DataOps Methodology

DataOps is defined by Gartner as "a collaborative data management practice focused on improving the communication, integration and automation of data flows between data managers and consumers across an organization. Much like DevOps, DataOps is not a rigid dogma, but a principles-based practice influencing how data can be provided and updated to meet the need of the organization’s data consumers.” The DataOps Methodology is designed to enable an organization to utilize a repeatable process to b

• Understand process to establish repeatable and rigorous data workflows
• Articulate business value of data sprints by capturing relevant KPIs
• Enable continuous design, delivery, and validation of new data demands