Why Modern Data Management Needs a Governed, Self-Service Approach
IT Pros, have you felt left out of technical projects lately? Yes? You are not the only one. According to the Qlik-CXP 2016 Barometer, 34 percent of IT and BI executives are no longer involved in data-related projects. Discover our video that illustrates in real-life how governed self-service helps IT take more initiative.
It’s generally understood that data is at the heart of the digital transformation. However, much of today’s data lies unused. In fact, IDC estimates that less than 1 percent of the data produced in the world is analyzed. And business users have a lot of progress to make in terms of utilization: according to McKinsey, only 7 percent of employees’ digital potential is currently achieved. According to Blue Hill Research, up to 80 percent of a data analysts’ time is spent preparing data, leaving only 20 percent of time for analysis, which is where they add the most value.
Finally, in the face of massive expectations, IT does not always provide the right answer despite its traditional dominance in data management: a small number of data specialists elaborate on data models, define access policies, oversee data management, quality, data protection and monitor its use.
This centralized governance is not adapted to the new situation: data management is the business of several stakeholders rather than that of a single specialist. In 2016, the Experian Group introduced new data experts such as data analysts (42%), the Chief Data Officer (22%), the Chief Financial Officer (22%) and the Chief Marketing Officer (14%). It says the CDO are involved in 42% of the cases, etc.
These new roles need data and want “everything right away”. Giving these business users the ability to be autonomous, and take control of data with intuitive tools to collect, optimize, analyze and integrate it in order to extract value.
