Enterprise Data Management
The quality of the enterprise system is tied to the quality of the data entering it. With data from numerous sources, a consistent approach to data cleansing and quality is essential for successful integration.
When connecting stove-piped systems into an enterprise, Segue works to first establish a governance structure for data standards, policies, and procedures in concert with a well-rounded team of experts from amongst all stakeholders. Then we provide recommendations and guidance to the organizations conducting data quality, in support of their efforts to prepare their data for import with our data storage solutions. We advocate the use of modern data dictionaries, data structure diagrams, and unambiguous, normalized data reporting standards.
Migrating bad data into the enterprise undermines the goal of generating accurate and actionable information. Failure to ensure data quality is one of the biggest factors in the failure of enterprise development efforts.