23rd
February
2009
I recently got a chance to discuss EpiAnalytics product offerings and see a brief demonstration. EpiAnalytics provides contact center analytics to improve customer service and technical support business processes using analytics (including text analytics) and decision automation to automate the manual analysis of leads and support emails. The results are then plugged into an engine [...]
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posted by James Taylor in Analytics, Product News |
20th
February
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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posted by James Taylor in Analytics |
20th
February
2009
Syndicated from Smart Data Collective
Andreas Weigend, former amazon.com Chief Scientist, gave a keynote on the unrealized power of data. He started with a historical perspective. In the 70s perhaps 10M used computers, mostly in the back office. By the 80s this had reached 100M and the front office. By the 90s the internet and search [...]
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posted by James Taylor in Analytics, Strategy |
20th
February
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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posted by James Taylor in Analytics, Decision Management |
19th
February
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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posted by James Taylor in Analytics, Data Mining, Decision Management |
16th
February
2009
This post caught my eye last week – ecommerceinsights.com Blog » Automated recommendations: ubiquitous in 2009?
Predictive merchandising becomes ubiquitous, and the crowd begins to separate. “Predictive merchandising” is also referred to as “automated merchandising” or “personalized product recommendations”. Whatever term you like (or are marketing) we will see this area are the “product reviews of [...]
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posted by James Taylor in Analytics, Decision Management |
10th
February
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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posted by James Taylor in Analytics, Decision Management |
5th
February
2009
Gerhard Hausmann presented on Barmenia and their use of business rules to improve customer experience. Barmenia is a private health / life insurance company in Germany with more than 2M contracts and 1.5Bn Euros in premiums. Been in business since 1904 and still have contracts that date back to the last century. In Germany there [...]
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posted by James Taylor in Business Rules, Decision Management |
5th
February
2009
Frank DiGiovanni of Group RCI (a vacation exchange and vacation rental company, part of Wyndham Worldwide) presented on their journey – a legacy modernization using ILOG Rules. Frank identified SOA, legacy migration from mainframe to SOA and how business rules complements these as his key topics. Group RCI’s core problem was threefold:
Members: had to call [...]
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posted by James Taylor in Business Rules, Decision Management |
22nd
January
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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posted by James Taylor in Business Rules, Data Mining, Decision Management |