Holistic Data Gathering and Multi-Protocol Access for Predictive Analytics

In traditional BI environments, structured data are stored, aggregated and analyzed to understand past business transactions. This as-is analysis approach is no longer sufficient to create predictive and prescriptive analytic models, and advise the organization on potential paths forward. Predictive analytic modeling requires storing structured and raw unstructured data. Join me to review the differences between BI and modern analytics engagement processes, the data requirements and how analytic modeling contributes in creating business value even. I will explain why it is important to store ALL data (and not just aggregated) and how EMC’s Data Lake is simplifying this process. We’ll take a look at some performance figures from IDC and a brief introduction into a future self-service oriented EMC Business Data Lake solution.