition, he provides all the updates you need to stay current on the latest changes to tax code, regulatory, and case law developments. Annual supplements available with the book will ensure that you don't miss any important updates.
Making solid decisions about the future of any tax-exempt organization requires a firm and up-to-date understanding of the relevant tax and other law. This reference provides guidance on the latest developments in eligibility for tax exemption, the private inurement and private benefit doctrines, nonprofit governance, lobbying, political campaign activity, public charities, private foundations, donor-advised funds, unrelated business activities, reporting, disclosure requirements, and more.
• Understand the tax code, regulations, and case law pertaining to all categories of tax-exempt organizations
• Access the nonprofit law standard reference guide, written by the leading legal expert on tax-exempt organizations
• Prepare yourself to make well-founded strategic decisions about the current and future actions of your organization
• Review annual supplements that provide plain-English information on changes for each tax year
Written in a practical format that's accessible to lawyers and non-lawyers alike, “The Law of Tax-Exempt Organizations”, Twelfth Edition, is a trustworthy resource for anyone involved in advising or managing charitable organizations, social welfare entities, associations, clubs, or any other type of tax-exempt entity.
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Consumption-Based Forecasting and Planning
Predicting Changing Demand Patterns in the New Digital Economy
by Charles W. Chase
Part of the Wiley and SAS Business series
Discover a new, demand-centric framework for forecasting and demand planning
In Consumption-Based Forecasting and Planning, thought leader and forecasting expert Charles W. Chase delivers a practical and novel approach to retail and consumer goods companies demand planning process. The author demonstrates why a demand-centric approach relying on point-of-sale and syndicated scanner data is necessary for success in the new digital economy.
The book showcases short- and mid-term demand sensing and focuses on disruptions to the marketplace caused by the digital economy and COVID-19. You'll also learn:
• How to improve demand forecasting and planning accuracy, reduce inventory costs, and minimize waste and stock-outs
• What is driving shifting consumer demand patterns, including factors like price, promotions, in-store merchandising, and unplanned and unexpected events
• How to apply analytics and machine learning to your forecasting challenges using proven approaches and tactics described throughout the book via several case studies.
Perfect for executives, directors, and managers at retailers, consumer products companies, and other manufacturers, Consumption-Based Forecasting and Planning will also earn a place in the libraries of sales, marketing, supply chain, and finance professionals seeking to sharpen their understanding of how to predict future consumer demand.
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Risk Modeling
Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning
by Terisa Roberts
Part of the Wiley and SAS Business series
A wide-ranging overview of the use of machine learning and AI techniques in financial risk management, including practical advice for implementation.
“Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning” introduces readers to the use of innovative AI technologies for forecasting and evaluating financial risks. Providing up-to-date coverage of the practical application of current modelling techniques in risk management, this real-world guide also explores new opportunities and challenges associated with implementing machine learning and artificial intelligence (AI) into the risk management process.
Authors Terisa Roberts and Stephen Tonna provide readers with a clear understanding about the strengths and weaknesses of machine learning and AI while explaining how they can be applied to both everyday risk management problems and to evaluate the financial impact of extreme events such as global pandemics and changes in climate. Throughout the text, the authors clarify misconceptions about the use of machine learning and AI techniques using clear explanations while offering step-by-step advice for implementing the technologies into an organization's risk management model governance framework. This authoritative volume:
• Highlights the use of machine learning and AI in identifying procedures for avoiding or minimizing financial risk
• Discusses practical tools for assessing bias and interpretability of resultant models developed with machine learning algorithms and techniques
• Covers the basic principles and nuances of feature engineering and common machine learning algorithms
• Illustrates how risk modeling is incorporating machine learning and AI techniques to rapidly consume complex data and address current gaps in the end-to-end modelling lifecycle
• Explains how proprietary software and open-source languages can be combined to deliver the best of both worlds: for risk models and risk practitioners
Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning is an invaluable guide for CEOs, CROs, CFOs, risk managers, business managers, and other professionals working in risk management.
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Practitioner's Guide to Operationalizing Data Governance
by Mary Anne Hopper
Part of the Wiley and SAS Business series
Discover the tools for knowing the costs your company should cut, without impacting its ability to deliver goods and services.
New from Steve Bragg, this book provides the tools for determining which costs a company should cut, without impacting its ability to deliver goods and services. It explains how to use throughput analysis in order to locate bottleneck operations in a company, which in turn dictates where capital investments should (and should not) be made.
