The Data Radio Show - Bought to you by the Data Innovators Exchange

10 Ways data modelling can go wrong


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As we start to gear up for 2025, we thought now was a great time to revisit some of our most popular content from 2024 in a new light.

Over the next couple of weeks, we’re presenting these Notebook LM produced Podcast episodes on our most popular DataPro Newsletter topics.

This article from datapro.news discusses common pitfalls in data modelling. It outlines three key data modelling stages—conceptual, logical, and physical—explaining their purpose and how errors at each stage, such as insufficient stakeholder involvement or unclear definitions, can negatively impact projects. The article highlights ten specific mistakes, detailing their consequences and offering advice on avoiding them. The author emphasises the importance of a thorough conceptual phase before progressing to more detailed stages and advocates for iterative design. Ultimately, the article stresses the importance of careful planning and communication for successful data modelling.

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The Data Radio Show - Bought to you by the Data Innovators ExchangeBy Paul Barlow