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Organizations have multiple channels for interacting with their customers. Each channel has its own platform for valid technical reasons. And each line of business has its own systems while customer data is spread across multiple databases. To deliver customer centricity, organizations need to connect these elements effectively. At the heart of effective customer interactions are [...]

IBM recently announced it was buying Unica. As I work with both IBM and Unica I thought I should post some comments. To me, this is an interesting example of the ongoing evolution of decision management as a market. Today most customers aren’t looking explicitly for decision management solutions. Rather they are seeking business solutions [...]

I am acting as host for a Smart Data Collective webinar “Trendspotting for Growth: Finding the patterns that lead to smarter action with Analytics” on July 15, 1 PM ET / 10 AM PT. You can register here and I hope to see you there. As companies using analytics know, data is key to developing [...]

National Australia Bank group (a 15 year Teradata customer) presented on their use of Teradata for multi-channel marketing. NAB has 10.9M customers worldwide and about 38,000 staff. Brock Lynch, from the marketing group within the retail bank, gave an overview of their analytical CRM approach. NAB sees its analytical CRM assets as: Complete customer data [...]

This is a piece I wrote for Chris Pratt’s quarterly financial institutions newsletter The use of technology to automate and manage decisions, especially high volume decisions essential to day-to-day operational execution, is expanding rapidly. Beginning with the consumer credit business, use of decision engines and decision management has spread to all aspects of financial services [...]

Guest intelligence at Target

Guest intelligence is something Target use to drive marketing and merchandising decisions. Target, of course, is a large US retailer that does business in 49 states and has a major web presence. Target has guest data from panel surveys,  store surveys and operational data and regards these all as valid sources of guest data, without [...]

Syndicated from BeyeNetwork Jeff Jonas had a great post on his blog recently, Your movements speak for themselves: Space-Time Travel Data is Analytic Super-Food! in which he made the point that: Mobile devices in America are generating something like 600 billion geo-spatially tagged transactions per day. With such huge volumes involved, this information is only [...]

First Look – Convergys

While I was attending the Business Rules Forum a few weeks back I got my first chance to learn about Convergys. A major sponsor of the event, Convergys is focused on improving the customer experience and customer relationships using decisioning technologies. Building on a history in customer care and billing, Convergys is now a nearly [...]

SAS customers and fraud detection

Another customer panel courtesy of SAS. This one had Rex Pruitt from Premier Bankcard (I blogged about how Premier put predictive analytics to work and Rex presented at Predictive Analytics World), Chris Swecker formerly of the FBI/Bank of America, Cameron Jones SAS’ Chief Compliance Officer and was moderated by Ellen Joyner. Fraud, obviously, is a [...]

SAS customers and optimization

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 [...]

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” [...]

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 [...]

First Look – Unica

A little while ago I got an update from Unica. While Unica may seem like a slightly tangential topic for me it actually is not. Not only do I think that many efforts to adopt decision management start with customer marketing decisions (Unica’s focus as part of Enterprise Marketing Management) but Unica has done a [...]

Continuing some posts on next generation warranty systems in the build up to speaking at the Warranty Chain management conference I thought I would contrast how current generation warranty systems handle critical decisions with how next generation systems do so. Decision Today Next Generation Is Claim Valid? Data validation rules are coded into the user [...]

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 [...]

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 [...]

First Look – Sonetto Retail

I got a briefing on IVIS Group’s Sonetto product this week. Sonetto is most famous as the platform for Tesco’s multi-channel strategy. Sonetto is a product designed to focus on multi-channel operations, especially (but not exclusively) multi-channel retail. They make the very valid point that multi-channel retail is complex. Not only do retailers have multiple [...]

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…

Eric Siegel, who is chairing the new Predictive Analytics World show, presented on predictive analytics and business rules. Predictive analytics, says Eric, is a business intelligence technology that products a predictive score for each customer or prospect … and explanations thereof. These scores come from predictive models that are developed across your historical data. This [...]

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 [...]