Posts Tagged ‘segment’

2nd December 2008

Getting to the Right Price with Oracle Data Mining

Rachel Scales presented on Getting to the Right Price: Using BI Apps with Oracle Data Mining to Improve You Company’s Margins. Pricing is increasingly complex as the world is changing and becoming more competitive. Customer loyalties are changing, resources are constrained and competition is more global. Price management is necessary to ensure your share of [...]

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posted by James Taylor in Business Intelligence, Data Mining | 0 Comments

2nd December 2008

Powering Next-Generation Predictive Applications with Oracle Data Mining (ODM)

Charlie Berger of Oracle presented on Powering Next-Generation Predictive Applications with Oracle Data Mining (ODM). Charlie joined Oracle from Thinking Machines about a decade ago and have been putting machine learning algorithms into the Oracle kernel. Data Mining, in database or otherwise, sifts through data to find hidden patterns, discover new insights and make predictions. [...]

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posted by James Taylor in Business Intelligence, Data Mining, Predictive Analytics | 0 Comments

19th November 2008

On Best Buy’s success and being decision-centric

Last week I saw a post comparing Best Buy and Circuit City - one thriving and one going into bankruptcy - and it made me think about the role of decision management in Best Buy’s success. I have head Best Buy present various times an a number of elements of their successful customer-centricity strategy are [...]

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posted by James Taylor in Customer Experience, Decision Management, Retail | 1 Comment

10th November 2008

Using Decision Management for Customer Retention

CRM Daily had a nice little article on Customer Retention that reminded me of the example I often use for how the elements of decision management contribute to more effective customer retention decisions. Large organizations spend vast sums on retention - one bank, for instance, spends $1Bn annually - and retention is a perfect candidate [...]

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posted by James Taylor in Adaptive Control, Business Rules, Customer Experience, Data Mining, Decision Management, Optimization, Predictive Analytics | 0 Comments

30th October 2008

Integrating Predictive Analytics and BRM to Improve Health Plan Member Experience

Two gentlemen from Deloitte presented Integrating Predictive Analytics and BRM to Improve Health Plan Member Experience. 80% of healthcare costs are incurred by 20% of members and traditionally the 20% get all the focus. Analytics and data mining get applied to claims, authorization, costs as a result. Segmentation focuses on the unprofitable and unhealthy. Increasingly [...]

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posted by James Taylor in Business Rules, Decision Management, Healthcare, Predictive Analytics | 1 Comment

30th October 2008

Building Blocks of Decision Management

Michele Edelman of Discover presented on Building Blocks of Decision Management: “Tools to Rule”. Michele spends a lot of time educating people inside Discover and her team use sources like McKinsey to show executives why EDM matters. For instance, a report on top 10 macro-economic trends:

Centers of economic activity will shift profoundly not just globally [...]

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posted by James Taylor in Business Agility, Business Rules, Customer Experience, Decision Management, Financial Services, Predictive Analytics | 1 Comment

28th October 2008

Hotwire.com Revenue Management

Darren Koch presented on Hotwire.com’s use of ILOG business rules in revenue management. Summary:

Ongoing segmentation and optimization help businesses serve customers
Smart testing + flexibility = better service = higher profits
Continues to show ROI that is increasing over time

Hotwire.com was founded in 1999 to help travel partners (who invested) sell excess inventory without driving down prices [...]

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posted by James Taylor in Adaptive Control, Business Rules, Customer Experience, Travel & Entertainment | 1 Comment

22nd October 2008

Evidence-based (decision-centric) CRM Processes

Graham Hill wrote a piece on Evidence-based CRM that focused on evidence-based CRM programs and it made me think about evidence-based CRM processes.
To me, evidence-based CRM means customer relationships, and thus customer treatments, that are based on evidence (data) and not judgment, hope, guesswork etc. It means

making offers that you have evidence this customer will [...]

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posted by James Taylor in Adaptive Control, Customer Experience, Data Mining, Decision Management, Predictive Analytics | 1 Comment

25th September 2008

Franchises, localization and decision management

I live in Palo Alto and a new Mountain Mike’s Pizza has just opened up near us. Much as we like MM pizza we have two problems - we like wholewheat dough and, as several members of my family are lactose/milk intolerant, soy cheese. If you have visited or live in Palo Alto you will [...]

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posted by James Taylor in Decision Management, Retail | 0 Comments

23rd September 2008

Collections Best Practices

Jeff Bernstein of Strategem Portfolio Services gave an overview of the latest developments in collections. Jeff’s company has a product called Strategy Director (about which I blogged before). Jeff does a lot of work with collections groups and all too often sees a failure to implement analytics even where those analytic models are being developed [...]

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posted by James Taylor in Business Rules, Customer Experience, Financial Services, Predictive Analytics | 0 Comments