Data Integration: Data Cleansing and Validation

Accessing and moving data is only part of the challenge. The real value is in ensuring that the data can be trusted and is accurate. Inaccurate data can easily propagate to other systems and if used for a BI solution, will yield poor decisions. Poor decisions result in higher costs, reduced revenues and general poor company performance. Once a system is exposed as delivering bad data, users’ trust has been breached. This can be difficult to regain. Hence putting in the appropriate effort up front to ensure clean and valid data is critical.

CCI uses SAS’ Data Integration technologies to provide a single environment that seamlessly integrates data quality within the data integration process, taking users from profiling and rules creation through execution and monitoring of results. Organizations can transform and combine disparate data, remove inaccuracies, standardize on common values, parse values and cleanse dirty data to create consistent, reliable information.

Rules can be built quickly while profiling data, and then incorporated automatically into the data transformation process. This speeds the development and implementation of cleansed data. A workflow design environment facilitates the easy augmentation of existing data with new information to increase the usefulness and value of all enterprise data.

The expertise of CCI and the technology from SAS speeds the delivery of credible information by embedding data quality into batch and real-time processes. This reduces costly errors by preventing the propagation of bad data and correcting mistakes at the source. In addition, it keeps data current and accurate with regular auditing and cleansing. Finally we can even add value to existing data by generating and/or appending information from other sources.

The data alone is not enough. It has to right, or the rest of the solution is working against you.