Sprint Toward Data-Driven Culture Using DataOps

“Culture eats strategy for breakfast.” - Peter Druker

Onsite Workshop

Organizations have a constant struggle with data.

  • Ninety percent of organizational data is “dark.”
  • Less than one-third of companies are able to deliver real-time data, despite over 50% needing it.
  • It takes six months to promote 20 lines of SQL code to production.
  • Hundreds of reports need to be retested due to underlining system changes.

Building a DataOps practice can:

  • Increase the speed of deployment.
  • Increase the ability to reproduce and fix defects.
  • Reduce defect cycle time.
  • Reduce challenges related to development and operations collaboration.

Module 1: Identify the Drivers of the Business for DataOps

The Purpose

Understand the DataOps approach and value proposition.

Key Benefits Achieved

A clear understanding of organization data priorities and metrics along with a simplified view of data using Info-Tech’s Onion framework.

Activities: Outputs:
1.1 Explain DataOps approach and value proposition.
1.2 Review the common business drivers and how the organization is driving a need for DataOps.
  • Organization's data priorities and metrics
1.3 Understand Info-Tech’s DataOps Framework.
  • Data Onion framework

Module 2: Assess DataOps Maturity in Your Organization

The Purpose

Assess the DataOps maturity of the organization.

Key Benefits Achieved

Define clear understanding of organization’s DataOps capabilities.

Activities: Outputs:
2.1 Assess current state.
  • Current state summary
2.2 Develop target state summary.
  • Target state summary
2.3 Define DataOps improvement initiatives.

Module 3: Develop Action Items and Roadmap to Establish DataOps

The Purpose

Establish clear action items and roadmap.

Key Benefits Achieved

Define clear and measurable roadmap to mature DataOps within the organization.

Activities: Outputs:
3.1 Continue DataOps improvement initiatives.
3.2 Document the improvement initiatives.
3.3 Develop a roadmap for DataOps practice.
  • DataOps initiatives roadmap

Module 4: Plan for Continuous Improvement

The Purpose

Define a plan for continuous improvements.

Key Benefits Achieved

Continue to improve DataOps practice.

Activities: Outputs:
4.1 Create target cross-functional team structures.
  • DataOps cross-functional team structure
4.2 Define DataOps metrics for continuous monitoring.
  • DataOps metrics
4.3 Create a communication plan.

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