IVIS-20; Focus on the data “process” and #MDM to solve big data analytics challenges.
Next step – MDM in incremental steps (e.g. reference hubs).
The included article takes a look at the challenges facing big data analytics, as identified by a HW vendor, Hitachi ( Inadequate datacentre infrastructure is a barrier to big data analytics ). However, I would argue that by far the biggest reason for successful BI/analytics is data, not how you cut/slice/aggregate/manage it but “what is it?”
Data consistency and “data process” are key opportunities for IT innovation.
As IT attempts to evolve to the concept of TBM (Technology Business Management), data stewardship will be a key underpinning of driving business value. Rather than have this become another piece of shadow IT taking budget from a CIO, the fact that data and process are enterprise-wide makes this something IT needs to grab hold of and drive.