Being able to effectively measure a RoI on the back of an Advanced Analytics project is paramount. In other words, any Advanced Analytics project that is not business outcome driven is worthless.
Throughout industries analytics has taken on an almost ubiquitous nature of late. There are increasing demands for data scientists, open source developers and an in-house capability for providing actionable insights through data. But, can an analytics capability be provided by a data scientist or developers alone?
Analytics is being discussed more and more often in top table conversations, but why do so many organisations still struggle to get to grips with it?
Watch Pierre Baviera speaking at “Demystifying Data” Business Breakfast at the Imperial Hotel (Cork), in association with Cork Chamber.
A 3 step process to Understand, Assess and Audit your Data for Advanced Analytics.
Presidion’s Framework Approach for a Technology Review involves a 3 step process, leading to the recommendation of the right mix of Technologies, SW and Tools for Data Science and Advanced Analytics implementations.
With inspirational quotes from Data and Analytics gurus worldwide.
Take the Analytical Maturity model presented in Thomas Davenport’s “Competing on Analytics”. Would you consider your organisation as having Analytical Aspirations or as a true Analytical Company?
There are times when deploying advanced analytics initiatives can feel like you are in a war. There are times when deploying advanced analytics initiatives can feel like you are in a war. Let me tell you about my experience, told as war movies!
After our last A4B “War Stories - Data Analyst Down”, we asked the keynote speaker, Rob Woods (Solutions Architect at IBM) one question about his experience building and implementing Analytics Solutions.