Summary of Behind Every Good Decision

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Behind Every Good Decision book summary

Rating

8 Overall

9 Applicability

7 Innovation

8 Style

Recommendation

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. Jain and Sharma argue that basic analytics – which you can do in Excel – address 80% of all business problems, if you ask the right questions. They say that non-analysts, like managers and marketers, can learn powerful analytical tools easily and conduct their own analyses without a professional analyst or data scientist. Unless you have a particular interest, you can skip chapter five on predictive analytics. Otherwise, getAbstract recommends this commonsense, practical approach to managers, executives, entrepreneurs and professionals who don’t analyze for a living.

In this summary, you will learn

  • How basic analytics can address 80% of your firm’s problems,
  • How to use analytics to gain insight about your business,
  • How the BADIR framework can help you “move from data to decisions,”
  • What three questions you need to ask to build your “analytics agenda,” and
  • When you need complex or predictive analysis.
 

About the Authors

Experienced data scientists Piyanka Jain and Puneet Sharma consult with organizations worldwide on data analysis strategy and predictive analytics.

 

Summary

Not Rocket Science
Most data problems do not require professional analysts. Ordinary practitioners and managers with minimal training can conduct powerful analyses using basic tools like Microsoft Excel. Start by identifying the problem your business needs to solve. For example, feedback...

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