• signifydata

Fixing small problems with big data

Updated: May 20

People often think big-data tools apply to ‘glamorous problems’ related to big picture strategy. At Signify we believe that big data technology works really well for ‘smaller problems’.

Here is a real life example.

Modern cars run on software and testing them is difficult and time consuming. Hundreds of GB of log data and videos are generated after each test drive. Testing teams spend hours manually processing log files, and cutting videos before creating tickets for development teams.

This can take more than 2 hours per ticket.

Additionally, developers spend more time manually searching through log data to find the problems. With hundreds of tickets per car, this ‘small’ problem becomes a monster that will gladly eat all the manpower you throw at it.

Chunks can reduce the time per ticket from 2 hours down to a few seconds.

How does your company deal with such problems?

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