Today, organizations are investing heavily to capture and store as much data as possible. But their bigger challenge is to extract valuable information from the data while it’s still in motion, as close as possible to the occurrence of the event. If you wait to analyze data after it’s stored, it takes too long to react. That could mean missing a new business opportunity or losing out to a competitor. To take full advantage of data streams in the IoT, organizations must understand the exploding number of ways “big” IoT data needs to be filtered, mashed up, compared, contrasted, interpolated and extrapolated.