In most organizations today, data and other information are managed in isolated silos by independent teams using assorted data management tools for data quality, integration, governance, meta- and master data management (MDM), content management, and so on. From a technology viewpoint, the lack of coordination among data management disciplines leads to redundant team staffing and limited developer productivity. Even worse, competing data management solutions can inhibit data’s quality, consistency, standards, scalability, architecture, and so on. From a business viewpoint, data-driven business initiatives suffer (including BI, CRM, and business operations) as a result of poor data quality and incomplete information, inconsistent data definitions, noncompliant data, and uncontrolled data usage.

Forward-looking organizations are solving these technology and business problems by adopting enterprise data management (EDM). Download this TDWI Checklist Report to learn more about this best practice for unifying diverse data management disciplines.