Data Quality
Data quality is a key concept of contemporary information management in businesses. As the virtualization and complexity of the delivered services grow, the size and diversification of data stored by businesses increases. Frequently crucial business operations, such as direct communication with customers or order deliveries, depend on this data.
Data used in everyday operations frequently suffers from missing values and errors or lack of integrity. Using inaccurate or disturbed data in significant business activities and basing decisions on it may lead to serious losses.
We offer data quality services 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.
Benefits
- less time devoted to data unification before each use,
- correct interpretation of business data,
- increased data reliability,
- less time devoted to the preparation of data for future analyses,
- decreased marketing campaign costs as the result of reduced number of duplicate shipments.
