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Sprint Toward Data-Driven Culture Using DataOps

“Culture eats strategy for breakfast.” - Peter Drucker

  • Data teams do not have a mechanism to integrate with operations teams and operate in a silo.
  • Significant delays in the operationalization of analytical/algorithms due to lack of standards and a clear path to production.
  • Raw data is shared with end users and data scientists due to poor management of data, resulting in more time spent on integration and less on insight generation and analytics.

Our Advice

Critical Insight

  • 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.

Impact and Result

  • Use a metrics-driven approach and common framework across silos to enable the rapid development of data initiatives using Agile principles.
  • Implement an approach that allows business, data, and operation teams to collaboratively work together to provide a better customer experience.
  • Align DataOps to an 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 implement a roadmap that considers the necessary competencies and capabilities and their dependencies in moving towards the desired DataOps target state.

Sprint Toward Data-Driven Culture Using DataOps Research & Tools

Start here – read the Executive Brief

Read our concise Executive Brief to understand the operational challenges associated with productizing the organization's data-related initiative. Review Info-Tech’s methodology for enabling the improved practice to operationalize data analytics and how we will support you in creating an agile data environment.

1. Discover benefits of DataOps

Understand the benefits of DataOps and why organizations are looking to establish agile principles in their data practice, the challenges associated with doing so, and what the new DataOps strategy needs to be successful.

2. Assess your data practice for DataOps

Analyze DataOps using Info-Tech’s DataOps use case framework, to help you identify the gaps in your data practices that need to be matured to truly realize DataOps benefits including data integration, data security, data quality, data engineering, and data science.

3. Mature your DataOps practice

Mature your data practice by putting in the right people in the right roles and establishing DataOps metrics, communication plan, DataOps best practices, and data principles.

Member Testimonials

After each Info-Tech experience, we ask our members to quantify the real-time savings, monetary impact, and project improvements our research helped them achieve. See our top member experiences for this blueprint and what our clients have to say.


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About Info-Tech

Info-Tech Research Group is the world’s fastest-growing information technology research and advisory company, proudly serving over 30,000 IT professionals.

We produce unbiased and highly relevant research to help CIOs and IT leaders make strategic, timely, and well-informed decisions. We partner closely with IT teams to provide everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.


Overall Impact

Average $ Saved

Average Days Saved

After each Info-Tech experience, we ask our members to quantify the real-time savings, monetary impact, and project improvements our research helped them achieve.

Read what our members are saying

What Is a Blueprint?

A blueprint is designed to be a roadmap, containing a methodology and the tools and templates you need to solve your IT problems.

Each blueprint can be accompanied by a Guided Implementation that provides you access to our world-class analysts to help you get through the project.

Need Extra Help?
Speak With An Analyst

Get the help you need in this 3-phase advisory process. You'll receive 8 touchpoints with our researchers, all included in your membership.

Guided Implementation 1: Discover benefits of DataOps
  • Call 1: Learn about the concepts of DataOps and the common use cases.
  • Call 2: Understand what drives the business to improve data operations.

Guided Implementation 2: Assess your data practice for DataOps
  • Call 1: Determine the technical requirements for the integration solution.
  • Call 2: Recognize the gaps your organization must overcome to effectively implement your DataOps initiative.
  • Call 3: Create an actionable roadmap to mature DataOps within your organization.

Guided Implementation 3: Mature your DataOps practice
  • Call 1: Define DataOps teams, roles, and responsibilities.
  • Call 2: Establish metrics to measure your data initiatives performance.
  • Call 3: Create a communication plan to share next steps.


Rajesh Parab


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