• Delves into process analysis, to determine where excess resources are being used in a business process
• Describes the total cost of ownership, showing how a single purchasing decision actually snowballs into a variety of ancillary costs
• Shows how to create and use a spend management system to reduce procurement costs
• Shows how just-in-time systems can be used to eliminate inventory costs
“Cost Reduction Analysis: Tools and Strategies” provides examples to show how much cost can potentially be eliminated to avoid drastic action later that can imperil your corporation's direction and future.
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Leading in Analytics
The Seven Critical Tasks for Executives to Master in the Age of Big Data
by Joseph A. Cazier
Part of the Wiley and SAS Business series
A step-by-step guide for business leaders who need to manage successful big data projects
Leading in Analytics: The Critical Tasks for Executives to Master in the Age of Big Data takes you through the entire process of guiding an analytics initiative from inception to execution. You'll learn which aspects of the project to pay attention to, the right questions to ask, and how to keep the project team focused on its mission to produce relevant and valuable project. As an executive, you can't control every aspect of the process. But if you focus on high-impact factors that you can control, you can ensure an effective outcome. This book describes those factors and offers practical insight on how to get them right.
Drawn from best-practice research in the field of analytics, the Manageable Tasks described in this book are specific to the goal of implementing big data tools at an enterprise level. A dream team of analytics and business experts have contributed their knowledge to show you how to choose the right business problem to address, put together the right team, gather the right data, select the right tools, and execute your strategic plan to produce an actionable result. Become an analytics-savvy executive with this valuable book.
• Ensure the success of analytics initiatives, maximize ROI, and draw value from big data
• Learn to define success and failure in analytics and big data projects
• Set your organization up for analytics success by identifying problems that have big data solutions
• Bring together the people, the tools, and the strategies that are right for the job
By learning to pay attention to critical tasks in every analytics project, non-technical executives and strategic planners can guide their organizations to measurable results.
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Mastering Marketing Data Science
A Comprehensive Guide for Today's Marketers
by Iain Brown
Part of the Wiley and SAS Business series
Unlock the Power of Data: Transform Your Marketing Strategies with Data Science
In the digital age, understanding the symbiosis between marketing and data science is not just an advantage; it's a necessity. In Mastering Marketing Data Science: A Comprehensive Guide for Today's Marketers, Dr. Iain Brown, a leading expert in data science and marketing analytics, offers a comprehensive journey through the cutting-edge methodologies and applications that are defining the future of marketing. This book bridges the gap between theoretical data science concepts and their practical applications in marketing, providing readers with the tools and insights needed to elevate their strategies in a data-driven world. Whether you're a master's student, a marketing professional, or a data scientist keen on applying your skills in a marketing context, this guide will empower you with a deep understanding of marketing data science principles and the competence to apply these principles effectively.
• Comprehensive Coverage: From data collection to predictive analytics, NLP, and beyond, explore every facet of marketing data science.
• Practical Applications: Engage with real-world examples, hands-on exercises in both Python & SAS, and actionable insights to apply in your marketing campaigns.
• Expert Guidance: Benefit from Dr. Iain Brown's decade of experience as he shares cutting-edge techniques and ethical considerations in marketing data science.
• Future-Ready Skills: Learn about the latest advancements, including generative AI, to stay ahead in the rapidly evolving marketing landscape.
• Accessible Learning: Tailored for both beginners and seasoned professionals, this book ensures a smooth learning curve with a clear, engaging narrative.
Mastering Marketing Data Science is designed as a comprehensive how-to guide, weaving together theory and practice to offer a dynamic, workbook-style learning experience. Dr. Brown's voice and expertise guide you through the complexities of marketing data science, making sophisticated concepts accessible and actionable.
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Executive's Guide to Solvency II
by David Buckham
Part of the Wiley and SAS Business series
A straightforward guide to the evolution, benefits, and implementation of Solvency II.
Providing a guide to the evolution, practice, benefits, and implementation of Solvency II, Executive′s Guide to Solvency II deftly covers this major European regulation which ensures that insurers can meet their risk—based liabilities over a one—year period to a 99.5% certainty. Part of the Wiley and SAS Business series, this book will guide you through Solvency II, especially if you need to understand the subtleties of Solvency II and risk—based capital in basic business language. Among the topics covered in this essential book are:
• Background to Solvency II
• Learning from the Basel Approach
• The Economic Balance Sheet
• Internal Models
• People, Process, and Technology
• Business Benefits of Solvency II
Executive′s Guide to Solvency II has as its aim an explanation for executives, practitioners, consultants, and others interested in the Solvency II process and the implications thereof, to understand how and why the directive originated, what its goals are, and what some of the complexities are. There is an emphasis on what in practice should be leveraged upon to achieve implementation, specifically data, processes, and systems, as well as recognition of the close alignment demanded between actuaries, the risk department, IT, and the business itself.
