For those who may still have a fuzzy understanding of Enterprise Information Management (EIM), the simplest definition would be: “managing critical business information at an enterprise level.” Without a comprehensive EIM strategy, organizations are likely to continue struggling with their sprawling IT environment, with widely varying data types and structures. This type of organic and chaotic growth will ensure that data integration challenges continue, and insights into enterprise operations is at best a “wish-list item”.
Critical components of a successful EIM strategy include:
- A foundation of solid infrastructure, and core, well-integrated technologies.
- An overall enterprise data architecture, designed to systematically evolve with the needs of the organization.
- Mature methodologies and business processes for data life cycle management.
- An alignment of the EIM strategy with the culture of the organization. i.e. centralized or decentralized.
- A better understanding of EIM concepts; what is feasible and what is not.
- More mature methodologies and approaches to EIM.
- Massive influx of low-cost, high-performance devices into the servers and tools market.
- Better integration of products and core technologies like cross platform data extraction, transformation and loading (ETL) tools, and just-in-time data integration technologies.