May 2020
Intermediate to advanced
158 pages
4h 37m
English
Content preview from Managing Data Quality
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CONCLUSIONS
We have explained the nature of the data asset, why data are difficult to manage in an enterprise situation, the approach to data quality management as specified by ISO 8000-61 and detailed considerations to help implement effective and efficient data quality management in an organisation.
Improving data quality management needs to include suitable allowance for the human dimension of data – without this, any data improvement activity is likely to be unsuccessful. Through various examples, we have illustrated the effects of beliefs and behaviours on data quality, whether at the top of an organisation or for front-line, customer-facing staff.
We have also made a number of comparisons between health and safety and data – achieving ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.