{"id":9673,"date":"2025-12-07T21:07:11","date_gmt":"2025-12-07T21:07:11","guid":{"rendered":"https:\/\/i-spark.nl\/?page_id=9673"},"modified":"2026-01-27T11:03:09","modified_gmt":"2026-01-27T11:03:09","slug":"data-product-design","status":"publish","type":"page","link":"https:\/\/i-spark.nl\/en\/expertise\/data-product-design\/","title":{"rendered":"Data Product Design"},"content":{"rendered":"\t\t
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Data Product Design<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Turn business questions into data products that stay consistent.<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Data Product Design shapes the meaning, logic and relationships behind your data. It creates the models and structures that help your team understand information clearly and use it confidently across analytics, AI and operations.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Data Product Design helps shape data in a way that is logical, meaningful, future-proof, and usable.

\n\n- Tamara de Heij
\nData Product Lead
& Founder of i-spark\n<\/i><\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\"De<\/figure><\/div>
\"Minno<\/figure><\/div>
\"Simplicate<\/figure><\/div>
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What a Data Product Design expertise brings to your organization<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Data Product Design sits between business language and technical reality.
It examines how your describe work, how you interpret the same concept in different contexts and how decisions flow through processes, products and data.<\/p>

From this understanding, it shapes the structure behind your information. It also determines which logic belongs where.<\/p>

This expertise anticipates how definitions might evolve, how domains might intersect and how choices made now will influence future products, systems and analytical work.<\/p>

With strong Data Product Design, your data becomes easier to understand, maintain and extend.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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What could you gain? <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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A foundation that gives your data clarity, consistency and long-term structure.<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tUnified view of your business\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t

\n\t\t\t\t\t\tClear definitions for entities, relationships and boundaries that reflect how your team actually works.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tData outputs designed with purpose\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t

\n\t\t\t\t\t\tProducts built on meaning and logic, aligned with the business questions you need to answer.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tStable semantics\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t

\n\t\t\t\t\t\tConsistent definitions that reduce misinterpretation and keep metrics aligned across reporting, AI and operations.\n\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tClarity and shared logic \t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t

\n\t\t\t\t\t\tWell-reasoned decisions on whether transformations live in source systems, models, semantic layers or product logic.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tReusable models and structures\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t

\n\t\t\t\t\t\tData products that evolve easily, reduce duplication of logic and create efficiency across development cycles.\n\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tA data foundation ready for AI \t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t

\n\t\t\t\t\t\tClear semantics and structured meanings that support advanced use cases without rework.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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What working together
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You will work directly with our founder<\/strong>, who leads our Data Product Design expertise with a deep understanding of business logic and data. We explores how your team describe their work, how concepts are interpreted and which questions your data needs to support.<\/p>

Through this process, we shape the meaning behind your data. We design conceptual models, determine where logic belongs in the pipeline and evaluate the long-term impact of decisions.\u00a0<\/p>

Your team gains a coherent structure that brings clarity, consistency and confidence to your data products.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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The main role supporting your Data Product Design<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tData Product Lead\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t

\n\t\t\t\t\t\tA Data Product Lead shapes the logic and semantics behind your data products. They translate business questions into conceptual models, determine the meaning of data and design structures that support dashboards, analyses, AI agents and operational processes. \n\n

They consider where logic belongs in the pipeline, the impact of different design choices and how to maintain coherence across departments. Their work requires data experience and an understanding of long-term consequences, guiding your company toward data products that make sense and stay consistent.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\n\t\t\t\t\tFirst phase<\/span>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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You gain clarity on how your business' core concepts and how these ideas appear in your data.<\/h4>

i-spark guides you through understanding the entities and relationships that define your work. You also uncover which questions your data must support and which metrics need stronger semantic clarity. \n\n

This gives you a clear view of the structure that will help your organisation grow with confidence.<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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In the phase 2, this understanding is transformed into a coherent set of data products and semantic models. <\/h4>

We work through the meaning behind each concept and the logic it needs to carry. This includes choosing where transformations should sit, how definitions hold up and which modelling decisions will remain stable.

\n\nWhat you receive is a set of data products created with by clarity around meaning, behaviour and long-term impact.<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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We\u2019re here to answer all your questions<\/b>\n\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Questions we often hear about Data Product Design<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\tWhat is Data Product Design?<\/a>\n\t\t\t\t\t<\/h6>\n\n\t\t\t\t\t

Data Product Design creates the structure and meaning behind your data. It turns business questions into well-defined concepts, relationships and semantics, and shapes the logic that sits inside your data products. This gives you a clear and consistent foundation for dashboards, analyses, AI agents and operational processes.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t