The speed at which executives expect data-driven insights is accelerating. How can organizations ensure that investments they make in analytics today will have the flexibility to cope with the demands of tomorrow? Successful outcomes require a business-driven approach, and the big data and
We are living in the age of distraction. We need to absorb more information, coming at us from more different sources, than ever before. It’s creating a kind of cognitive overload that can often lead to indecisiveness and missed business opportunities. To curtail this chaos and narrow the field of
Big data is everywhere and enterprises require an architecture that supports analysis and insight upon all data sets. The next generation architecture for big data and analytics helps illustrate this concept and ways organizations can harness the power of big data today.
I asked this question of Mark Ramsey, chief data officer at Samsung Mobile. I know what comes to mind when I think of data is data strategy, data quality, data integration, governance and data infrastructure. Being from the technology industry, and IBM in specific, data and analytics are two