Welcome to the age of data. No matter your interests (sports, movies, politics), your industry (finance, marketing, technology, manufacturing), or the type of organization you work for (big company, nonprofit, small start-up) - your world is awash with data.
As a successful manager today, you must be able to make sense of all this information. You need to be conversant with analytical terminology and methods and able to work with quantitative information. This book promises to become your "quantitative literacy" guide-helping you develop the analytical skills you need right now in order to summarize data, find the meaning in it, and extract its value.
In Keeping Up with the Quants, authors, professors, and analytics experts Thomas Davenport and Jinho Kim offer practical tools to improve your understanding of data analytics and enhance your thinking and decision making. You'll gain crucial skills, including:
• How to formulate a hypothesis • How to gather and analyze relevant data • How to interpret and communicate analytical results • How to develop habits of quantitative thinking • How to deal effectively with the "quants" in your organization
Big data and the analytics based on its promise to change virtually every industry and business function over the next decade. If you don't have a business degree or if you aren't comfortable with statistics and quantitative methods, this book is for you. Keeping Up with the Quants will give you the skills you need to master this new challenge-and gain a significant competitive edge.
"An accessible and timely introduction to the data mining work of quantitative analysts.' Named it one of 'Four Books [that] Should Top Every Marketer's Summer Reading List."
Forbes.com
"Goes into fascinating detail about how Intel and other successful companies-including Verizon Wireless, TD Bank Group, and Merck-help managers and data scientists understand each other well enough to collaborate effectively."
CNNMoney/Fortune magazine
"Perfect for professionals who want a better grounding in understanding and applying data results to business goals."
