DataOps, a methodology that applies Agile software development, DevOps, and statistical process controls to data analytics, is transforming organisations worldwide. It’s a set of practices and technologies that allow data teams to deliver business value faster and with higher quality. Gartner predicts that by 2023, DataOps will be mainstream in 75% of enterprises, up from less than 5% in 2019.
DataOps is not just about technology, but also about culture and processes. It encourages a shift in mindset from data as a byproduct to data as a product. This means treating data as a strategic asset and managing it as such, leading to improved data quality, faster time to insights, and more informed decision-making.
DataOps requires a team effort, involving data engineers, data scientists, business users, and others. It facilitates collaboration and communication between these different roles, breaking down silos and fostering a more integrated approach to data management. This, in turn, leads to more efficient and effective use of data, driving business value and competitive advantage.
While DataOps is still a relatively new concept, it’s gaining traction rapidly. As more organisations recognise the value of data and the need for more effective data management, the adoption of DataOps is set to skyrocket.
Go to source article: http://www.zdnet.com/article/dataops-changing-the-world-one-organization-at-a-time/