Big Data - why data governance and data management are so important with even more volume and sources of data

In this Aberdeen research brief from TDWI which is sponsored by IBM, they make the point that with the increase in the number data sources and the increase in the size of those implementations more care needs to be taken with data governance to ensure that the data is correct and trustworthy.

In this white paper by EMA from Information Management they make the point that in this world of multiple data sources with more immediate data availability, Data Management is even more needed not less.  That then makes Data Modelling more complex in order to be inclusive.

It makes sense to have more rigour in data governance before you spend time and money on implementing a database otherwise you will not get the ROI (return on investment) you expect.  You may also find that you make bad decisions based on incorrect data which could cost you even more. Add to that the multiple data sources for the same information it is crucial that the same definition is used for the same piece of information. A customer should be a customer no matter where the data came from. This means a data model should be accurate to those definitions also at the conceptual and logical level, with the physical level showing the real implementation.