Data shows that data-driven organizations perform better. But what does it take to get there?

When it comes to using data to drive business, organizations such as Google or Facebook are iconic. Although a lot can be said about their practices with regards to topics such as privacy, ownership, and governance, there’s no denying that they have been pioneering the field both in terms of technical approach as well as culture.

The people that helped build the technical substrate, and the data-driven culture upon which Facebook operates, call this combination DataOps. When they started in 2007, big data was not what it is today. All four Vs that define big data — volume, variety, velocity, and veracity — were at lower levels.

But perhaps more importantly, there was not much previous experience of working with big data and using it to drive decision making in organizations. At that time, the question was still out as to whether having all that data is useful. Today, the feeling is that the value of data has been proven, and it’s more of a question of how to get it.

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