In Episode 11, of Season 5 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Darren Wood, Data Product Leader at BBC, and they talk about the benefits of Data Product Management, in which they talk about:
- The helpfulness and collaborative nature of the data community
- How the BBC is advancing digitalisation and personalisation
- Understanding the user journey through touchpoints and insights
- Why data products are about structuring data and extracting value
- The key role of organisational understanding in maximising data product value
- The three critical stages in the data product lifecycle
- The four phases that follow the creation of a data product are introduction, growth, maturity, and decline
- The challenge for data product managers in pre-empting decline and making tough decisions
- Why speed to value is critical in data product success
- The key differences between data teams and product teams
- Why a roadmap is essential for prioritisation and decision-making
- How splitting a roadmap into reactive, proactive, and strategic elements enhances focus
- How understanding value can help quantify business impact
- Why adopting a business mindset means treating colleagues as customers
- The importance of ‘eating your own dog food’ in data product teams
- Why treating the data team as a mini business changes how they operate
- The four phases of an effective discovery process: discovery, definition, development, and delivery
- The key difference between data product management and traditional product management—why MVPs in data often don’t reach end users before they are fully functional
- The ongoing debate between domain-oriented, centralised, and decentralised approaches
- The varying responsibilities of a data product team, and why alignment with business value is key
- Why stepping into a data product manager role requires conscious awareness of its challenges and opportunities
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Driven by Data: The Podcast