Posts tagged as:

retention

Predictive analytics panel at Business Analytics Summit

November 16, 2009

I hosted a panel last week on predictive analytics at the Business Analytics Summit. I was joined by Richard Boire of the Boire-Filler Group, Jean-Paul Isson of Monster.com and Michael Berry of Data Miners (and author of Data Mining Techniques, one of my favorite Data mining books). I asked a series of questions and we [...]

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Business Rules Forum 2009 – Day 1 #brf

November 4, 2009

It’s the end of day 1 of the Business Rules Forum/Enterprise Decision Management Summit and time to write a wrap up post for the day – no live blogging today as I have too much on as track chair to sit behind my keyboard!
Today I got to attend Jim Sinur’s keynote and sessions from Roger [...]

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SAS customers and optimization

October 27, 2009

Next up in my SAS day was a panel on optimization. Bobby Hull of BGF Industries and Bill Nowicki of the Carolina Hurricanes were joined by Larry Mosiman of SAS on a panel hosted by Tammi Kay George. BGF is a leader in high-end composites and textiles. The Carolina Hurricanes, of course, are an NHL [...]

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Premier Bankcard and building a good customer score #paw

October 20, 2009

Rex Pruitt discussed Premier Bankcard’s development of a good customer score. I have written about how Premier Bankcard is putting predictive analytics to work as I used them in my presentation on putting analytics to work earlier. Job 1 was to define a good customer – find the definitions that the CEO, the CFO, heads [...]

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Boosting results or reducing costs with lift curves

September 22, 2009

Syndicated from BeyeNetwork
I have been thinking about lift curves this week (no, really, this is the kind of thing I think about) and I thought it was worth spending a post describing them and their value.
Before I actually talk about a lift curve I need to give you a little background. The purpose of a [...]

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Putting predictive analytics to work at Premier Bankcard

September 21, 2009

I am giving a tutorial and a presentation on putting predictive analytics to work at the forthcoming Predictive Analytics World show in Washington DC (October 20th-21st with tutorials on the 19th). I always like to illustrate my points with real examples and I am going to be talking about Premier Bankcard, a SAS client. As [...]

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5 ways to reduce cost with predictive analytics

September 17, 2009

Earlier this week I attended a local Business Intelligence SIG to hear Eric Siegel speak.  This was essentially a preview of Eric’s keynote presentation at Predictive Analytics World next month on reducing costs with predictive analytics.
Eric is giving a webinar with me as part of the Decision Management Solutions webinar series – Optimizing Business Decisions [...]

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Using busines rules in stable, core processes

September 3, 2009

Talking with SAP today I made the comment that the best place to use business rules was often in stable, core business processes because those processes don’t change, only the decision rules within them. This clearly struck a chord with @GregChase and it made me think I should write a slightly longer version of what [...]

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Predictive analytics turn uncertainty into usable probability

July 31, 2009

Syndicated from ebizQ
Following on from yesterday’s post on analytics, let’s talk about predictive analytics. Another phrase I picked up while working at FICO was this one:
Predictive analytics turn uncertainty about the future into usable probability
Again, I don’t know if the phrase originated there or was just in common usage but it always struck me as [...]

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First Look – Oracle Real-Time Decisions 3.0

June 24, 2009

I got a chance to get an overview of the latest release of Oracle Real-Time Decisions, 3.0. This is the platform for real-time decisions on which various applications (for call center, web etc) are built and sold as part of the Oracle Applications suite.
The vision of this product is to optimize “return on attention” – [...]

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Which X is likely to do Y and so what?

May 28, 2009

Syndicated from BeyeNetwork
Gary Cokins had a great post – Fill in the blanks: Which X is Most Likely to X? in which he identifies some great uses for predictive analytics.Increasing employee retention, increasing customer profitability and increased shelf opportunity are classic uses. What Gary does so well in this post, though, is point out that [...]

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Data is still defensible

May 13, 2009

Syndicated from BeyeNetwork
In Is Data a new defensibility? Abhishek Tiwari argues that even data is not defensible any more. He argues that data integration and the use of new sources of data are key skills but that companies cannot use unique data to differentiate because there is too much data and too much of it [...]

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Some thoughts after attending Predictive Analytics World

February 24, 2009

Syndicated from b-eye network
Last week I was at Predictive Analytics World, a brand new show on the business value of predictive analytics. The show was a great success, I think, as it attracted a decent audience in very tough times and succeeded in bringing together not just those building predictive analytic models, but also those [...]

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Predictive Modeling for E-Mail Marketing

February 20, 2009

Syndicated from Smart Data Collective
Arthur Hughes (author of Strategic Database Marketing) and Anna Lu of e-Dialog.com presented on predictive modeling for e-mail marketing. Arthur has been developing databases for database marketing for 30 years or so. Initially he focused on databases but found that people could not use them to make money and that led [...]

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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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Predictive analytics in marketing decisions

February 10, 2009

I saw this little post over on Angoss’ blog:  The Score – Utilizing predictive analytics for marketing in 2009. In it they identify three areas in marketing where you could put predictive analytics to work. Each one struck me as deserving of a comment on the value of decision management in that context:
Marketing more optimally [...]

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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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In the coming recession put your customers first with decision management

November 20, 2008

I was pointed to a post today on the topic of customer service (Another Day, Another Customer-Service Nightmare on the EconoWhiner) that pointed out that companies
need to provide quality service and quality customer service if they’re going to survive an economic downturn as severe as this one?
Now I am not going to pick on AOL [...]

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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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