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Human Capital Analytics
How to Harness the Potential of Your Organization's Greatest Asset
by Gene Pease
Part of the Wiley and SAS Business series
An insightful look at the implementation of advanced analytics on human capital
Human capital analytics, also known as human resources analytics or talent analytics, is the application of sophisticated data mining and business analytics techniques to human resources data. Human Capital Analytics provides an in-depth look at the science of human capital analytics, giving practical examples from case studies of companies applying analytics to their people decisions and providing a framework for using predictive analytics to optimize human capital investments.
• Written by Gene Pease, Boyce Byerly, and Jac Fitz-enz, widely regarded as the father of human capital
• Offers practical examples from case studies of companies applying analytics to their people decisions
• An in-depth discussion of tools needed to do the work, particularly focusing on multivariate analysis
The challenge of human resources analytics is to identify what data should be captured and how to use the data to model and predict capabilities so the organization gets an optimal return on investment on its human capital. The goal of human capital analytics is to provide an organization with insights for effectively managing employees so that business goals can be reached quickly and efficiently. Written by human capital analytics specialists Gene Pease, Boyce Byerly, and Jac Fitz-enz, Human Capital Analytics provides essential action steps for implementation of advanced analytics on human capital.
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Developing Human Capital
Using Analytics to Plan and Optimize Your Learning and Development Investments
by Gene Pease
Part of the Wiley and SAS Business series
Don't squander your most valuable resource!
Collectively, your workers are your company's most important and most valuable asset. To make the most of this asset, nothing beats quantitative performance and investment measurement. Learning and Development is an 80-billion-dollar industry, and every valuable employee represents a sizable investment on the part of your company. To keep your business moving forward, effective management of human capital is crucial. It generates plenty of data, and deep analysis of this data helps you provide feedback and make adjustments to capitalize on the combined knowledge, skills, and creativity of your workers. “Developing Human Capital: Using Analytics to Plan and Optimize Your Learning and Development Investments” provides a guidebook for collecting, organizing, and analyzing the data surrounding human capital so you can make the most of your employees' potential.
• Use predictive analysis to optimize human capital investments
• Learn effective study design and alignment
• Get the tools you need for measurement, surveys, and analysis
• Decide what to measure and how to measure it
• Outline your company's current and future analytics technology needs
• Map data sources, and overcome barriers to data collection
Authors Gene Pease, Bonnie Beresford, and Lew Walker provide case studies in which major companies applied human capital analytics to guide people decisions and expand upon the role of analytics in Learning and Development. “Developing Human Capital: Using Analytics to Plan and Optimize Your Learning and Development Investments” is an essential guide to 21st century human resources and management practices, and can keep you from squandering your company's most valuable resource.
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Analytics in a Big Data World
The Essential Guide to Data Science and its Applications
by Bart Baesens
Part of the Wiley and SAS Business series
The guide to targeting and leveraging business opportunities using big data & analytics
By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. “Analytics in a Big Data World” reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments.
The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g., credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic.
• Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics
• Offers the results of research and the author's personal experience in banking, retail, and government
• Contains an overview of the visionary ideas and current developments on the strategic use of analytics for business
• Covers the topic of data analytics in easy-to-understand terms without an undo emphasis on mathematics and the minutiae of statistical analysis
For organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities.
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Business Forecasting
Practical Problems and Solutions
by Michael Gilliland
Part of the Wiley and SAS Business series
A comprehensive collection of the field's most provocative, influential new work
Business Forecasting compiles some of the field's important and influential literature into a single, comprehensive reference for forecast modeling and process improvement. It is packed with provocative ideas from forecasting researchers and practitioners, on topics including accuracy metrics, benchmarking, modeling of problem data, and overcoming dysfunctional behaviors. Its coverage includes often-overlooked issues at the forefront of research, such as uncertainty, randomness, and forecastability, as well as emerging areas like data mining for forecasting.
The articles present critical analysis of current practices and consideration of new ideas. With a mix of formal, rigorous pieces and brief introductory chapters, the book provides practitioners with a comprehensive examination of the current state of the business forecasting field.
