December 15, 2020
December 15, 2020
Contributor: Laurence Goasduff
DataOps techniques can provide a more agile and collaborative approach to building and managing data pipelines.
The pandemic has accelerated the need for data and analytics leaders to deliver data and analytics insight faster, with higher quality and resiliency in the face of constant change. Organizations need to make better-informed and faster decisions with a focus on automation, real-time risk assessment and mitigation, continuous value delivery and agility.
As a result, data and analytics leaders are increasingly applying DataOps techniques that provide a more agile and collaborative approach to building and managing data pipelines.
Gartner defines DataOps as a collaborative data management practice focused on improving the communication, integration and automation of data flows between data managers and data consumers across an organization.
“The point of DataOps is to change how people collaborate around data and how it is used in the organization,” says Ted Friedman, Distinguished VP Analyst, Gartner.
“Rather than simply throwing data over the virtual wall, where it becomes someone else’s problem, the development of data pipelines and products becomes a collaborative exercise with a shared understanding of the value proposition.”
To implement DataOps successfully, data and analytics leaders must align DataOps with how data is consumed, rather than how it is created in their organization.
If those leaders adapt DataOps to three core value propositions, they will derive maximum value from data.
The question you may have is, “Which type of DataOps value proposition is most relevant for my organization?” There is no single answer. Every business will have all three, either in a centralized or decentralized deployment model.
Delivering DataOps using each value proposition will foster collaboration between stakeholders and data implementers delivering the right value proposition with the right data at the right time.
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Recommended resources for Gartner clients*:
3 Ways to Deliver Customer Value Faster Using DataOps
*Note that some documents may not be available to all Gartner clients.