Jamie Knowles

Jamie Knowles, Product Director for ER/Studio with decades in data modeling and architecture, explains why meaning should drive designs. He talks about building shared semantic models, avoiding schema sprawl, and evolving architecture alongside delivery. He also covers governance, practical modeling techniques, and the double-edged role of generative AI in drafting models without human-approved ontologies.

Jamie Knowles, Product Director at ER Studio and expert in data architecture, joins the discussion to unravel the complexities of Data Product Delivery. He explains how data analytics is moving toward business-centric data products, emphasizing their benefits like reusability and better governance. Knowles highlights the shift from chaotic data environments to structured quality data products, stressing the importance of early governance principles in development. He also emphasizes breaking down silos and fostering collaboration for effective delivery.

Jamie Knowles, Product Director at ER/Studio, dives into the intricate links between data governance and architecture. He shares his journey from engineering to his current role, illustrating this synergy with a case study on UK police forces. Knowles emphasizes the need for skilled data architects to enhance governance and interoperability, while also tackling the challenges of data wrangling faced by analytics teams. Lastly, he highlights the importance of data products and collaboration between teams in driving business success.