Thursday, January 20, 2011

When using data quality tools, what do you include?

Poll Results

Conclusion

3 comments:

  1. 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,
    a 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.

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  2. Commented post by W. Sharp ( @dqchronicle ): When using data quality tools, what do you include? http://t.co/FMoZGgsI #DataQuality

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  3. My 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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