Why BI Dashboards Fail and How to Design Them for Decisions
A dashboard can be polished and still fail. The most common failure is not an unattractive chart; it is a meeting in which everyone…
Read articleCurrent thinking, practical guidance and implementation perspectives across Data Engineering, Artificial Intelligence, Digital Marketing and the industries we serve.
A dashboard can be polished and still fail. The most common failure is not an unattractive chart; it is a meeting in which everyone…
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Customer and patient records can be valuable for improving service, but the same detail that makes them useful also makes careless access harmful. Privacy…
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Dynamic pricing promises to respond to demand, stock and competition. Without guardrails, it can also create confusing changes, erode margin or damage customer trust.
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A single “best estimate” can be dangerous in a supply chain. A supplier delay, demand spike or transport disruption may each require a different…
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A forecast tells a planner what may happen. Optimization suggests what to do under constraints. Treating those as the same thing is a common…
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A support bot can answer an order-status question quickly. It should also recognize the moment a customer needs a person: a complex complaint, contradictory…
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Invoices, claims and onboarding forms seem ready for automation because people repeat the same data entry. The apparent similarity hides difficult cases: unreadable scans,…
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RPA is useful when a process follows stable rules in predictable interfaces. Intelligent automation can handle more variation, such as classifying a document or…
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Churn, fraud and machine failure are very different problems. They share an early-warning pattern: detect a meaningful change soon enough that a person can…
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