Data Integration

In today’s business world, the need for timely, integrated, trusted data in a centralized location for reporting and analysis is more important than ever. Additionally, organizations are looking to incorporate unstructured data (media, images, etc.), augment internal data with data from external sources, and move to a more “real-time” environment. The integration of such disparate data can be a complex and often daunting task.

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 business intelligence solutions. While Extract, Transform & 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. Edgewater Consulting provides expertise spanning the continuum of data integration.