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 […]
I am speaking with Dean Abbott at the TDWI Executive Summit in San Diego, August 20th at 4:15pm on Ten Best Practices in Operational Analytics One of the most powerful ways to apply advanced analytics is by putting it to work in operational systems. Using analytics to improve the way every transaction, every customer, and every website visitor […]
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 […]
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 […]
Syndicated from my blog on the International Institute for Analytics Site IIA is talking about analytics entering a new era, Analytics 3.0, The Era of Impact. What is Analytics 3.0? According to IIA, Analytics 3.0 marks the stage of maturity where leading organizations realize measurable business impact from the combination of traditional analytics and big data. High-performing companies […]
Analytics magazine recently published an article I wrote on Operationalizing Analytics. The need to create a more industrialized process for building and deploying analytics is one I discuss regularly on the blog and in articles. As I say in the article: To broadly and effectively adopt predictive analytics organizations must operationalize analytics. Operationalizing analytics requires […]