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
    Flat editorial illustration: The article is about joining public web signals with internal business metrics so BI teams can inter
    Alternative Data in BI: Bringing Public Web Data Into Your Dashboards
    23 Min Read
    Flat editorial illustration: The article contrasts passive follower totals with a behavioral path from attention and trust to cli
    Creator Analytics Beyond Follower Count: Seven Metrics That Measure Audience Behavior
    11 Min Read
    Flat editorial illustration: The article connects AI and marketing analytics with managerial judgment grounded in consumer behavi
    How an Online MBA in Marketing Connects AI and Data Analytics
    11 Min Read
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Statistics: The Need for Integration
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 > Statistics: The Need for Integration
Business IntelligenceData MiningStatistics

Statistics: The Need for Integration

DeanAbbott
DeanAbbott
2 Min Read
Statistics: The Need for Integration
Photo by Yan Krukau on Pexels (https://www.pexels.com/photo/colleagues-working-in-an-office-7792829/)
SHARE

I’d like to revisit an issue we covered here, way back in 2007: Statistics: Why Do So Many Hate It?. Recent comments made to me, both in private conversation (“Statistics? I hated that class in college!”, and in print prompt me to reconsider this issue.

One thing which occurs to me is that many people have a tendency to think of statistics in an isolated way. This world view keeps statistics at bay, as something which is done separately from other business activities, and, importantly, which is done and understood only by the statisticians. This is very far from the ideal which I suggest, in which statistics (including data mining) are much more integrated with the business processes of which they are a part.

In my opinion, this is a strange way to frame statistics. As an analog, imagine if, when asked to produce a report, a business team turned to their “English guy”, with the expectation that he did all the writing. I am not suggesting that everyone needs to do the heavy lifting that data miners do, but that people who don’t accept some responsibility for data mining’s contribution to the business process. Managers, for example, who throw up their hands with the excuse that “they are not numbers people” forfeit control over an important part of their business function. It is healthier for everyone involved, I submit, if statistics moves away from being a black art, and statisticians become less of an arcane priesthood.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article is about joining public web signals with internal business metrics so BI teams can inter
Alternative Data in BI: Bringing Public Web Data Into Your Dashboards
Big Data Business Intelligence Exclusive Web Analytics
Flat editorial illustration: A SaaS-editorial scene showing product usage, support patterns, and renewal feedback informing a fle
Using Product Usage Analytics and Support Data to Build a B2B Product Roadmap
Business Intelligence Infographic
From Hiring To Payroll: Managing HR Data Across Business Systems -- AI-generated illustration
From Hiring To Payroll: Managing HR Data Across Business Systems
Big Data Business Intelligence Infographic
Flat editorial illustration: The article is about automating the collection, preparation, and delivery of marketing data across p
From Data to Dashboards: 5 Marketing Reporting Automation Software Picks
Big Data Business Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

How to Make Your CRM Deliver on ROI
Big DataBusiness IntelligenceCloud ComputingCRMData ManagementITSocial Data

How to Make Your CRM Deliver on ROI

5 Min Read
BI Proves Its Worth in the Clothing Industry
AnalyticsBusiness IntelligenceData Management

BI Proves Its Worth in the Clothing Industry

4 Min Read
Can AI Enhance Phishing Attack Detection?
Artificial IntelligenceBig Data

Can AI Enhance Phishing Attack Detection?

6 Min Read
Guest Post: Can Database Developers do Data Mining ?
Data Mining

Guest Post: Can Database Developers do Data Mining ?

4 Min Read

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

The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
ai chatbot
How AI Website Chatbots Improve Customer Support and Lead Generation
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?