What Is DataOps?
Enterprises have always taken decisions based on data. In recent years, however, the extent to which data and analytics is embedded in the decision-making process has accelerated as enterprises have recognized that successfully converting data into business insight can be a differentiator that delivers competitive advantages resulting in enhanced agility, operational efficiencies and new revenue streams.
Converting data into insight is easier said than done, especially when using tools and approaches that were designed to serve monolithic analytics projects based on traditional development approaches. These traditional tools and approaches are unsuitable for delivering the agility and responsiveness required by all enterprises if they are to become digital businesses and respond to – if not anticipate and preempt – changing business requirements.
The term DataOps was coined in 2015 to describe the need for more agile approaches to data management required for enterprises to realize the potential benefits of becoming more datadriven. The use of both the term and the concept has grown since then, as has the understanding of its ability to deliver benefits related to operational agility, analytics and governance.