A data boom is enveloping the business world. As information piles up, companies are scrambling to understand DataOps processes, and how these can be used for optimal management and maximised value.
DataOps is a methodology designed to streamline data analytics processes, improving quality and easing data flows throughout an organisation.
A cultural shift is required for DataOps to succeed in a business, for which companies need to make considered changes internally. DataOps must be adopted as an ongoing process that triggers transformation by improving both data quality and data management.
In the current climate, a lot of organisations need to improve their data collaboration processes and how they use the information they hold. Developing pipelines and systems should be a combined workforce task, with a company-wide consciousness of the value of data. As with all change, it must be generated from the top-down. There are five key steps that C-suite professionals can take towards DataOps success.
Accepting DataOps as a perpetual motion
A business’s leadership needs to begin by deconstructing its entire existing system of data analytics. For DataOps to thrive, it must be implemented via a complete restructure. Culturally, the entire organisation must accept the use of data to drive business decisions. The structure of the company must embrace information-induced change and be open to ongoing flexibility.
Slow adoption is the number one obstruction. Poor implementation and distribution of data leads to a fragmented and disjointed approach to reporting across an organisation.
Success relies on a complete cross-organisational and long-term commitment to the DataOps methodology. Regarding DataOps as an ongoing process – a constant conveyor belt on which teams can send questions down and keep up with – is the cornerstone of successful implementation.
Information should be central to decision-making. From staff who use data, to dedicated analysts and data managers, the mindset of data-driven business