Data Quality is the process of understanding the quality of data attributes such as data types, data pattern, existing values, and so on. Data quality is also about capturing the score of an attribute based on some specific constraints. For example, get the count of records for which the attribute value is NULL, or find the count of records for which a date attribute does not fit into the specified Date Pattern.
Managing your Data Quality
This means that we can weigh the quality of data to any extent irrespective of the available data being good or bad. This Data Quality report can be captured with the complete data details, at record level or even at the attribute level. Using this report, business can identify the quality of data and make out how it can be used to help / benefit the customer. A plan can also be worked out to enhance the quality of data by applying business rules and correcting the required information based on the business needs.
This blog post aims at bringing out the significance of data quality, data quality report generation, steps involved in automation of the data quality report using the scheduler feature of Informatica IDQ.
http://www.infotrellis.com/automate-data-quality-informatica-idq/
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