Current thinking, practical guidance and implementation perspectives across Data Engineering, Artificial Intelligence, Digital Marketing and the industries we serve.
When two dashboards disagree, “Where did this number come from?” should be answerable without a week of detective work. Data lineage is the record of that journey, from original system through transformations to the report people…
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Access control becomes fragile when permissions are copied from person to person. After several job changes, nobody knows why a former project member can…
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An ERP knows invoices and stock, a CRM knows accounts and interactions, and a commerce platform knows carts and orders. Bringing their tables into…
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“We need real time” often means “We need this information sooner.” Those are different requirements. A pipeline that updates every few minutes may solve…
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Architecture conversations become unhelpful when the answer is chosen before the workload is understood. A warehouse, a lake and a lakehouse all store data,…
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Data programs often start with a long list of dashboards and end with no agreement on whether the business got better. The gap is…
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Data maturity is sometimes presented as a score out of five. A single score is convenient, but it can hide the difference between a…
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The first question in an AI meeting is often, “Which model should we use?” A more useful question is, “Which decision are we trying…
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A business leader does not need to inspect every DAX expression to review a Power BI dashboard. They do need to know whether the…
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Self-service BI promises speed: a team can explore without waiting for every chart to enter a central queue. The trouble starts when each department…
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