Introduction

In a recent episode of the Data Engineering Podcast, data strategist and author Lior Barak shed light on an innovative approach to crafting a robust data product strategy. Barak, known for his insightful book "Data is Like a Plate of Hummus," emphasized the pivotal role of a data vision board in steering strategic planning within organizations.

The Challenge of Reactive Data Teams

He articulated a common scenario where data teams become an expensive afterthought in broader data-centric strategies. Often relegated to a reactive role, these teams focus on immediate priorities, measured by KPIs that center around short-term outputs. This short-sighted approach can lead to costly inefficiencies and a lack of demonstrated long-term return on investment. “Too often, we find ourselves mired in current problems,” Barak stated, pointing out that discussions frequently revolve around troubleshooting today’s issues rather than envisioning the future potential of data.

The Collaborative Roadmap

By advocating for a collaborative three-year roadmap, Barak aims to ensure teams advance in alignment and deliver significant, impactful capabilities. One key recommendation is to engage teams and stakeholders in a structured elicitation process using shared documents or Mural boards, where they can articulate their current needs, gaps, and concerns. This foundational analysis then guides the crafting of a long-term strategy that harnesses the power of data.

Gaëlle Seret's Approach

Enter Gaëlle Seret, group product owner at Decathlon Digital, who shared her method at a recent Paris Data Ladies meetup. She champions a “data as a product” mindset, treating internal teams— including data analysts and AI—as essential customers. Seret underscores the importance of frequent collaboration with diverse stakeholders, including data producers and consumers, to ensure the success of the data platform. The mantra of servant leadership is at the core of her strategy, pushing teams to not only support the success of others but to actively drive it.

Shared Vision and Common Taxonomy

Seret and Barak both stress the necessity of building alignment around a shared vision co-created with stakeholders. The importance of a common taxonomy is paramount; Seret exemplifies this by tackling vague terminologies. Her strategy begins with selecting a manageable product area, then engaging various experts to define clear terms. As she noted, “Your taxonomy needs to live with your company and evolve as you bring in more experts.”

Shifting Toward Long-Term Thinking

In their discussions, both experts urged a shift toward long-term thinking in data engineering. Barak highlighted the risks inherent in reactive planning, which often leads to mismatches in cost, impact, and urgency. He urged businesses to adopt success metrics driven by return on investment, ensuring that efforts focus on meaningful initiatives.

Conclusion

Do you want to future-proof your data strategy? This isn't just about avoiding chaos; it's about seizing the opportunity to transform organizational performance. From establishing metrics that define success to fostering a comprehensive understanding of what data can achieve, the call to arms is clear: businesses must evolve their approach to data engineering.

As Barak wisely noted, “The success metrics layer can change everything.” By reevaluating how we measure success, organizations can embrace imperfection, celebrate the journey, and ultimately chart a path that leads to unmatched innovation and growth.

The future of your data strategy awaits—are you ready to reshape it?