Big Data

Great New Case Study – Bringing Clarity to Data Science and Analytic Projects

We have been helping several organizations improve their analytic and data science projects. Like many users of analytics, these organizations find that their analytic teams often lack a clear understanding of the business problem, resulting in projects that lose their way or produce analytic  models that don’t get operationalized, deployed or used. We have helped […]

Predictive Analytics World 2017: The Role of Decision Modeling in Creating Data Science Excellence

Join me and Tina Owenmark of Cisco when we speak on The Role of Decision Modeling in Creating Data Science Excellence at Predictive Analytics World in San Francisco. Cisco’s Data Science Office focuses not just on data science, but also on shaping the questions and answers for Cisco’s operational groups. They focus not on technology or […]

Can Machine Learning Solve Your Business Problem?

One of my LinkedIn contacts recently pointed to this great little article on HBR – How to Tell If Machine Learning Can Solve Your Business Problem – and it makes some points that show the potential for decision modeling to help you better apply machine learning and other analytic techniques. The author begins by pointing out that automation is […]

Why Focus On Information Systems? Rapidly Increasing Scale

Part Two of Why Focus On Information Systems? While evolving customer expectations and a demand for immediate responses is often enough to push enterprises to enhance their information systems, other enterprises take the plunge after realizing today’s rapidly changing scale of operations. As the world uses the internet, and social media in particular, the consumer data […]

Why Focus On Information Systems? Evolving Customer Expectations

Part One of Why Focus On Information Systems? Many enterprises fall behind the competition when they fail to realize their success is tied to their information systems. How these systems operate defines how the entire enterprise operates, and how it communicates with people reflects how your enterprise does so as well. In the face of evolving […]

When Big Data Falls Short, Decision Modeling Bridges the Gap

Looking back over the last decade, it is plain to see that Big Data exploded seemingly out of nowhere. From a strange new term to a household name overnight, Big Data undoubtedly has more to offer in the coming years, but how to extract its many secrets? The Business Intelligence industry as a whole may […]

Version 7 of The Decision Management Systems Platform Technologies Report

We’ve posted Version 7 of our popular Decision Management Systems Platform Technologies Report with new content on The Analytics Capability Landscape. We also welcome new vendors Blue Yonder and Erudine to the platform vendor index. Overview Organizations are adopting a new class of operational systems called Decision Management Systems to meet the demands of consumers, regulators and […]

Upcoming Webinar: Analytics Maturity Curve or Landscape? Your Questions Answered

November 6, 2014 2 pm ET/11 am PT Register here. What’s the difference between the various analytic capabilities? How do I map available analytic capabilities to my business needs? What’s the right combination of capabilities for me now and in the future? What should I look for in each of these capabilities to make sure […]

Challenges Scaling Open Source R – Part 2

I recently did some research on the requirements for enterprise-scale analytics and the challenges of using open source R in this context. In my first post (Requirements for Enterprise Scale Analytics with R – Part 1) I outline some of the requirements I see for enterprise scale analytics. In this second post I will discuss the challenges of R […]

Requirements for Enterprise Scale Analytics with R – Part 1

I recently did some research on the requirements for enterprise-scale analytics and the challenges of using open source R in this context. In this first post I wanted to outline some of the requirements I see for enterprise scale analytics and in a second post I will discuss the challenges of R in that context. As advanced […]