Understanding Enterprise Data Integration
What is Enterprise Data Integration?
Enterprise Data Integration (EDI) is a technology that help combine and integrate two or more sets of data. It includes merging data from disparate systems and delivering the same in a way that it is manipulated and analyzed to support information management activities. Data integration has become important in cases of mergers, acquisitions and consolidation to provide a different view to the data assets of a company.
Why Enterprise Data Integration is important?
Every business relies on IT for accessing, integrating and delivering data. As data is everywhere, in the cloud, on premise and in multiple disparate systems, accessing the data alone is not easy. It has to be cleansed, aggregated and validated and put in a better form so as to be useful for the users. Unlike application integration, that focuses on transaction management, data integration resolves complex issues that arise due to data fragmentation. IT organizations use data integration in varied ways to driver their businesses and implement real-time reporting and analysis to optimize minute-by-minute operational and strategic decisions. Data integration is also being used for big data analytics.
What is the unified approach to data integration?
To effectively manage data integration, organizations practice a holistic process.
· Technology: Platform for Enterprise Data Integration: For smooth running of multiple projects, organizations need an EDI platform that offers:
i. An open, platform-neutral architectural design for heterogenous IT environment
ii. Broad access to enterprise data — no matter its size, style and structure
iii. A unified architecture to simplify and accelerate development, deployment and maintenance.
iv. A shared service approach based on metadata.
v. Enterprise-class availability, reliability, scalability and security.
· Architecture: service-oriented architecture: Data integration plays an important role in service-oriented architecture (SOA), adopted by many organizations. For SOA, organizations require data integration platform to deliver share data that is defined by metadata and easily allow inter operation with other IT architecture.
· Approach: Integration Competency Center (ICC): ICCs have become one of the best practices for EDI. They are an organizational approach to increase agility and lower implementation costs.
Challenges faced by data integration
· Unable to analyze vast data sets
· Difficult to deal with Heterogeneous data
· Reduced adherence to data regulations
· Poor data quality in legacy systems
· Data isolation
· Lack of data management expertise
Following are the benefits of data integration:
· Overall data synchronization enable complete view of business entitles.
· Real-time information delivery aid strategic decisions
· Accurate and standardize data adhere to global regulations
· Cleansed and consistent data across sales improves opportunities.
· Automated processes improve operations due to data centralization.
Enterprise Data Integration initiatives
· Application integration: Companies enable initiatives through sustainable integration architecture. This lowers the cost of ownership.
· B2B integration: IT departments face challenges to provide B2B integration solutions. EDI help reduce complexity and increases flexibility.
· Big Data integration: Companies use enterprise integration platform with integrated big data movement solution to seamlessly flow the wide range of big data applications.
· Cloud integration:Cloud integration support B2B integration processes in the cloud as well as file distribution and document sharing.
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