Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Data Mining Book Review: Competing on Analytics
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > Data Mining Book Review: Competing on Analytics
Analytics

Data Mining Book Review: Competing on Analytics

SandroSaitta
SandroSaitta
2 Min Read
SHARE

coaAfter reading the excellent book Analytics at Work, I went back in time to read the first book of Davenport and Harris.

coaAfter reading the excellent book Analytics at Work, I went back in time to read the first book of Davenport and Harris. Competing on Analytics, The New Science of Winning is written for data miners and analytical people as well as for decision makers who are interested in analytics to drive their business. While Analytics at Work concerns any company interested in analytics, Competing on Analytics is written for companies which really focus (compete) on analytics to succeed. Among the most famous are Google, Ebay, Amazon, Netflix, etc.

The book is divided in two parts. The first one explains the analytical competition. The second one shows how to build an analytical-based company. The only issue I had regarding this book is that it is already a little old. For example, genetic algorithms and expert systems are described emerging technologies (!).

In summary, what you will get in this book:

More Read

Predictive Analytics Interview Series: Pasha Roberts at Talent Analytics
Data Analytics Can Help with REIT Investing
Business People Are Dumb On Average(s)
Prepare to Be Amazed by Immersive Intelligence
Interactive Brokers Collegiate Olympiad
  • Explanation of what analytics is about
  • Stages in which an analytical company can be
  • Several examples of analytics in big companies
  • A guide on how to bring analytics to your company
  • A list of possible application of analytics in a company

What you will not get:

  • Technical explanations about data mining techniques
  • Equations or algorithms

This book is a must-have guide for any person serious about applying analytics to a company. It’s a well written story of possible applications of analytics. After reading this book, I would advise Analytics at Work which really explains concrete methods to bring all these notions to work.

Share/Bookmark


Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

ai in business
Recurring Revenue Strategies for the AI Business Era
Artificial Intelligence Exclusive
ai for playground safety
Using Data to Plan Safer, More Efficient Public Playgrounds
Big Data Exclusive
AI for cybersecurity
How AI Supports Modern Penetration Testing
Artificial Intelligence Exclusive
ai kids and their parents
How Cities Use AI to Improve Playground Design
Exclusive News

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

How are Analytics related to Innovation?

4 Min Read

R project named in Intelligent Enterprise 2010 Editor’s Choice Awards

2 Min Read

Government Big Data Award Nominee: GCE Federal

2 Min Read

R Still the Preferred Tool of Predictive Modelers Competing at Kaggle

2 Min Read

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

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?