Data Cleansing & Enrichment
Profile, cleanse, augment, and monitor data to create consistent, reliable information
Data quality is a critical factor for the success of enterprise intelligence initiatives. Bad data on one system can easily and rapidly propagate to other systems. If information shared across the organisation is contradictory, inconsistent or inaccurate, then interactions with customers, suppliers and others will be based on inaccurate information, resulting in higher costs, reduced credibility and lost business.
SAS Data Integration provides 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. organisations can transform and combine disparate data, remove inaccuracies, standardise 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.
Ready to learn more?
Call us at 01628 486 933 (UK) or request more information.