#283 Selling Data Mesh to Your C-Suite and Board - Mesh Musing 58
Jan 5, 2024
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Mesh Musing, a guest on data mesh, discusses the strategy of introducing data mesh to non-technical stakeholders. They emphasize aligning data work with business goals and the advantages of being early adopters. The podcast also explores the role of data collection and analysis in making informed business decisions. It emphasizes the importance of using data to stay competitive in the market and the need for a strong foundation in data-driven decision making.
To sell DataMesh to the C-suite and board, emphasize how it improves the business, aligns with strategy, and drives better decision-making.
By shifting the focus from being data-driven to being data-informed, DataMesh empowers executives with quality data for day-to-day execution decisions.
Deep dives
The importance of focusing on business strategy and outcomes
To sell the concept of DataMesh to the C-suite and board, it is crucial to emphasize that DataMesh is about improving the business, not just about data itself. This means aligning data initiatives with the overall business goals and strategy. Executives are more interested in the why and the high-level picture of what DataMesh can achieve, rather than the technical details. By highlighting how better data insights can drive better decision-making and execution, they can be convinced of the value of DataMesh.
Moving from being data-driven to being data-informed
A key aspect of promoting DataMesh is shifting the focus from being data-driven to being data-informed. This means empowering executives and decision-makers with quality data that they can trust and rely on to make informed decisions. Data should not only be seen as useful for strategic decisions, but also for day-to-day execution decisions. By emphasizing this shift, and showcasing examples of how other companies have successfully adopted DataMesh principles, executives can understand how DataMesh can make them more effective and agile in a competitive market.
The need for strong data foundations and continuous improvement
Implementing DataMesh requires a strong foundation of well-managed and high-quality data. This involves establishing clear data ownership and accountability, as well as implementing robust data collection and cleaning processes. Building these capabilities takes time and effort, but it is essential for organizations to quickly respond to market changes and experiment with new strategies. By continuously improving data practices and reducing the time it takes to conduct experiments, organizations can make smarter and smaller bets, react swiftly to market shifts, and ultimately drive better business outcomes.
Talk to the business strategy importance - data is there to make things better for the business. What could being better informed mean for your execs?
When people ask about the strategy, that is when you can mention data mesh. It isn't about doing data mesh but you also aren't inventing this whole-cloth. 100s to 1000s of organizations are already on the journey. But data mesh is not some magic phrase, it is merely a framing for doing data better at scale.
Think of the first hidden data demon from my upcoming mini-book: this is about getting to data driven, not being data dragged. This is about better equipping the people you thought were good enough to hire for their expertise and making them even better.
Think of the second hidden data demon: data isn't only about strategic decisions - this gets us into a place where we can make better day-to-day execution decisions too.
We don't get to skip leg day. I originally typed 'leg data' and maybe that's what we call the foundations đ
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