Data quality analysis is a fundamental stage of any analytical project. Good quality of data guarantees that the margin of error of the obtained conclusions will be narrower.

We offer data quality services supported by our proprietary software in the following areas:

• verification of technical and business accuracy of the input data,
• verification of the requirements the data has to meet (for instance the requirements of the New Basel Capital Accord in the case of financial institutions),
• verification of outliers and missing values,
• checking the coherence of dictionaries,
• joining databases from different sources with incompatible data formats,
• data cleansing.

The benefits of using our solutions are:

• correct interpretation of data,
• increased data credibility,
• shorter time of preparing the data for future analyses,
• narrower margin of error of future analyses.

See also:

• StatDQ - Application for Data Quality Management