After 20 years as a data warehousing practitioner, I've seen my share of data quality issues. The vast majority are unexpected and cost extra development time and budget money. Many have harmful impact on the business. Bad data quality has become an unfortunate fact of life for many business users who learn to understand and accept the reasons for bad data and do the best they can.

There are other situations where bad data quality is lurking in the system and neither the business nor IT even knows it. For example, sales transactions may have missing product category codes. If the reports try to match sales transactions to each product category code, the missing ones will be omitted and sales figures will be underreported.

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