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Analytic practitioners speak – an interview with Lee Feinberg of DecisionViz

Please describe your current role and title

DecisionViz is a management consultant that helps companies build leadership in the processes, people, and culture around data visualization. We work with senior management to elevate visualization from the activity of reporting and making charts to being integrated with their daily decision-making. I founded the company in 2012.

What’s your background, how did you come to be working in analytics

Our story I think is like many in the analytics field. It’s been more of an evolution and the company has been almost 20 years in the making.
I was very involved with the Internet before most people heard about the Internet. So we were dealing with how to capture and measure all this new data. I’ve always been on the lookout for how to make that a lot less painful. Most of the work was in financi

Decision-centric dashboards and application lifecycle management with Assure

We have become increasingly convinced that decision modeling, especially decision modeling using the Decision Model and Notation (DMN) standard and DecisionsFirst Modeler, is a great way to design dashboards. Building a decision model focuses on the decisions that must be made by the user of the dashboard, on how they make that decision and on the information and knowledge that they need to make a good one. Doing this before drilling into the specific user interface elements involved keeps the focus on business outcomes not on look and feel – on steak, not sizzle. I’m delighted to announce that we have developed a new partnership to apply this approach in Application Lifecycle Management.

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Another analytic practitioner speaks – an interview with Tracy Altman

Last year I interested Andrea Scarso, CEO of MoneyFarm, about analytics. This was a hugely popular post so I thought I would continue the series this year by interviewing some other analytic practitioners. The first in this continuing series is an interview with Tracy Allison Altman, co-founder of Ugly Research. Ugly Research are developing PepperSlice, […]

Another analytic practitioner speaks – an interview with Tracy Altman

Last year I interested Andrea Scarso, CEO of MoneyFarm, about analytics. This was a hugely popular post so I thought I would continue the series this year by interviewing some other analytic practitioners. The first in this continuing series is an interview with Tracy Allison Altman, co-founder of Ugly Research. Ugly Research are developing PepperSlice, an analytics application for explaining recommendations to decision makers.  She’s on Twitter @EvidenceSoup, blogs at EvidenceSoup.com and you can read about her work at Ugly Research.

What’s your background, how did you come to be working in analytics?

I started out as an engineer, evaluating oil and gas investment decisions. This sparked my interest in data and analytical methods, so I got a Master’s (Computer Science concentration) and then a PhD in Pub

White Paper of the Week: Transforming Retail Marketing with Predictive Analytics

The white paper of the week this week is Transforming Retail Marketing with Predictive Analytics Retailers need to develop a loyal customer base and market effectively to them. But customers increasingly shop in multiple channels and formats, and have more choices than ever before. Using analytics to target customers with personalized marketing can transform the retail […]

Newsletter: Why Analytics Projects need Decision AND Process Thinking

We recently sent out a newsletter “Why Analytics Projects need Decision AND Process Thinking” explaining why we see value in modeling both processes and decisions when it comes to analytic projects.  Identifying decisions in business processes doesn’t define decision making. Processes may how when decisions are made. who makes decisions. what information they use an even […]

Here’s one effective way to avoid screwing up predictive analytic projects

There’s a great article over on Computerworld – 12 predictive analytics screw-ups. They asked some of my favorite data miners (John Elder and Jeff Deal of Elder Research, Eric Siegel of Prediction Impact and Dean Abbott of Abbott Analytics) what they saw as the top ways to screw up predictive analytic projects. The list of 12 […]

The role of decision modeling in a data-driven culture

I recently checked out The Evolution of Decision Making – How leading organizations are adopting a data-driven culture, a new white paper from the Harvard Business Review sponsored by SAS: People have long preached the benefits of relying on data and insights from business intelligence (BI) and analytics to help make better and timelier decisions. A reliance […]

New column – Performance management or just performance monitoring?

Information Management just published my latest column – Performance Management or Just Performance Monitoring? I am often struck by the investments companies make in monitoring their performance without any matching investment in being able to manage the systems that drive that performance. Decision Management and Performance Management should be a pair, driving true business cockpits. Enjoy.

Marketing Decision Management: Critical Elements in a Solution

As we start the series let’s begin with a set of what I consider to be critical elements in a Marketing Decision Management solution. These are not a complete set of everything a solution might do but a set of critical elements from my (decision management) perspective. A suitable marketing solution is: Multi-channel, supporting inbound […]