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3 I’s that describe Big Data

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We recently had a follower tweet at us that their engineering customers didn’t want to buy into the idea of customer data.  There’s something overwhelming about wading knee-deep in all this information knowing you should be doing something with it, but what, why, how?

A recent Forbes article from earlier this week broke it down into 3 I’s:

1) Immediate – time to do something about it now
2) Intimidating – what if you don’t?
3) Ill-defined – what is it anyway?

You can’t stop the flow of data, you can only find ways to process it and turn it into insights that steer you towards the right actions. Technological advances are allowing organizations to analyze data more efficiently so they can drill down to specific events/actions and develop segmented profiles of their user base. Being able to reduce the time between data is collected and when insights are formed to make it actionable is really the main purpose for big data. “The analytic value of data decays rapidly,” says J Andrew Rogers, founder and CTO of Space Curve, therefore it’s important to analyze your data and know what to do with it as fast as possible to gain a competitive advantage. It’s not a battle of who has the biggest data, but rather who knows how to use it best.


Guy Nirpaz

Guy Nirpaz is a Silicon Valley-based Israeli entrepreneur and CEO of Totango, a Customer Success software platform. A pioneer in the Customer Success field, Guy established the Customer Success Summit and is a well-regarded industry speaker and community contributor. Guy loves people and technology and has dedicated his career to improving the way in which business is done through innovation. Fun Facts: Guy moonlights as the lead guitarist in a rock band based out of his garage in Palo Alto and used to command a tank well as having grown oranges.

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