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Home > Business and Economics > Business and Management > Management and management techniques > Management decision making > Behind Every Good Decision: How Anyone Can Use Business Analytics to Turn Data into Profitable Insight
Behind Every Good Decision: How Anyone Can Use Business Analytics to Turn Data into Profitable Insight

Behind Every Good Decision: How Anyone Can Use Business Analytics to Turn Data into Profitable Insight


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About the Book

So you're not a numbers person No worries! You say that you can't understand how to read, let alone implement, these complex software programs that crunch all the data and spit out . . . more data Not a problem either! There is a costly misconception in business today-that the only data that matters is BIG data, and that elaborate tools and data scientists are required to extract any practical information. But actually, nothing could be further from the truth.In Behind Every Good Decision, authors and analytics experts Piyanka Jain and Puneet Sharma demystify the process of business analytics and demonstrate how professionals at any level can take the information at their disposal and in only five simple steps-using only Excel as a tool!-make the decision necessary to increase revenue, decrease costs, improve product, or whatever else is being asked of them at that time. Readers will learn how to:• Clarify the business question• Lay out a hypothesis-driven plan• Pull relevant data• Convert it to insights• Make decisions that make an impactPacked with examples and exercises, this refreshingly accessible book explains the four fundamental analytic techniques that can help solve a surprising 80 percent of all business problems. It doesn't take a numbers person to know that is a formula you need!

Table of Contents:
Contents Prefacexi Acknowledgmentsxv Introduction1 SECTION 1--HELLO ANALYTICS!7 1.Analytics or Die9 2.What Is Analytics?20 3.Top Seven Analytics Methodologies34 SECTION 2--DIVING DEEP49 4.B.A.D.I.R.: Business Analytics in Five Simple Steps51 5.Predictive Analytics, aka Rocket Science101 6.Data and Analytics Tools128 SECTION 3--LEADERSHIP TOOLKIT141 7.Analytics and Leadership143 8.Competing on Analytics156 9.Analytics Leader's Playbook171 10.Making It Happen175 11.Common Pitfalls184 SECTION 4--ANALYTICS AT WORK: TEN CASE STUDIES207 Appendix221 Notes229 Index233 About the Authors239

About the Author :
Piyanka Jain is President and CEO of Aryng, a management consulting company focused on analytics for business impact. Puneet Sharma is VP of Analytics, Growth Hacking, and User Research at Move Inc.

Review :
..".should be on the desk and in the hands of planners and decision-makers in organizations where good decisions matter. That's everybody." --Vancouver Business Journal ..".takes a dauntingly huge subject - analytics - and reduces it to clear, usable chunks." --Blue Heron Journal "Experienced data scientists Piyanka Jain and Puneet Sharma offer an exceptionally clear, illustrated guide to data analysis, including meaningful, real case studies and actionable best practices... getAbstract recommends this commonsense, practical approach to managers, executives, entrepreneurs and professionals who don't analyze for a living." --getAbstract "Jain and Sharma demystify big data by revealing how to use it as a highly effective business tool..." -- Baseline "Jain and Sharma do a fantastic job of explaining how any reasonably intelligent person can make sense of data by starting with the problems they want to solve..." -- MindTools "Jain and Sharma have found a way to make the analysis of data engaging and easy to understand, even for those of us who are not mathematically inclined." --Internal Auditing


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Product Details
  • ISBN-13: 9780814449219
  • Publisher: HarperCollins Focus
  • Publisher Imprint: Amacom
  • Height: 235 mm
  • No of Pages: 256
  • Returnable: N
  • Sub Title: How Anyone Can Use Business Analytics to Turn Data into Profitable Insight
  • Width: 159 mm
  • ISBN-10: 0814449212
  • Publisher Date: 05 Nov 2014
  • Binding: Hardback
  • Language: English
  • Returnable: N
  • Spine Width: 22 mm
  • Weight: 412 gr


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