Enterprise Information Management (EIM)

EIM is essentially the function of managing information as an enterprise asset. EIM is based on the fundamental belief that information is a critically valuable enterprise asset, and as such, must be properly managed for effective use. EIM enables the control, availability, and productive use of high quality information to meet the needs of all stakeholders. The ultimate objective of EIM is getting the right information to the right people at the right time.

SKML's EIM Framework

EIM compels the Business and IT organizations to work toward common enterprise objectives. EIM is a shared responsibility between business (data stewards) and IT professionals. Data stewards serve as the trustees of enterprise data assets, with assigned responsibility and accountability. IT professionals provide EIM services and serve as the curators of enterprise data and related technology assets.

SKML’s pragmatic approach to EIM

EIM initiatives should be driven by business value - enabling enterprise initiatives such as Master Data Management (MDM), enterprise Business Intelligence and Data Warehousing (BI/DW), or Enterprise Resource Planning (ERP) efforts. The EIM program rollout should be iterative and aligned with the enterprise initiative it is supporting.

EIM is not a destination - it is an ongoing journey of cultural change and quality improvement. It is a comprehensive, coordinated framework of disciplines, processes, and practices for managing information assets. We split EIM into a set of functional components and best practices supported by various technologies, as shown above in SKML’s EIM Framework. Four of these functional components are critical to enabling a successful EIM program:

• Data Governance
• Data Architecture
• Data Quality Management
• Metadata Management

These core EIM components are essential for sustainable Business Intelligence, Data Warehousing, Master Data Management, Structured Data Management, and Unstructured Data Management at the enterprise level. Data Integration Management and Data Security Management facilitate the utilization and protection of data in support of EIM and other initiatives across the enterprise.

EIM Consulting Services

• EIM Strategic Services
• BI – Analytics – Big Data
• Master Data Management
• Data Integration Management
• Data Quality Management