UnReDeregulated

Real Data Scientists Do It Themselves The ever increasing demand is far outpacing the supply of data science professionals. A lot of these gaps are filled in by professionals from different domains who are doubling up as data scientists. While these professionals are experts in their respective domains they rely on their academic training imparted to them about a decade or two ago. Around that time, the statistical techniques were not in vogue in subsequent work environment, they were not learnt with much interest and rigor. Also, the techniques were not subjected to large variety and volumes of data sets so their reliability and validity weren't put to stress test. Though these pseudo data scientists, relying on their training or some quick wiki reads or newsletters, are aware of various statistical techniques and even conceptually explain them to others but lack the rigor and know how to execute these techniques themselves. The rigor challenge does not pose much threa...

Tectonic Shifts and Disruptive Changes in Business Analytics Business Analytics is increasingly gaining prominence due to massive disruptive changes in almost all its constituents. Be it volume of data, be it types of data, be it currency of data, be it computing power, be it cheaper storage, be it tools and techniques, be it practices and methods, be it visualization, be it automation and customization of business processes, be it any aspect of data and analytics unprecedented changes are being witnessed. These changes are resulting in fundamentally new forms of products and services which were never imagined until recently. It is transforming practically every single aspect of all businesses at a magnitude and scope never imagined. The tsunamic magnitude and interdisciplinary scope of these changes have transitioned business analytics from nice to have to inevitable necessity at the core of businesses all over world. Origins of Business Analytics Originally, the te...