DataKitchen DataOps Transformation Advisory Service Debuts
launched a new advisory service focused on helping customers achieve an
enterprise DataOps transformation. As DataOps has become more widely adopted
across just about every industry, many organizations struggle with how exactly
to deploy the processes and principles of this methodology. Recognizing the
challenge facing enterprise organizations, DataKitchen’s Transformation Advisory
Service leverages its industry-leading DataOps expertise and provides customers
with the critical capabilities needed to launch a successful and sustainable
Services include the following.
Technical DataOps Services - DataKitchen assesses the technical architecture of an Enterprise Data Platform and recommends a path to an enterprise-wide deployment of DataOps.
Maturity Model Assessment - DataKitchen applies its proprietary Maturity Model framework to assess an organization’s current DataOps capabilities and create an actionable framework for improvement.
DataOps Dojo - Modeled after the DevOps Training Dojo concept, DataKitchen establishes an organization’s DataOps Dojo and provides ongoing support.
DataOps Reporting and Metrics Development - DataKitchen develops a 360-degree view of team and project productivity metrics (e.g., errors, test coverage, deployment speed/frequency, collaboration
Agile Team Training - DataKitchen’s experts teach data science and analytic teams how to apply Agile processes in order to deliver high-quality business value quickly.
“Many companies know that DataOps provides the foundation for analytic excellence, but struggle when it comes to designing and executing a DataOps plan. Our software is an important piece of the puzzle because it automates all the critical elements of a DataOps program – orchestration, testing, environment creation and management, and deployment,” said Chris Bergh, Founder and CEO at DataKitchen. “However, some companies desire more strategic and technical support. Our new Transformation Advisory Service helps them to quickly and effectively stand up the other important elements of a DataOps program – people and processes – to ensure DataOps success.”