On today’s episode of Reporting Norms, host Norm sits down with Takashi Ueki, Head of Enterprise Data and Analytics at Elastic, for an in-depth conversation about data democratization, governance, and strategy. Takashi shares how he’s helped Elastic build a unified, governed data foundation - turning a tangled web of data sources into an asset that executives and frontline teams alike can trust. From implementing a DBT-driven data architecture supported by CI/CD pipelines to fostering a culture of transparency and aligning business stakeholders around a single source of truth, Takashi walks us through the challenges and best practices of operationalizing analytics at scale.

We dig into why a “pure” single source of truth is often aspirational, the critical role of context and metadata, and how to balance data quality with the needs of fast-moving business users. Takashi also unpacks the practicalities of building governance structures, managing data certification, and making data self-service plus, he shares his unique strategies for keeping teams aligned across sales, marketing, finance, and more. As the conversation ventures into GenAI and agentic AI applications, Takashi reminds us of the foundational importance of quality and context in any successful AI-enabled data strategy.

Whether you’re wrestling with data silos, charting your own data governance journey, or just looking for takeaways on scaling analytics in a modern enterprise, this episode is packed with actionable insights from someone who bridges the gap between technical rigor and business value. Stay tuned!

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