We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Analytics at Work
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > Analytics at Work
Uncategorized

Analytics at Work

Steve Bennett
Steve Bennett
5 Min Read
Analytics at Work
Illustrative image generated with OpenAI gpt-image-1.
SHARE

Analytics At Work Hot off the presses jumps Analytics at Work: Smarter Decisions, Better Results, the new book by Thomas Davenport, Jeanne G. Harris (both of Competing On Analytics fame) and Robert Morison. This book is very much the sequel to Competing On Analytics and this is not a bad thing. CIO Insight magazine named Competing on Analytics one of the all-time “Top 15 Most Groundbreaking Management Books”.

What I like about the book is that it is going after the big picture where better decisions drive outstanding performance, improve competitiveness and help organisations differentiate themselves from the competition.

This time the authors have completed new research on companies in the US and Europe. They include Humana, Tesco, Air France/KLM, Best Buy, Progressive Insurance, and Hotels.com. Using these organisations as illustrations the book is intended to be an implementation-focused guide that describes a five-step model for deploying and succeeding with analytical initiatives.

In the first half of the book five factors are presented as being necessary if an organisation is to succeed at ‘doing analytics’. The authors group use the acronym DELTA (the Greek letter that signifies “change” in an equation):

  • D for accessible, high-quality data
  • E for an enterprise orientation
  • L for analytical leadership
  • T for strategic targets
  • A for analytical talent

This all makes sense to me and then in the second half of the book the five-step model is explained. I will not spoil the authors work by discussing that here.

To me the book is presented as a primer for doing analytics. How well does it achieve this objective? The answer is both ‘very well’ and ‘not really’. Let me explain:

  • If you are a C* level executive trying to understand why you need analytics, and you want a high-level understanding of how to achieve this, then the book delivers – and delivers well.
  • If you are a Senior Manager directly responsible for making analytics happen, the book is less successful. Not through any fault of the authors. I am one of these managers and I know that analytics is hard. Even a 1,000 page tome and a dozen CD’s would not be enough for that.

So I hope that the book will inspire C* level executives that are interested enough to read a 200-or-so page book on the subject. If they only read one book on the subject then this is the one I would give them. For those that can’t be bothered, then I can sit waiting for the next crisis to hit and the inevitable change of management to occur!

To the author’s credit, I notice scattered throughout the book discussions (on pages 14-15 for example) and insight on how the Financial Industry got risk analytics so wrong – contributing to the financial crisis of 2007. Finance’s use of analytics was featured as one of the successes in Competing On Analytics.

Although a Harvard Business Press title, the book is ‘tied-in’ to Accenture (Harris works for them and Davenport is an Accenture Fellow) and the company has a microsite within their Institute for High Performance consulting practice. Here’s a nice brochure from Accenture on Analytics At Work.

TAGGED:analyticsbook review
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Illustration of mobile analytics dashboards with ad performance charts connected to backend databases
11 Best Sisense Alternatives for Embedded Analytics
Business Intelligence Exclusive
Analyst points at colorful circular data dashboard on screen - information technology business metrics
How Fragmented Workplace Tech Undermines Reliable Business Metrics and Reporting
Cloud Computing Exclusive Infographic IT
Using Multi-Source Data and Analytics to Detect Operational Drift Across Franchise Networks -- AI-generated illustration
Using Multi-Source Data and Analytics to Detect Operational Drift Across Franchise Networks
Exclusive Infographic
Beyond The First Impression: The Long-Lasting Impact Of Sensory Marketing -- AI-generated illustration
Beyond The First Impression: The Long-Lasting Impact Of Sensory Marketing
Infographic Marketing

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

The Fallacy of the Data Scientist Shortage
AnalyticsBusiness IntelligenceBusiness RulesCloud ComputingCollaborative DataCommentaryData MiningData WarehousingDecision ManagementHadoopJobsMapReducePredictive AnalyticsR Programming LanguageSentiment AnalyticsStatisticsText AnalyticsUnstructured Data

The Fallacy of the Data Scientist Shortage

8 Min Read
Predictive Analytics and Politics - Part 1
Data MiningPredictive Analytics

Predictive Analytics and Politics – Part 1

4 Min Read
Buyers Beware: Data Visualization Is Not Data Analytics
Data Management

Buyers Beware: Data Visualization Is Not Data Analytics

8 Min Read
Acting on Data Analytics – More than Food for Thought
Business Intelligence

Acting on Data Analytics – More than Food for Thought

6 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?