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
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    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
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Decision Management, Tom Davenport and the New BI
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > Decision Management, Tom Davenport and the New BI
Business IntelligenceData MiningPredictive Analytics

Decision Management, Tom Davenport and the New BI

JamesTaylor
JamesTaylor
3 Min Read
SHARE

Tom wrote an interesting post this week on 10 Principles of the New Business Intelligence and made a couple of really good points:

1. Decisions are the unit of work to which BI initiatives should be applied.
2. Providing access to data and tools isn’t enough if you want to ensure that decisions are actually improved.

I like these two as I think they represent the crux of my worriesabout BI as it is mostly done today – reporting, data warehouses, OL…

Tom wrote an interesting post this week on 10 Principles of the New Business Intelligence and made a couple of really good points:

More Read

The Hastings Effect: Netflix Big Data Approach Is Transforming Education
Global Market Growth Shows the Value of Web Conferencing
Differentiating Through Event-Driven Analytics
Finding Data Quality
R .SAS .NYT. One great discussion.

1. Decisions are the unit of work to which BI initiatives should be applied.
2. Providing access to data and tools isn’t enough if you want to ensure that decisions are actually improved.

I like these two as I think they represent the crux of my worriesabout BI as it is mostly done today – reporting, data warehouses, OLAPetc. Unless you are clear what decisions you are trying to improve andfocus on those decisions then BI will not improve them no matter howmuch you invest. This is something Tom has discussed before and aboutwhich I have blogged.

Tom’s graphic has a nice section at the top on automated decisionswhere information and decision have to be tightly coupled. While I likehis sliding scale – from tightly to loosely coupled – I think manyorganizations over estimate how loosely coupled they can get, leavingfar too many decisions to be loosely coupled or even completelydecoupled from the information. Apart from anything else I think itrequires some coupling of decision and information to apply analyticseffectively – you must know what decision you are trying to make tocorrectly identify the analytics you need. Tom says:

8. The more closely you want to link information anddecisions, the more specific you have to get in focusing on aparticular decision.

To which I would add that the more you want to drive the decisionusing analytics, the more closely you will want to link information anddecisions. Managing decisions using Enterprise Decision Managementtightly couples information and decisions allowing for more automationand more analytics.

By the way, if you don’t already own Tom’s book Competing on Analytics, you should buy it.


Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

ai in video game development
Machine Learning Is Changing iGaming Software Development
Exclusive Machine Learning News
media monitoring
Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
Analytics Exclusive Infographic
data=driven approach
Turning Dead Zones Into Data-Driven Opportunities In Retail Spaces
Big Data Exclusive Infographic
smarter manufacturing
Connecting the Factory Floor: Efficient Integration for Smarter Manufacturing
Infographic News

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Citizen Data Journalism

2 Min Read

Opportunities to meet me or hear me speak

4 Min Read
Image
AnalyticsPredictive Analytics

When Big Data Can’t Predict

7 Min Read

Data Mining Book Review: The Value of Business Analytics

3 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 is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

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?