Defining the data vision and strategy

In my previous posts, I covered the basics of building a data roadmap and assessing the current state of data in your organization. Now, let’s dive into defining your data vision and strategy, which will serve as the foundation for your data roadmap.

A. Setting data goals

To set the stage for your data roadmap, it’s crucial to establish clear, measurable, and achievable data goals. These goals should be aligned with your organization’s overall strategy and can be categorized into short-term and long-term objectives.

Data roadmap by datatunnel

Build a Data Roadmap Series
~ Part 3: Defining the data vision and strategy ~

1. Short-term goals – Identify the immediate improvements and enhancements your organization needs to make in its data processes and infrastructure. These goals should address pressing issues and lay the groundwork for long-term success.

2. Long-term goals – Develop a vision for your organization’s data capabilities, including how data will drive decision-making, create new opportunities, and support growth. These goals should be ambitious but attainable, and they should align with your organization’s strategic objectives.

B. Aligning data strategy with business objectives

Your data strategy should be closely aligned with your organization’s overall business strategy, ensuring that data initiatives and investments support the achievement of critical business goals. To achieve this alignment, you need to collaborate closely with business leaders and other stakeholders to understand their objectives, priorities, and challenges.

C. Prioritizing data initiatives

With a clear understanding of your organization’s data goals and business objectives, you can now prioritize the data initiatives that will help you achieve those goals. This involves evaluating each initiative based on factors such as potential impact, resource requirements, organizational readiness, and risk. By prioritizing data initiatives, you can ensure that your organization focuses its efforts on the projects that will deliver the most value.

Main tasks involved:

  • Identifying and prioritizing data initiatives
  • Collaborating with business leaders to align data and business strategies.
  • Establishing data goals and objectives

Roles involved: Data Strategist, Business Leaders, Data Analysts, Data Engineers, Data Stewards and Data Architects.

With your data vision and strategy defined, you’re well on your way to building a robust data roadmap for your organization. In my next blog post, I’ll discuss how to identify key data initiatives and projects that will drive your data roadmap. Keep following my blog to continue exploring the fascinating world of data strategy!


  1. Data Strategy: A Guide to Getting Started by Data-Ed Online: This comprehensive guide offers valuable insights on defining your data vision and strategy, including a step-by-step approach to creating a data strategy that aligns with your organization’s goals. URL:
  2. Tableau – “Developing a Modern Data Strategy”: Tableau offers a white paper that explores the key components of a modern data strategy, including data vision, data governance, and data culture. URL:
  3. Journey to Enterprise frameworks

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