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What data quality is (and what it is not)
Like the radar system pictured above, data quality is a sentinel; a detection system put in place to warn of threats to valuable assets. ...
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Answer by Alex Kamil: Prerequisites Unix shell basics: http://www.amazon.com/Uni x-Progr... C: http://www.amazon.com/Pro grammin... OS basic...
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While most organizations have data quality issues, not every organization has a budget for software to monitor, report and remedy data qua...
First and foremost, people in any organization need to have a documented common understanding what are the data objects of interest for their business and what are the describing attributes. To create this common point of reference,
ReplyDeletea data modeling tool is required.
In a second (better: parallel) step, the processes that create, update or delete those data objects need to be identified. Each process that manipulates data is a possible factor to influence the data quality for better or for worse.
To document the identified processes and their specification, a process modeling tool is required. (I recommend to use a process modeling tool that is integrated with the data modeling tool in the way that processes can be linked to the data and vice versa.)
Having such a fundament, you can examine process after process to eliminate possible quality risks, by adding integrity checks to your transactions, by training your staff to double-check data at any point of entry, by additional batch tools that correct / clean-up data on a regular basis etc.
Commented post by W. Sharp ( @dqchronicle ): When using data quality tools, what do you include? http://t.co/FMoZGgsI #DataQuality
ReplyDeleteMy comment on post by W. Sharp ( @dqchronicle ): When using data quality tools, what do you include? http://t.co/FMoZGgsI #DataQuality
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