HBR Guide to Data Analytics Basics for Managers

HBR Guide to Data Analytics Basics for Managers

The objective of this book is to help managers make better data-driven decisions by working with data analysts and data scientists. The guide is a compendium adapted from 23 previously published Harvard Business Review and hbr.org articles.

“Framing a problem… is the most important stage of the analytical process for a consumer of big data. It’s where your business experience and intuition matter most. After all, a hypothesis is simply a hunch about how the world works. The difference with analytical thinking, of course, is that you use rigorous methods to test the hypothesis.”

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Good Charts Workbook: Tips, Tools, and Exercises for Making Better Data Visualizations

Good Charts Workbook: Tips, Tools, and Exercises for Making Better Data Visualizations

by Scott Berinato

A good visual representation of data can be invaluable for communicating the meaning behind the numbers. This book walks the reader through the thought process and choices in creating visualizations for a variety of cases. “It’s rare you don’t have to make a trade-off to create a good chart… Most of the time there isn’t one right answer, one right chart.” The main topics covered in the book are clarity, color, chart types, and persuasion.

Clarity. Berinato emphasizes decluttering to put the focus on what you want to communicate. “Take stuff away… Remove redundancy… Limit color and eye travel… Use your headline to describe the main idea of a chart, not its structure.”

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The Halo Effect and the Eight Other Business Delusions That Deceive Managers

The Halo Effect and the Eight Other Business Delusions That Deceive Managers

by Phil Rosenzweig

Many business books and articles have been written about what Phil Rosenzweig calls “the mother of all business questions… What leads to high performance?” This book explains why much of this analysis is “riddled with errors.”

Using the examples of Cisco, ABB, and others, the author demonstrates the phenomenon. When times were good—strong revenue growth and a soaring stock price—these companies were praised for their exemplary strategy, culture, and CEO. When financial performance fell, the same strategy, culture, and CEO were ripped apart as severely flawed.

Why does this happen? Because we love stories. “As long as Cisco was growing and profitable and setting records for its share price, managers and journalists and professors inferred that it had a wonderful ability to listen to its customers, a cohesive culture, and a brilliant strategy. And when the bubble burst, observers were quick to make the opposite attribution. It all made sense. It told a coherent story.”

“Yet there’s a bit more to it. Our desire to tell stories, to provide a coherent direction to events, may also cause us to see trends that do not exist or infer causes incorrectly. We may ignore facts because they don’t fit into our story.”

How does this happen? Introducing the Halo Effect.  Continue reading “The Halo Effect and the Eight Other Business Delusions That Deceive Managers”

Big Data Marketing

big-data-marketing

Big Data Marketing: Engage Your Customers More Effectively and Drive Value

by Lisa Arthur

“Why don’t you know your customers better?” Lisa Arthur’s diagnosis: “Your data is fragmented.”

“Today’s marketers must engage buyers and prospects with conversations, solicit and act on customer feedback, and deliver experiences that are personalized, timely, and relevant.” Big data marketing makes this possible. Continue reading “Big Data Marketing”