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
    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
    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
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Transforming retail with analytics and decision management
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 > Transforming retail with analytics and decision management
Business IntelligenceCRMData MiningPredictive Analytics

Transforming retail with analytics and decision management

JamesTaylor
JamesTaylor
3 Min Read
Transforming retail with analytics and decision management
Illustration generated with Qwen Image.
SHARE

Tom Davenport has done some research into analytics and retail (reported here: Retailers recognise analytics as key to business transformation. Here’s a quote from the new item:

Retailers today are searching for ways to derive more customer intelligence, marketing savvy and operational insight from their overflowing databases. I…

Copyright © 2009 James Taylor. Visit the original article at Transforming retail with analytics and decision management.

Tom Davenport has done some research into analytics and retail (reported here: Retailers recognise analytics as key to business transformation. Here’s a quote from the new item:

Retailers today are searching for ways to derive more customer intelligence, marketing savvy and operational insight from their overflowing databases. In addition to acknowledging that the use of analytics is the key to future success in this data-intensive industry, retail executives also revealed to Davenport that:
Analytics improve retailers’ bottom lines most quickly when applied to pricing and merchandising.
Analytics drive market differentiation and customer-centric marketing.
Analytics help retailers achieve demand-driven supply chain optimisation (sic).

What I find interesting about this is that all these examples of the power of analytics involve things that are becoming more dynamic. So:

More Read

Why I Donate to Wikipedia
Why I Donate to Wikipedia
Data Mining Interview: Guillaume Main
Do Predictive Modelers Need to Know Math?
What’s the Difference? – A Social Media Monitoring Strategy that Analyzes Intentions Instead of Mentions
Training IS a Best Practice – Not Just a Component
  • Price optimization means dynamically making the most effective price (balancing profit, acceptance rates, supply etc) one customer at a time
  • Analytic merchandising increasingly means making merchandising decisions store by store, month by month or even day by day
  • With most retailers now being multi-channel, marketing and customer-centricity must be extended to the web and other channels
  • Supply chain optimization is becoming more dynamic, combining optimization and business rules, rather than the subject of occasional planning exercises

So the value of analytics is to be found when analytics are injected into operational processes – the essence of decision management. Increasingly retailers, like other users of analytics, will find themselves thinking about decision management based on analytics not just on analytics.

I have a few posts on Decision Management in Retail here and I expect I will have more over the coming months.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article's core relationship is the engineering transition from an AI prototype to a production-r
From AI Prototype to Production: Observability and Scalability Requirements for Data-Heavy SaaS Applications
Artificial Intelligence Exclusive
Preparing Data Systems and Governance for a Scaling Global Gaming Brand -- AI-generated illustration
Preparing Data Systems and Governance for a Scaling Global Gaming Brand
Big Data Infographic
How Restaurant POS and Ordering Data Reveal Generational Customer Patterns -- AI-generated illustration
How Restaurant POS and Ordering Data Reveal Generational Customer Patterns
Exclusive Infographic
From Trucks To Data: How Telematics Can Improve Freight Transportation -- AI-generated illustration
From Trucks To Data: How Telematics Can Improve Freight Transportation
Big Data Exclusive Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

How To Create A 360-Degree Customer View Using Data
Business IntelligenceCRMData MiningData WarehousingPredictive AnalyticsUnstructured Data

How To Create A 360-Degree Customer View Using Data

9 Min Read
Rethinking BI: 3 Big New Old Ideas
Business Intelligence

Rethinking BI: 3 Big New Old Ideas

16 Min Read
Indoor Locationing: The Hottest Thing in Tech
Big DataBusiness IntelligenceData ManagementHardwareInside CompaniesITLocationMobilityNew ProductsPrivacySecuritySocial Data

Indoor Locationing: The Hottest Thing in Tech

2 Min Read
Even after Dyn DDoS attack, businesses shouldn't ditch DNS providers, analyst says
Business IntelligenceCloud ComputingData ManagementITSecurity

Even after Dyn DDoS attack, businesses shouldn’t ditch DNS providers, analyst says

0 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 chatbot
How AI Website Chatbots Improve Customer Support and Lead Generation
Chatbots Exclusive
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

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?