Forecasting performance is ultimately limited by the 'forecastability' of the data. Yet failing to recognize this, many organizations continue to squander resources pursuing unachievable levels of accuracy. This book provides a wealth of ideas for improving all aspects of the process, including the avoidance of wasted efforts that fail to improve (or even harm) forecast accuracy.
• Analyzes the most prominent issues in business forecasting
• Investigates emerging approaches and new methods of analysis
• Combines forecasts to improve accuracy
• Utilizes Forecast Value Added to identify process inefficiency
The business environment is evolving, and forecasting methods must evolve alongside it. This compilation delivers an array of new tools and research that can enable more efficient processes and more accurate results. “Business Forecasting” provides an expert's-eye view of the field's latest developments to help you achieve your desired business outcomes.
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Win With Advanced Business Analytics
Creating Business Value from Your Data
by Jean-Paul Isson
Part of the Wiley and SAS Business series
Plain English guidance for strategic business analytics and big data implementation
In today's challenging economy, business analytics and big data have become more and more ubiquitous. While some businesses don't even know where to start, others are struggling to move from beyond basic reporting. In some instances, management and executives do not see the value of analytics or have a clear understanding of business analytics vision mandate and benefits. “Win with Advanced Analytics” focuses on integrating multiple types of intelligence, such as web analytics, customer feedback, competitive intelligence, customer behavior, and industry intelligence into your business practice.
• Provides the essential concept and framework to implement business analytics
• Written clearly for a nontechnical audience
• Filled with case studies across a variety of industries
• Uniquely focuses on integrating multiple types of big data intelligence into your business
Companies now operate on a global scale and are inundated with a large volume of data from multiple locations and sources: B2B data, B2C data, traffic data, transactional data, third party vendor data, macroeconomic data, etc. Packed with case studies from multiple countries across a variety of industries, “Win with Advanced Analytics” provides a comprehensive framework and applications of how to leverage business analytics/big data to outpace the competition.
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Mobile Learning
A Handbook for Developers, Educators, and Learners
by Scott Mcquiggan
Part of the Wiley and SAS Business series
Explore the game-changing technology that allows mobile learning to effectively reach K-12 students
“Mobile Learning: A Handbook for Developers, Educators and Learners” provides research-based foundations for developing, evaluating, and integrating effective mobile learning pedagogy. Twenty-first century students require twenty-first century technology, and mobile devices provide new and effective ways to educate children.
But with new technologies come new challenges, therefore, this handbook presents a comprehensive look at mobile learning by synthesizing relevant theories and drawing practical conclusions for developers, educators, and students.
Mobile devices-in ways that the laptop, the personal computer, and netbook computers have not-present the opportunity to make learning more engaging, interactive, and available in both traditional classroom settings and informal learning environments. From theory to practice, Mobile Learning explores how mobile devices are different than their technological predecessors, makes the case for developers, teachers, and parents to invest in the technology, and illustrates the many ways in which it is innovative, exciting, and effective in educating K-12 students.
• Explores how mobile devices can support the needs of students
• Provides examples, screenshots, graphics, and visualizations to enhance the material presented in the book
• Provides developers with the background necessary to create the apps their audience requires
• Presents the case for mobile learning in and out of classrooms as early as preschool
• Discusses how mobile learning enables better educational opportunities for the visually impaired, students with Autism, and adult learners.
If you're a school administrator, teacher, app developer, or parent, this topical book provides a theoretical, well-researched discussion of the pedagogical theory and mobile learning, as well as practical advice in setting up a mobile learning strategy.
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Bricks Matter
The Role of Supply Chains in Building Market-Driven Differentiation
by Lora M. Cecere
Part of the Wiley and SAS Business series
Get proven guidance to build a market-driven supply chain management system
Supply chain management processes have gradually shifted from a supply-driven focus to a demand-driven one in order to better synchronize demand and supply signals. Bricks Matter shows you how you can identify market risks and opportunities and translate these into winning tactics. Business cases highlight how business leaders are winning through market-driven approaches.
• Helps you understand how to apply the emerging world of predictive analytics for the better management of value networks
• Includes business cases illustrating the market-driven approach
• Reveals how businesses can identify market risks and translate these into supply-side tactics
As companies transition from demand-driven to market-driven approach, the focus in organizations shifts from one of vertical excellence to building strong market-to-market horizontal processes. Improve revenue by increasing market share, improve profit margins, and maintain high levels of customer service with the indispensable guidance found in Bricks Matter.