Behind Every Good Decision: How Anyone Can Use Business Analytics to Turn Data into Profitable Insight by Piyanka Jain, PDF 0814449212

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

  • Title: Behind Every Good Decision: How Anyone Can Use Business Analytics to Turn Data into Profitable Insight
  • Autor: Piyanka Jain
  • Publisher (Publication Date): AMACOM (November 5, 2014)
  • Language: English
  • ISBN-10: | 0814449212
  • ISBN-13: | 978-0814449219
  • File Format: EPUB, PDF

 

There is a costly misconception in business today—that the only data that matters is BIG data, and that complex tools and data scientists are required to extract any practical information. Nothing could be further from the truth.

In Behind Every Good Decision, authors and analytics experts Piyanka Jain and Puneet Sharma demonstrate how professionals at any level can take the information at their disposal and leverage it to make better decisions. The authors’ streamlined frame work demystifies the process of business analytics and helps anyone move from data to decisions in just five steps…using only Excel as a tool. 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 impact

Packed with examples and exercises, this refreshingly accessible book explains the four fundamental analytic techniques that can help solve a surprising 80% of all business problems. Business analytics isn’t rocket science—it’s a simple problem-solving tool that can help companies increase revenue, decrease costs, improve products, and delight customers. And who doesn’t want to do that?

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Comments:

This is an interesting and practical book for delving into analysis and analytics. Piyanka has put a great process together that is easy to follow and delivers results. We liked the book so much, that we invited Piyanka to speak at an offsite executive meeting, where her message stirred lots of great discussion, and helped the team answer many questions about our approach to analysis, use of data, and analytics.


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