<p><span>Be Data Analytical</span><span> is the book organizations and individuals need to understand how to truly use analytics to turn data into valuable insights and drive smarter decision making.</span><span><br><br>Data needs analytics to turn it into value and for organizations to be truly dat
Behind Every Good Decision: How Anyone Can Use Business Analytics to Turn Data into Profitable Insight
β Scribed by Piyanka Jain, Puneet Sharma
- Publisher
- AMACOM
- Tongue
- English
- Leaves
- 256
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
So youβre not a numbers person? No worries! You say that you canβt 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:β’ Clarify the business questionβ’ Lay out a hypothesis-driven planβ’ Pull relevant dataβ’ Convert it to insightsβ’ 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 doesnβt take a numbers person to know that is a formula you need!
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<p> 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. </p> <p> </p> <p> In <i>Behind Every Good Decision</i>, auth