Data teams struggle in many areas including a quick and iterative approach for converting an analytics/algorithm into a production-ready reusable and integrated software. Data teams do not have a mechanism to integrate with operations teams and operate in a silo. Data and Analytics teams need a clear mechanism to separate data exploratory work and repetitive data insights generation. Lack of such separation is the main cause of significant delays, inefficiencies, and frustration for data initiatives. Access to data and exploratory data analytics is critical. However, the organization must learn to share insights and reuse analytics. Once analytics finds wider use in the organization. they need to adopt a disciplined approach to ensure its quality and continuous integration in the production environment.

This blueprint will help you use a metrics-driven approach and common framework across silos to enable rapid development of data initiative using agile principles.

Implement approach that allows business, data, and operation teams to collaboratively work together to provide a better customer experience.

Align DataOps to overall data management and governance program that promotes collaboration, transparency, and empathy across teams establishes the appropriate roles and responsibilities and ensures alignment to a common set of goals.

Assess the current maturity of the data operations teams and implementation roadmap that considers the necessary competencies and capabilities, and their dependencies in moving towards the desired DataOps target state.

Also In

Sprint Toward Data-Driven Culture Using DataOps

“Culture eats strategy for breakfast.” - Peter Druker

Related Content

Social

Get Access

Get Instant Access
To unlock the full content, please fill out our simple form and receive instant access.
Visit our COVID-19 Resource Center and our Cost Management Center
Over 100 analysts waiting to take your call right now: 1-519-432-3550 x2019