Data Integration / ETL Services

Data Integration is fundamental to enterprise information management/data warehousing initiatives. An effective data integration strategy, architecture, and supporting infrastructure and processes are vital components in the delivery of analytic solutions. While Extract, Transform and Load (ETL) is still a commonly used technique for data warehouse focused data integration, the evolution of technology coupled with the increasing sophistication of data consumers has driven the increasingly complex nature of data integration. The accelerating end-user demand for “real-time” data increases the demands on a data integration infrastructure, while scorecards and dashboards increase the expectation of seamless visibility into data.

As the capabilities of technical infrastructure have increased, initiatives like Enterprise Information Integration (EII), Enterprise Application Integration (EAI), Master Data Management (MDM), and Product/Customer Data Integration (PDI/CDI) are viable components of EIM.