Currently at the Dataflux IDEAS conference, and have sat through two sessions in which the speakers are discussing how the amount of data is exploding, with the implication that we need more effective data governance to manage this flood. While I cannot disagree with the sentiment, I'd have to suggest that buried within both speakers' messages lies the challenge:

Instead of attempting to address new data challenges with traditional approaches, we need to reinvent data governance in the context of the changing ways that people are using that data.

The more data there is, the more difficult it is to filter out the signal from the noise. How does one distinguish between the requirements for overseeing signal and those for noise? More to follow...