analytics

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 […]

A Practitioner Speaks: Requirements for analytic projects

Continuing to expand on the questions I asked Andrea Scarso co-founder and COO of MoneyFarm when I interviewed him I wanted to focus on the question “How, specifically, do you develop requirements for analytic projects?” “In my opinion, it is paramount to start from the single and specific decision needed. Then, with a top-down process, to analyze its component elements: hard data, […]

A Practitioner Speaks: Top challenges for analytic professionals

One of the questions I asked Andrea Scarso co-founder and COO of MoneyFarm when I interviewed him was “In your experience what are some of the top challenges for analytic professionals in terms of maximizing the business impact of what they do?” In this post I’ll take a couple of his comments and expand on them […]

Nice article on A/B Testing

Matt Gershoff, CEO of Conductrics (a product we reviewed here) wrote a nice piece on A/B Testig over at the Analyzing Media blog – It’s all One Big Decision: Testing, Analytics, & Targeting. Matt discusses the role of A/B testing, of predictive analytics and of optimization in a nice, straightforward piece. Well worth reading. I wrote […]

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 […]

A Practitioner Speaks: Analytics and Decision Management

I recently caught up with Andrea Scarso, co-founder and COO of MoneyFarm. MoneyFarm is a startup whose target is to modernize and democratize the European panorama of retail investment services, leveraging the opportunities offered by the web and by process automation. Andrea designed the main decisioning processes. What’s your background, how did you come to be working in analytics? […]

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 […]

Some common misconceptions on automating decisions

Regular readers of my blog (as well as those who hear me speak and our Decision Management clients) know that I talk alot about automating decisions. Really, a lot. The evidence that taking control of decisions, specifically operational decisions, and developing Decision Management Systems to automate and manage those decisions drives improved organizational effectiveness is […]

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 […]

Big Data and Decision Management Systems: The impact of Velocity

The third and final post in my series on the impact of Big Data on Decision Management Systems: The impact of Velocity. As more data arrives more quickly we have to deal with velocity in two ways – we have to decide more quickly and we have to deal with data “in motion” – streaming […]