It’s time to believe the hype, every digital transformation needs a data transformation. Our world has been disrupted by the Coronavirus, and this has introduced a new urgency to reduce costs as well as discover and build digital revenue streams. The difference between thriving and surviving now hinges on our ability to make data actionable to more than a few technical “a-listers”.
The winners in this new race are working fewer weekends, and investing in modern data platforms that enable real-time decision-making.
If modern data platforms are the key to every digital transformation, why do so many data projects fail to meet objectives? How many projects have we witnessed never make it to production, or worse yet, make it and crash and burn? Most estimates record data project failure rates as high as 87%*, because teams are up against the following challenges:*Venturebeat, 2019
DataOps practices are designed to: