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-evolving
The confusion between operating models and team structures
Why people are the most important part of your operating model
Why 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 OKRs
Why 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-case
Balancing 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

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