New data sources, unstructured data, and greater volumes of data than ever before are creating an information overload. Plus, customers’ demands for faster service stress front-office applications, while parallel demands from internal users place greater demands on back-office systems. Before you discover that your data quality has been rendered ineffective, consider adopting enterprise information management (EIM).
can enter their information, benefits every downstream operation no matter how far-reaching the enterprise. You can multiply the benefit by the count of all the subsequent operations that use the data. Conversely, the longer an organization waits to cleanse and improve data integrity, the more upfront operations are sub-optimized because of data defects impacting their effectiveness. Moreover, the earlier the data is cleansed, the less the cleansing costs later on. The reason is the count, type, and most