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Jinho Kim,Thomas H. Davenport

Keeping Up with the Quants

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Why Everyone Needs Analytical SkillsWelcome 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 organizationBig data and the analytics based on it 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.
Denne bog er ikke tilgængelig i øjeblikket
254 trykte sider
Oprindeligt udgivet
2013
Udgivelsesår
2013
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Citater

  • Heri Heryadihar citeretfor 7 år siden
    more and better data beat a better algorithm almost every time
  • Heri Heryadihar citeretfor 7 år siden
    One of my favorites is to get better data. Not more data, but data that’s different from what has been used to solve the problem so far. If you have used demographic data, add purchase data. If you have both, add browsing data. If you have numeric data, add text data
  • Heri Heryadihar citeretfor 7 år siden
    Numerical (interval and ratio) variables

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