5 Key Steps to Implementing a Successful DataOps Practice

The rapid growth in data volumes has led to rapid growth of data silos that are cumbersome and inefficient. To get the full value out of your data, you need to shift your data management strategies to be more collaborative, unified and automated. You need to adopt a true Data Operations, or DataOps, strategy. DataOps is a new term for a practice that has been used in a similar form for some time. DataOps is key factor in successful digital transformation that requires both technological and cultural change to seamlessly connect data consumers and creators to consistently extract value from all types of data. This allows companies to innovate faster by increasing the speed of delivering analytics, improving data governance and fuels operational agility.