#294 Panel: Product Discovery and Data Discoverability in a Data Mesh World - Led by Ecem Biyik w/ Frannie Helforoush, Marta Debska-Barcinska, and Ole Olesen-Bagneux
Feb 26, 2024
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Panelists discuss product discovery and data discoverability in a Data Mesh world, highlighting the importance of partnerships, user experience, and stable data architecture. They explore challenges in data product discovery, emphasize continuous engagement, and share insights on creating valuable data products through innovative approaches.
Continuous feedback loops with consumers are essential for understanding evolving needs and ensuring data products meet requirements.
Implementing a product mindset in data product teams helps understand consumer needs, iterate on solutions, and deliver valuable products.
Establishing metrics to measure financial impact, value, and data product usage is key for evaluating effectiveness and driving continuous improvement.
Deep dives
Continuous Collaboration Between Data Producers and Consumers
Continuously engaging in feedback loops and ongoing discovery sessions with consumers is crucial for understanding their evolving needs and ensuring data products meet their requirements. Building lasting relationships and iterating on feedback helps in creating reusable data products that add value across different teams and use cases.
Fostering a Product Mindset in Data Product Development
Emphasizing a product mindset within data product teams is essential for understanding consumer needs, iterating on data product solutions, and ensuring the delivery of valuable and reusable products. Aligning with consumer needs through continuous discovery and implementing a product-oriented approach facilitates successful data product development.
Measuring the Value and Impact of Data Products
Establishing success metrics and key performance indicators to measure the financial impact, value generated, and usage of data products is crucial for evaluating their effectiveness and identifying areas for improvement. Understanding the value data products bring to the organization and sharing this information with producers and consumers helps in fostering collaboration and driving continuous improvement.
Enhancing Data Discoverability and Product Adoption
Improving data discoverability through stable metadata architectures, consumer-focused collaboration, and technology solutions enhances the adoption and utilization of data products. Building data catalogs with strong search capabilities, stable architectures, and synchronized metadata structures fosters efficient data discoverability and promotes effective data product adoption.
Uncovering the Potential of Data Mesh and Product Thinking
Exploring the intersections of data mesh philosophy and product thinking principles offers insights into creating valuable, reusable, and consumer-centric data products. Emphasizing continuous discovery, collaboration, and feedback loops between data producers and consumers, along with fostering a product-oriented approach, can drive innovation and success in data product development.
Conclusion
The panel discussion on data product discovery highlighted the importance of continuous collaboration, fostering a product mindset, measuring the value of data products, enhancing data discoverability, and leveraging data mesh principles. Emphasizing ongoing feedback, iteration, and consumer-centric approaches are critical in developing successful, reusable, and valuable data products that meet evolving business needs and drive organizational growth.
Transcript for this episode (link) provided by Starburst. You can download their Data Products for Dummies e-book (info-gated) here and their Data Mesh for Dummies e-book (info gated) here.
