Sprint Toward Data-Driven Culture Using DataOps
“Culture eats strategy for breakfast.” - Peter Druker
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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.
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Onsite Workshops offer an easy way to accelerate your project. If you are unable to do the project yourself, and a Guided Implementation isn’t enough, we offer low-cost onsite delivery of our Project Workshops. We take you through every phase of your project and ensure that you have a road map in place to complete your project successfully.
Book NowModule 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: | |
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1.1 | Explain DataOps approach and value proposition. |
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1.2 | Review the common business drivers and how the organization is driving a need for DataOps. |
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1.3 | Understand Info-Tech’s DataOps Framework. |
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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: | |
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2.1 | Assess current state. |
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2.2 | Develop target state summary. |
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2.3 | Define DataOps improvement initiatives. |
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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: | |
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3.1 | Continue DataOps improvement initiatives. |
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3.2 | Document the improvement initiatives. |
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3.3 | Develop a roadmap for DataOps practice. |
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Module 4: Plan for Continuous Improvement
The Purpose
Define a plan for continuous improvements.
Key Benefits Achieved
Continue to improve DataOps practice.
Activities: | Outputs: | |
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4.1 | Create target cross-functional team structures. |
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4.2 | Define DataOps metrics for continuous monitoring. |
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4.3 | Create a communication plan. |
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