IRI Data Quality and Improvement
Blog: The Holloway Angle
It always bears repeating that being able to serve up high quality data is really important. This is partly because the consequences of poor data quality can be severe – misleading analytics, stymied processes, greater storage costs (due to duplicated data), and so on – but also because historically many organisations have not treated data quality as the priority it should be. Since it is traditionally a negative sell (on the grounds that bad quality leads to bad outcomes, which is entirely correct but not terribly effective as a sales tactic) this is unsurprising, but still disappointing. In turn this
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