Posts tagged as:

Smart Data Collective

Risk by risk – a decision-centric approach to risk management

February 15, 2010

Syndicated from Smart Data Collective
Risk management is an important topic for many organizations, especially those in financial services. Most of these organizations acquire risk one customer, one transaction at a time – this customer is not going to be able to pay (risk), this transaction is fraudulent (risk), this deal will [...]

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Operational decision making as a corporate asset

January 27, 2010

Syndicated from Smart Data Collective
I often tell companies and other organizations that they should treat decisions and decision making as assets. In Smart (Enough) Systems, the book I wrote with Neil Raden, we said
Operational Decision Making as a Corporate Asset
If operational decisions must be made well for your organization to deliver on its strategy, they [...]

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Better customer service, better results with predictive analytics

September 16, 2009

Syndicated from Smart Data Collective
I recently hosted a webcast for Smart Data Collective titled “Putting Customer Value to Work: What Predictive Analytics Can Do for Your Bottom Line”. With Korhan Yunak of Vodaphone Group, Anne Milley of SAS Institute and Mike Rote of Teradata Corporation on the panel we discussed how predictive analytics can provide [...]

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Interview – Putting customer value to work

August 31, 2009

Brent Leary interviewed me last week and posted it on his Social CRM blog. You can read about the interview, and listen to it here: Brent’s Social CRM Blog: Putting Customer Value to Work with Enterprise Decision Management – A Conversation with James Taylor. In it Brent and I mention an upcoming webinar with the [...]

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Is the Speed of Decision Making Accelerating? Yes

July 22, 2009

Syndicated from ebizQ
Paul Brasch wrote a nice piece on Is the Speed of Decision Making Accelerating. He concludes, and I agree, that it is in fact doing so – the need to decide while customers are on the phone or on the website and the need for real-time systems to communicate and act instantaneously is [...]

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Analytics – the dark side?

July 21, 2009

Syndicated from BeyeNetwork
Oz Analytics – The Darker Side Of Analytics was an interested little post discussing the risk of using analytics to, in this case, to profile potential criminals based on past behavior. The use of analytics to predict crime and criminals is certainly growing and, as Steve said in his post, you have to
wonder [...]

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Analyzing and predicting user satisfaction with sponsored search

February 20, 2009

Syndicated from Smart Data Collective
Sugato Basu from Google presented on sponsored search (Ad Words) and how you can predict bounce rate, and thus user satisfaction, for a new ad. Ad Words, of course, are displayed when a search is made and tracking results involves tracking who clicks on the ads and whether they convert, explore [...]

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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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Expert Panel on Challenges and Solutions

February 20, 2009

Syndicated from Smart Data Collective
This session was a panel discussion on the cross-industry challenges and solutions in predictive analytics. Panel sessions are tough to blog so here are some highlights.

More and more analysts are having to do their own extract, transform, load work to access databases so having modeling tools that handle this, rather than [...]

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The unrealized power of data

February 20, 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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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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New Challenges for creating predictive analytic models

February 20, 2009

Syndicated from Smart Data Collective
Khosrow Hassibi of KXEN and Will Tangalos of Wells Fargo presented together on the challenges of predictive analytics in the real world and on Wells Fargo as an example of how some of these challenges can be met. Khosrow began with an overview of the basic predictive analytic tasks:

Understand the business [...]

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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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High-Performance Scoring of Healthcare Data

February 19, 2009

Syndicated from Smart Data Collective
Natasha Balac from UC San Diego and Michael Zeller from Zementis (their product was blogged here and their support for the amazon.com compute cloud was discussed here) presented on the use of Medicare and Medicaid data to detect and prevent fraud. The high computing center at UC San Diego (San Diego [...]

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The High ROI of Data Mining for Innovative Organizations

February 19, 2009

Syndicated from Smart Data Collective
John Elder presented a collection of case studies to showcase the ROI of data mining. John started by making the point that many of his case studies had technical success but not business success – an interesting statistic. John sees three major ways that predictive analytics can help – streamlining, eliminating [...]

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SAS and the art and science of better

February 19, 2009

Syndicated from Smart Data Collective
Anne Milley from SAS, one of the sponsors of the show, spoke on the art and science of better. Data is often messy and the enterprise is not a lab. Nevertheless, she says, we can still bring science to bear. We can observe, define, measure, experiment, learn and ACT. Anne had [...]

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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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