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.
The truth is that there are many factors and forces at work that help build a successful analytics project and/or programme. The ultimate goal is Actionable Insight
While I’m not sure this statement is true when referring to people, I really believe it is true when talking about data. I have absolute belief in the richness of data and its ability to enable us to make evidence based decisions.
As I observe and read about the raging fires causing massive destruction, I have been reflecting on how companies react and respond to crisis mode, and what they can do to move from firefighting to strategic prevention and management.
After our last A4B we asked the keynote speaker, Anthony O’Neill (Director, Analytics Centre of Excellence at eir) two questions about his Analytics journey.
The science and psychology to get the 'Bikini Body' you have always wanted (with Predictive Analytics).
The reasons behind, and some hints to help you during difficult conversations and challenging situations!
When you start with Analytics you might feel overwhelmed, you have all that incredible power in your hands but don’t know how to wield it most effectively. From my own experience I can tell you that starting with Analytics is not different from learning a new language or how to play a musical instrument, the more you practice, the better you get. So just how do you go about getting the most from this valuable asset? You can start by not making any of these five common mistakes.
Preventative and Conditional Maintenance are often mistaken with Predictive Maintenance. This animation gives you an overview of the different types of maintenance, the differences between them and what Predictive Maintenance is really about.
Reports from the insurance industry consistently highlight that the quality of customer experience remains the biggest factor driving customers to remain loyal or switch to another insurance provider. Hence, the focus should be on how to improve the quality of the customer experience rather than reducing fraud.