According to Statista, the total amount of data created, captured, copied and consumed globally is projected to grow to more than 180 zettabytes by 2025, from the 64 zettabytes in 2020.
For the past forty years, companies have been building all their financial and business decisions around information contained in traditional data structures. Virtually all financial systems, no matter who has designed them, have been built around relational databases. This brings the same set of issues and challenges to every single system.
The health department has invited expression of interest for its ambitious e-health project, which envisages an electronic health card for all the people who seek treatment in government hospitals across the state.
Ok, full disclosure up front: I am a big proponent of Data Mining and Predictive Modeling as being the next logical step in the evolution of business intelligence and decision support capabilities for the business user. So it should not be a surprise that my reaction to the recent CIO Magazine webcast on SAPs new Predicative Analysis software solution is enthusiastic.
I recently attended a webinar sponsored by SAP. The topic was Managing Big Data as Enterprise Information. There were two parts to this webinar: the first, a conceptual presentation around Hybrid Data Ecosystem by Shawn Rogers from EMA; the second, Marie Godell explained how SAP solutions support the Hybrid Data Ecosystem.
