Requirements

White Paper of the Week: Decision Modeling for Business Rules Projects

As I am teaching a class on decision modeling this week, the white paper of the week this week is Decision Modeling for Business Rules Projects There is an emerging consensus that Decision Requirements Modeling is the best way to specify this decision-making. Decision Requirements Modeling is also central to a forthcoming standard, the Object Management […]

A Decision Model and Notation update – it’s submitted!

Well all our hard work has paid off and we submitted a proposed standard to the Object Management Group on Decision Model and Notation. This standard is intended to provide a standard business-friendly notation that can be used for initial decision requirements, for detailed decision models, and even to manage technical implementation of decisions in […]

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: 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 […]

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 […]

Customer Data Platforms in Marketing Decision Management

My old friend David Raab just published a new white paper The Customer Data Platform: A new foundation for customer management (download for free with registration from ReachForce). In this paper David reiterates the power of marketing automation with some great stats on how much better companies that apply marketing automation perform when it comes to […]

The role of decision requirements in the analytical life cycle

Earlier this week I posted on the value of decision requirements modeling in analytic projects when it comes to coping with some of the analytic skills shortages people face. But this is not the only reason to focus on decision requirements if you are focused on predictive analytics and data mining.  In fact decision requirements modeling […]

My work at the International Institute for Analytics

I am a faculty member for the International Institute for Analytics and recently published two new briefs on how to use decision requirements modeling in the successful application of analytics, especially (but not solely) more advanced analytics such as data mining or predictive analytics. Decision Discovery for a Major Business Function This outlines how an organization […]

Why Business Analysts Want Decision Management

The purpose of business analysis is to accurately describe the requirements for an information system (more or less). Business Analysts use a variety of techniques to do this. They use techniques designed to help them find out what is required, to elicit the requirements, and they use techniques to describe and model those requirements in […]