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By 2023, data literacy will become an explicit and necessary driver of business value, demonstrated by its formal inclusion in over 80% of data and analytics strategies and change management programs (Source Gartner).
A new age of data-driven technologies are defining the course for modern business initiatives. Research and investment into data has become the new normal.
If we fast track and imagine the next decade, it will be dominated by a mesh of digital products and services tightly integrated. As we scale up investments in this direction, organizations realize that investment into acquiring data would not lead them to the right outcomes, there is a need to focus on multi-step strategy, embrace a new operational framework for a data-driven economy.
Let’s further explore the strategy and roadmap to guide our actions towards DataOps – what it is, where it fits in the emerging ops-mesh ( mlOps, modelOps, AIOps, xOps, and more ), how different it is from DevOps, what we learn together with DevOps, and how and who steers DataOps.