Data analytics are shaking up multiple industries. McKinsey recently surveyed and found that almost 90% of executives reported that their organizations were only somewhat effective at meeting the goals they set out for their data and analytics initiatives. In many cases, the culprit is a gap between launching a few analytics experiments and embedding these insights into the operating model of the larger organization. Many companies invested in analytics systems without fully appreciating that turning data into real value requires a profound reshaping of their day-to-day workflow. Others are still lagging behind in terms of fully digitizing transactions and processes to generate and collect all the data that could be useful.