According to the latest Experian Data Quality Global Research, almost 63% of organisations lack a coherent, centralised approach to data quality. When looking at the numbers behind the research, more than half (51%) say individual departments still adopt their own strategy, and while 92% of businesses surveyed still find data quality challenging, this clearly points to a lack of a consistent and centralised approach as one of the problems. It is not just about having a data quality strategy in place; it’s about doing it in a streamlined, consistent and efficient manner that creates the more mature data quality organisation.
In my previous blog, I talked about Experian's brand new Data Quality Improvement Assessment, why we developed it and how we hope organisations will benefit from using it. The assessment gauges an organisation's data quality strategy maturity and plots the results on our data quality maturity curve as well as offering useful reading and advice.
In my last blog, I gave some background to Experian's brand new Data Quality Improvement Assessment around why we developed it and what we hope organisations will get out of it. The assessment plots an organisations data quality strategy on a graph, meaning they can benchmark themselves on how sophisticated their data quality strategy is.
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