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Data quality

A rich presentation indeed: Take notice
by

Maradona Gatara

on 20 September 2010

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Transcript of Data quality

Data quality There should be enough quality to facilitate decision making Current levels of data quality Quality levels required by specific decision processes Potential gains made from projects designed to improve data quality Data is a key organizational resource and must be treated as such Assessing data quality Data is best analysed via number of attributes and dimensions Accuracy Completeness Consistency Timeliness Categories of data Intrinsic Contextual Representational Accessible Data quality is not an exact science Improving data quality Data quality is key to business performance First look at current levels Potential benefits of projects designed to improve the quality of data (Ballow and Tayi, 1999) AIM Excellence, value, conformance to specifications and the meeting or exceeding of customer expectations Evaluation of costs Assignment of process responsibilities Data responsibilities Identify causes of errors Selection of strategies and techniques Design of data improvement solutions Process control Process design Improvement management Improvement monitoring Data quality is key to any organization If it can be correctly measured and enhanced Overall organizational perfomance improves both short and long term DQ Questions, anyone?
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