Summary of Jeanne G. Harris & Thomas H. Davenport's Competing on Analytics

By IRB Media

Get the Summary of Jeanne G. Harris & Thomas H. Davenport's Competing on Analytics in 20 minutes. Please note: This is a summary & not the original book. Original book introduction: Updated with fresh content, Competing on Analytics provides the road map for becoming an analytical competitor, showing readers how to create new strategies for their organizations based on sophisticated analytics. Introducing a five-stage model of analytical competition, Davenport and Harris describe the typical behaviors, capabilities, and challenges of each stage. They explain how to assess your company’s capabilities and guide it toward the highest level of competition. With equal emphasis on two key resources, human and technological, this book reveals how even the most highly analytical companies can up their game.

• Language: English
• Publisher: IRB Media
• Release date: Nov 29, 2021
• ISBN: 9781638159100

IRB Media

With IRB books, you can get the key takeaways and analysis of a book in 15 minutes. We read every chapter, identify the key takeaways and analyze them for your convenience.

Book preview

Insights on Jeanne G. Harris and Foreword David Abney's Competing on Analytics Updated

Contents

Insights from Chapter 1

Insights from Chapter 2

Insights from Chapter 1

#1

Netflix is an excellent example of a firm that utilizes big data and analytics to better its products and services.

#2

Netflix has spent a lot of money on producing original shows, and they have a lot of data on what viewers like and don’t like. This has allowed them to make better decisions about which shows to produce next.

#3

A small number of companies are beginning to embrace the potential of business analytics, and as a result, they’re outcompeting their competitors.

#4

There are many different types of analytics. The most valuable and proactive kind is predictive analytics, which uses mathematical algorithms and formulas to determine the future.

#5

In principle, analytics could be performed using paper, pencil, and a slide rule, but today practically any sane person would use a computer and analytical software.

#6

Analytics, when used to enhance a company's distinctive capabilities, can be a competitive weapon.

#7

Some industries are more amenable to analytics than others. If your industry generates lots of transaction data, such as in financial services, travel, and gaming, competing on analytics is a good strategy.

#8

The move to analytical competition is being driven by the availability of data, as well as the ability to make sense of it through technology.

#9

Big data is the process of collecting and analyzing large amounts of data. It has many applications, but is most commonly associated with the fields of business intelligence and analytics.

#10

Analytics-driven companies have elevated data management, statistical and quantitative analysis, and predictive modeling to a high art. These companies have refined their use of analytics to a degree that their strategies and products are built around