IBM IOD 2013The Big Data Event of IBMA Visit ReportBy Anurag Shrivastava

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Learning from IOD

A reference pattern about how unstructured versus structured and real time versus batch analytics fit together.

Streaming based analytics in making inroads in the enterprises.

Companies in financial sectors are using sensors and cloud based solutions to solve the problems with big data in an innovative way

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Data in Rest or Data in Motion Analytics

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Data Lake

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Insurance Telematics (SmartRide Project)

Current Processing – 2.5 days to process 8B rows and reduce to

1.3B rows, Cleaning Nulls

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What does it mean for us?

Sensors can be embedded at not so obvious locations to build innovative solutions

Sensors can enable us to offer better customer experience

Streaming analytics is emerging as a hot topic. Infosphere Streams is a very mature product in this category

Data Lake enables us to analyze all kind of data in all states