© 2011 IBM Corporation Big Data is not alone in Big Organizations Rudi De Backer – Associate Partner BAO

© 2011 IBM Corporation 2 Big Data : (Very) Nice, but…there are some challenges

© 2011 IBM Corporation 3 First Challenge – what data is most important for you? Your Account AmountHITS NAME ATTENTION ASSISTSpeed Limit FACEBOOKExam Results It depends …

© 2011 IBM Corporation 4 Next to big data, there is still a bunch of “little” data of importance Whole economy is still working mainly on ‘little data’ sets Big Data Volumes are coming in the picture and showing their potential The main challenge now is to combine the “little” and “big” insights

© 2011 IBM Corporation 5 Big Data needs Big Managers? Big Organizations have since years typical BI Departments in place, Those overloaded Departments are used to work with “little” data The main challenge now is to get the “Big Data” experience

© 2011 IBM Corporation 6 Big Data needs Big Managers? Some Big Organizations will set up their own team of “Data Scientists” Most of them will search for a “Service Provider” to provide analytical insights and data enrichment. This is a major opportunity for Service Companies acting in this space

© 2011 IBM Corporation 7 Changing Old Habits Question: How influenced are you by “analytics” when taking a decision? Most of the Organizations still think process and not data The new insights will change their way of working The challenge here is to bring an Information Agenda on the table

© 2011 IBM Corporation 8 Bring Science to the Management Board Most of the Management is still relying on Judgment Management does not understand the outcomes The challenge here is to bring TRUST to come to BIG JUDGMENT HBR Study on Data-driven Decision Making Unquestioning Empiricists – trusting analysis over judgment Visceral Decision Makers – only trust their gut Informed Skeptics – balance judgment and analysis

© 2011 IBM Corporation 9 And what about you if you become part of a Big Organization? Are you the First Generation of Believers in Analytics? Do you know how to use Analytics in your Future ? Do you see yourself as a “Data Scientist”?