We are excited to be guiding another organization on their Data Product journey using our Data Product Pyramid process! ๐
Too often, data initiatives get bogged down in infrastructure, governance debates, or endless data modeling exercises before proving real business value.
Thatโs why we take a business-first, use-case-driven approachโdelivering end-to-end business-oriented data products that solve real problems fast and evolve with the business.
How We Approach Data Product Success
1๏ธโฃ Use Case-Driven from Day One
We start with a well-defined business problem, ensuring every data product has a clear purpose, stakeholder buy-in, and measurable impact.
2๏ธโฃ Top-to-Bottom Vertical Slices
Rather than boiling the ocean, we build vertical slices of fully functional data productsโfrom ingestion to insightsโaligned to a business use case.This ensures:
โ๏ธ Fast iteration
โ๏ธ Quick validation
โ๏ธ Tangible business impact early
3๏ธโฃ A Business-Facing Data Product Operating Model
We customize our Data Product Pyramid approach to fit the organizationโs structure, ensuring data products are:
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Composable โ Can be reused across the business
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Autonomous โ Owned by domains, not buried in central IT
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Governed โ Clear SLAs, quality standards, and access controls
4๏ธโฃ A Living Knowledge Base, Not Just Isolated Data
Data only has value in the context of business processesโso we go beyond just creating data assets.We build business-facing Knowledge Bases, where:
๐น Every data product is tied to a business workflow
๐น Data lives in the flow of business operations, not in silos
๐น Insights are captured where they create value, not locked away in reports
The Outcome?
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Faster time to value โ No waiting months to see impact
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Scalable and repeatable data products โ Built for reuse, not one-offs
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Business-led data strategy โ Focused on outcomes, not just assets
Weโre helping organizations make their data work for the businessโnot the other way around.
Want to explore how the Data Product Pyramid can work for your organization? Get in touch with us and read here.
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