This blog post lists out some of the core concepts of Data Quality assessment, perception changes in data quality, data quality management over the years, use of data quality tools to parse, standardize and cleanse data.
What is Quality Information?
There has been a change in the conventional focus on data usage with regard to how data sets support operation of transactional systems. Data quality or data fitness in today’s world is perceived in the context of reuse, repurpose and evaluated in line with conformance to business rules.
Why do we need DQ Tools and Techniques?
The fundamental steps in improving Data quality continue to be the same; however we need to rely on data quality tools for the following reasons:
- Evaluate when data errors exist
- Assess severity of the problem
- Get rid of Root cause and correct the data
- Inspect and Monitor
- Enhance quality of data
Learn more http://www.infotrellis.com/enhance-your-business-value-using-data-quality-dq-tools/
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