Posts tagged as:

segment

Predictive modeling and today’s growing data challenges

February 20, 2009

Syndicated from Smart Data Collective
Matt Kramer of Axciom and Jun Zhong of Wells Fargo discussed some of the challenges presented by data in the context of predictive models. Matt began by discussing some of the reasons for modeling – reducing costs, avoiding simplistic decisioning, predict attritition, optimize marketing spend etc. Predictive models help by ranking [...]

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Completing the visitor targeting cycle

February 19, 2009

Syndicated from Smart Data Collective
Thomas Rose-Bolden from TaxBrain and Joshua Koran of ValueClick presented on visitor targeting. Joshua started discussing targeting. Online marketers try to reach the right visitors in the right context with the right message. A good result for clicking on a banner ad is 1 out of 1,000 so the click through [...]

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5 ways to reduce cost with predictive analytics

February 19, 2009

Syndicated from Smart Data Collective
I am blogging live from Predictive Analytics World on behalf of SmartData Collective. Hopefully there will also be some podcasts. First up is Eric Siegel, program chair and President of Prediction Impact for the event.
Eric defines predictive analytics as “business intelligence” technology that produces a predictive score for each customer or [...]

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First Look – KXEN

February 17, 2009

I got my first chance to really see KXEN’s product a little while ago and, as I am off to Predictive Analytics World tomorrow, I thought I would blog about it. KXEN was founded in 1998. The product is designed to deliver automated data mining and predictive analytics at a function level – the user [...]

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Decision Management and some top CRM processes for a cost-constrained economy

January 22, 2009

A press release caught my eye recently on CRM – Gartner Identifies the Top Six CRM Marketing Processes for a Cost-Constrained Economy. Two of the six processes Gartner identified seem to me to require decision management to be done well.
1.Retention Management
Retaining high value or potential high-value customers is essential in difficult economic times. Gartner advises [...]

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Customer Centricity Strategy #3 – Mass Customization

December 17, 2008

Wrapping up my responses to John Schmidt’s post on Customer Centricity with a discussion of Mass Customization. John describes this as managing trade-offs and building sophisticated models to customize your response to each and every customer based on their value…

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Microtrends and a new column in the WSJ

December 11, 2008

I worked with Kinney Zalesne back when I was speaking about decision management on the Silverlink product tour (I blogged about it here). She and Mark Penn have just started a new column in the WSJ called Microtrends (the same name as their book – Microtrends: The Small Forces Behind Tomorrow’s Big Changes – which [...]

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Getting to the Right Price with Oracle Data Mining

December 2, 2008

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

December 2, 2008

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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On Best Buy’s success and being decision-centric

November 19, 2008

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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Using Decision Management for Customer Retention

November 10, 2008

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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Integrating Predictive Analytics and BRM to Improve Health Plan Member Experience

October 30, 2008

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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Building Blocks of Decision Management

October 30, 2008

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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Hotwire.com Revenue Management

October 28, 2008

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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Evidence-based (decision-centric) CRM Processes

October 22, 2008

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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Franchises, localization and decision management

September 25, 2008

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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Collections Best Practices

September 23, 2008

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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From Scores to Strategies

September 23, 2008

The use of analytics in business decisions, presented by one of InfoCentricity’s customers, was next. In many organizations modelers are busy building predictive models that they then throw over the wall to a business analyst. To bridge this gap you need a collaboration platform that allows modelers to do their thing while allowing business analysts [...]

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Marketing and Customer Segmentation with Xeno

September 22, 2008

Delivering the best value proposition using segmentation is a multi-step journey with 6 main steps and some critical differences from other analytic approaches:

Define Segmentation Objectives
The first step – deciding why to build a segmentation scheme – is important but often overlooked. Reasons may include declining financial performance, changes in strategy or market trends – the [...]

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Impact Modeling and Maximizing Marketing Return

September 22, 2008

Nina Shikaloff discussed an analytics technique that I had not heard of – Impact Modeling. Impact Modeling is a decision modeling technique. Decisions on acquiring customers – what to offer for instance – managing customers and handling difficult customers are all important and it can be tricky to identify better ones. Impact modeling is about [...]

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