Last updated: April 2026 Every organization has a data quality problem. The question is whether leadership knows about it, cares about it, and has committed to doing something about it. Most have not. Data quality improvement has historically been treated as an IT initiative — a technical cleanup project that lives in the infrastructure budget
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What does Measuring Information Confidence Mean to You? Last updated: April 2026 Every organization makes decisions under uncertainty. The question is not whether your data is perfect — it never is — but whether you know how much to trust it and whether your decisions account for that honestly. Most do not. Organizations routinely treat
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Last updated: April 2026 Every business says it wants better customers. More profitable accounts. Longer relationships. Higher lifetime value. Fewer difficult clients who consume resources and generate complaints. The problem is not that companies lack ambition on customer selection. The problem is that the data they use to make those decisions is frequently wrong, incomplete,
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Have you been robbed on the last mile of sales? Last updated: April 2026 The telecommunications industry coined the phrase “last mile problem” to describe the final leg of delivering a service to a customer. You could build the most sophisticated network in the world, but if the last mile of delivery was broken, the
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Last updated: April 2026 You cannot improve what you have not measured. That principle has been at the core of quality management for decades, and it is just as true for your digital marketing performance as it is for any other business discipline. A baseline is simply a documented snapshot of where you are right
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Last updated: April 2026 Buying a better tool suite does not fix data quality. Neither does asking IT to clean up the mess one more time. Sustainable data quality improvement is a change management problem, and it always has been. Gartner research puts the average annual cost of poor data quality at $12.9 million per
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