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
    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
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    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
  • 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
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:

More Read

Image
Past, Present, and Future of Predictive Analytics: Our Analysis & Findings
Hold on to your hats: it’s World Statistics Day!
More Ways to get a Scoring Model wrong
The Role of Standards in Predictive Analytics: A Series
The Slow Demise of 4GLs

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:

  • 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.


Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

fda14abd c869 4da5 943c c036ad8efc2e
How Data-Driven Journalists Are Using API News Apps to Improve Reporting
Big Data Exclusive News
0622cae5 f7d7 4f74 84b5 eabd1a823dca
How Data-Driven Grocery Recommendations Help Shoppers Eat Better With Less Effort
Big Data Exclusive
business recovering from data loss
How Data-Driven Businesses Protect MySQL Databases from Shutdown
Big Data Exclusive
ai driven task management
Reducing “Work About Work” with AI Task Managers
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

SAIC and Zementis to bring “smarts” to the Smart Grid

6 Min Read

What Is Your Big Data Analytics Stack?

5 Min Read

A story about the power of rules to improve analytic decisions

4 Min Read

Dashboards and Scorecards, similarities and differences

1 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 and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
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?