data scientist

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 […]

Big Data and Decision Management Systems: The impact of Volume

Big Data is often described in terms of an increase in volume, an increase in velocity and an increase in variety: More data, of more types, arriving more quickly. In this short series of blog posts I will discuss the impact of each aspect of Big Data on Decision Management Systems – systems designed to […]