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EMPOWERING USERS WITH INTELLIGENT, GOVERNED SELF-SERVICE DATA PREPARATION

December 05, 2019
USA (United States of America)
Data preparation is vital to every project whether the goal is to gain a single view of the truth, feed operational dashboards, or develop analytics for predictive insights. However, too often procedures for collecting, profiling, and cleansing data to improve its quality are too slow. Along with steps to standardize, join, and transform data, these quality procedures chew up time that data engineers, users, and IT developers should be spending on more valuable activities. In the meantime, business opportunities are lost due to poor and incomplete data. Critical data sources can’t be integrated fast enough.