The general session kicked off talking about democratizing analytics, which requires putting the right tools in people's hands when and where they want to use them. And also the necessity of analytics becoming a part of everything we do.
These points were driven home by David Becker of the Pew Charitable Trust when he took the stage with IBM's Jeff Jonas Chief Scientist and IBM Fellow. Becker spoke about the data challenges and troubles with maintaining accurate voting rolls. He talked about more than 12 million outdated records across 7 US states. Other issues mentioned by Becker included deceased people still legitimately registered to vote, people registered in multiple states, and the biggest issue, 51 million citizens not even registered.
Then Jonas told the story of how Becker invited him to attend some Pew meetings because he had heard about Jonas' data analytics expertise. After sitting through the first meeting Jonas immediately recognized the problem as being all about context. Jonas offered up a solution to match voter records with DMV records instead of relying on manual modifications.
I followed up the general session by attending a pitch on Big Data and System z delivered by Stephen O'Grady of Redmonk and IBM's Dan Wardman. Stepehen started off the session and he made a couple of statements that were music to my ears. First, "Data doesn't always have to be big to lead to better decisions." Yes! I've been saying this for the past couple of years.
And he also made the observation that since data is more readily available, businesses should be able to move toward evidence-based decision-making. And that is a good thing. Because if instead we are making gut decisions or using our intuition, the decisions simply cannot be as good as those based on facts. And he backed it up with this fact: organizations using analytics are 2.2x more likely to outperform their industry peers.