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Driven by Data: The PodcastDesigned for Data Enthusiasts to hear from the Data & Analytics industry's thought leaders Author: Orbition Group
Orbition Group is delighted to bring you this podcast series, which is designed for Data Enthusiasts, to hear from some of the most high-profile Data, Analytics and AI thought leaders from around the globe. Each episode will detail the guests journey to the top while bringing unique insights, drawn from first-hand experience on the industrys most trending topics. This podcast was created as a way for our industry's most respected leadership figures from across the world to give back to the Data & Analytics community, by sharing; knowledge, experiences and ideas, to inspire, innovate and provide real-life use cases on the industries most pressing topics/challenges. Language: en Genres: News, Tech News, Technology Contact email: Get it Feed URL: Get it iTunes ID: Get it Trailer: |
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S4 | Ep 28 | Designing and Implementing the Correct Data Operating Model with Pete Youngs, Managing Partner at Ortecha
Episode 28
Monday, 13 May, 2024
In Episode 28, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Pete Youngs, Managing Partner at Ortecha, where they discuss the key considerations of designing and implementing the correct data operating model and its importance in data and analytics success, which includes;Why a data operating model is more important than your data strategy The day-to-day chaos of living without an operating model The relationship between D&A enablement and your operating model Defining the MVP data operating model Data operating models in the absence of data strategies Why your operating model should be ever-evolvingThe confusion between operating models and team structures Why people are the most important part of your operating modelWhy your data operating model can’t conflict with the business operating model Trends around centralised versus decentralised structures The relationship between team structure cycles and the tenure of the CDO The importance of defining role profiles and managing with OKRsWhy size and scale are important factors in defining the best data operating model Why many data operating models are created by data governance or strategy teams The relationship between data operating models and delivering value The importance of a value-driven mindset and having a value-caseBalancing value realisation while building your data operating model Why not enough focus or time is put into successful implementation and adoption Why most CEOs would be shocked if they knew how much it actually costs to do it properly Why your data operating model needs to be rolled out iteratively across the organisation The symptoms of a successful data operating model and measuring success Why data products have changed the way data operating models work Why lack of adoption is often due to a lack of process The importance of selecting the right partners The top four pieces of advice to create the right data operating model The relationship between data operating model and data culture
