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
    New Data Analytics Breakthroughs Give eCommerce Startups a Fighting Chance
    New Data Analytics Breakthroughs Give eCommerce Startups a Fighting Chance
    6 Min Read
    How Data Analytics Is Reshaping Patient Financing Decisions
    How Data Analytics Is Reshaping Patient Financing Decisions
    13 Min Read
    business using business intelligence
    How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
    9 Min Read
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Do We Really Need More Data?
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > CRM > Do We Really Need More Data?
Business IntelligenceCRMData MiningPredictive Analytics

Do We Really Need More Data?

JamesTaylor
JamesTaylor
3 Min Read
SHARE

Stephen Few had another of his great posts on his Visual Business Intelligence blog – Do We Really Need More Data?. Stephen’s posts are always worth reading – I highly recommend the blog – and this one prompted me to comment and I thought I would reproduce the comment here.

I see this problem regularly, albeit from a slightly different perspective. I often come across organizations that insist they need to gather more data, clean it more thoroughly or integrate it more tightly before they can do anything else. Yet they have not thought about the decisions they are trying to make with that data. When they do, they sometimes realize that they have all the data they need for that decision or that cleaning the data better won’t improve the decision making. Often they discover that the data they need to improve the decision is not the data they were going to collect or clean or integrate. Sometimes what is needed to make better decisions is not even data, but a better understanding of regulations or policies.

This “data-first” attitude does not help organizations – unless they understand the decisions they are making, how they are making them and, as you say, what their mental models/uns…

More Read

Decision Management Systems drive the second economy
The Perils of Marketing Attribution
Apache Spark Use Cases
PROS Will Acquire Cameleon to Enhance Sales Effectiveness
Predictive Analytics Spotlight from IBM

Stephen Few had another of his great posts on his Visual Business Intelligence blog – Do We Really Need More Data?. Stephen’s posts are always worth reading – I highly recommend the blog – and this one prompted me to comment and I thought I would reproduce the comment here.

I see this problem regularly, albeit from a slightly different perspective. I often come across organizations that insist they need to gather more data, clean it more thoroughly or integrate it more tightly before they can do anything else. Yet they have not thought about the decisions they are trying to make with that data. When they do, they sometimes realize that they have all the data they need for that decision or that cleaning the data better won’t improve the decision making. Often they discover that the data they need to improve the decision is not the data they were going to collect or clean or integrate. Sometimes what is needed to make better decisions is not even data, but a better understanding of regulations or policies.

This “data-first” attitude does not help organizations – unless they understand the decisions they are making, how they are making them and, as you say, what their mental models/unspoken rules might be they will never improve performance.


Link to original post

TAGGED:data visualizationdecision management
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

New Data Analytics Breakthroughs Give eCommerce Startups a Fighting Chance
New Data Analytics Breakthroughs Give eCommerce Startups a Fighting Chance
Analytics Big Data Exclusive
data driven businesses
How Data-Driven Businesses Choose Storage That Reduces Risk and Drag
Big Data Exclusive
Operational Data Becomes Business Value in the Age of AIoT
Operational Data Becomes Business Value in the Age of AIoT
Big Data Exclusive Internet of Things
growth guide
Growing Smarter: The Role Of Strategic Partnerships From Startup To Scale
Infographic News

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Thinking different with decision analysis

4 Min Read

Analytics: Not About Saving Time

7 Min Read

Out of the Recession

5 Min Read

Take the Predictive Analytics in the Cloud survey

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.

ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

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?