crm

Decision Management Orchestrating Consistent Enterprise-wide Decisions #iod11

October 25, 2011

Erick Brethenoux, Pierre-Henri Clouin and Asit Dan presented on IBM’s Decision Management approach – a nice chance to see both the Business Analytics and WebSphere bits of IBM talking about the same problem. CEOs consistently tell IBM that volatility, uncertainty and complexity are continuing issues. CIOs with a mandate to transform the business are responding [...]

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Many Kinds of Analytics, One Approach to Maximize Their Value

June 21, 2011

Working with clients it is clear that the interest in analytics has never been greater than it is today. Yet there is still confusion about what analytics means. We have web analytics to analyze logs and clickstream data to optimize websites; data mining and predictive analytics to analyze structured data to segment customers and to [...]

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Social Media Analytics with IBM

June 2, 2011

IBM sees Social Media Analytics as part of Customer Analytics rather than as a separate category – the reason for analyzing social media is to better understand customers and what they are thinking. It is not enough, says IBM, to understand and analyze social media. This understanding must be integrated with other kinds of analytics [...]

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First Look – G Stat

April 21, 2011

G-Stat is a privately held Israeli company focused on advanced analytical and data mining solutions. The founder of G-Stat began his career as an econometrician, focusing on large time-series data initially. Then he worked at the Bank of Israel in IT helping translate what the economists and others needed into information systems. He rapidly became [...]

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First Look – Activant DynaChange rules

April 13, 2011

I saw an interesting press announcement the other day about Activant’s new business rules functionality. Activant (who recently agreed to be acquired and merged with Epicor) is an ERP provider focused on distribution and retail – 60% of revenues come from retail and 40% from distribution. Activant as a whole has 15,000 customers concentrated in [...]

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Rexer Data Mining Survey Results

March 8, 2011

Karl Rexer has just released the results from his annual survey of data miners – RexerAnalytics.com/Data-Miner-Survey-Results-2010.html. This year 735 data miners responded to an extended survey. Interesting facts from this year’s results:

CRM and Marketing remain the top focus area with goals like retaining customers and understanding them better coming top also.
Decision trees, regression analysis and [...]

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SAP Run Better Tour – Geoffrey Moore

February 23, 2011

After yesterday’s sneak peak the BI 4 launch event – the “Run Better Tour” – kicked off this morning with the main tent event. Geoffrey Moore focused on changes in enterprise IT – specifically the move from what he calls systems of record to “systems of engagement” driven by the consumerization of IT. Enterprise IT [...]

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First Look – Attensity 5.5

February 16, 2011

I got a chance to catch up with Attensity after a long absence recently (I last blogged about Attensity in 2008). Attensity has been doing text analytics and customer experience monitoring for 10 years or more. Their approach includesfour steps –  Listen, Analyze, Relate, Act (from a decision management perspective it is nice to see [...]

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First Look – Portrait Software

October 19, 2010

Portrait Software, now part of Pitney Bowes Business Insight – has a tag line of “Make every interaction count” so, with my focus on micro decisions, I wanted to get an update. Since the early days of Quadstone (acquired by Portrait some years ago) the focus of this team has been to help people get [...]

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Pegasystems and Chordiant – an update

September 14, 2010

I got an update from Pegasystems recently, mostly to talk about how the integration of Chordiant is going. I shared my original thoughts on the Pegasystems/Chordiant combination at the time but this was my first chance to chat with them since then.  Pegasystems continues to do well with its  12th record revenue quarter and climbing [...]

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Webinar – Delivering customer centricity across multiple channels, multiple platforms

August 30, 2010

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 [...]

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Improving customer interactions one decision at a time

August 24, 2010

Syndicated from ebizQ
William Band at Forrester (@waband) recently tweeted that his next research project was:
When to use CRM apps vs BPM tools to improve customer interactions? Pros & Cons of each?
I replied that companies should be sure to manage customer treatment decisions too and he asked me to expand on that thought.
Every [...]

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The opportunity for opportunity analytics

June 23, 2010

Syndicated from Smart Data Collective
Some time ago Neil Raden and I did some research on analytics. It was clear as we did this that there were two main threads of analytic use in companies – risk analytics and opportunity analytics. I blogged before on the use of analytics to manage risk one risk at a [...]

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Two interesting IDC predictions

May 11, 2010

The nice folks over at IDC let me take a look at IDC – Worldwide Application Development and Deployment: 2010 Predictions. I have a somewhat narrow focus (Decision Management) so only two are really in my zone. First, #10:
10. Decisioning Products Will Be Unified to Deliver a Decision Management Platform
This is obviously right [...]

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Teradata – National Australia Bank and next best action

April 27, 2010

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 stored [...]

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Teradata Customer Management Portfolio

April 27, 2010

Marc Schroeder presented on Teradata’s customer management portfolio – Teradata Relationship Manager (TRM).  Clearly the move to multi-channel, customer-centric customer relati0nships and the growth in data and behavioral data particularly are driving new demands in customer relationship software. Vision:
Maximize customer profitability by enabling a comprehensive interactive marketing environment that manages intelligent customer dialogs, leverages behavioral [...]

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Upcoming webinar on unstructured data

March 31, 2010

I am a featured blogger and member of the advisory board over on Smart Data Collective. SDC  has an interesting looking webinar coming up: “Putting all of the Pieces Together: Finding Value in Unstructured Data” happening on April 21st at 1pm EST.  Stephen Baker (author of The Numerati) and folks from Accenture, Teradata [...]

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New Rexer Analytics survey

March 30, 2010

Syndicated from BeyeNetwork
I recently got the survey results from the annual data mining survey that Karl Rexer of Rexer Analytics runs. You can get the summary here or the full results from Karl but here are my thoughts:

Data mining is everywhere. The most cited areas are CRM / Marketing and Financial Services with a [...]

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Early results from the Rexer data mining survey

November 23, 2009

Karl Rexer of Rexer Analytics sent me a note the other day about some early results of the 3rd Annual Data Miner Survey in the Spring of 2009.  Like the previous surveys (I blogged about the 2008 survey), it  examined data miners’ algorithms and tools, opinions and views, types of data analyzed, challenges encountered, and [...]

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Cost reduction in bill insert campaigns with predictive analytics #paw

October 20, 2009

Stamatis Stefankos gave a presentation on his work with Sunrise Communications to forecast and reduce printing and mailing costs in a CRM context. Sunrise is the #2 telco in Switzerland with mobile and landline customers with 1.7 mobile customers (the majority). They have a typical data infrastructure with a data warehouse that pulls in data [...]

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