Information Management

Information Management:

iLink offers end to end Data management services that cover the entire cycle of enterprise information management. iLink has Data Management Practitioners who are specialized in Architecture, Design and Implementation of large Enterprise Data Warehouses for several Banking and Insurance customers. Have successfully led EDW implementations leveraging Custom models and industry standard data models such as Teradata-FSLDM/IBM-BDW. Extensive experience in building reference architectures for all aspects of Enterprise Information Management. Also have established and managed large managed services model engagements to Support and maintain large Warehouses in a global delivery model.

The right information architecture lays the foundation for the capture and use of your data for your enterprise goals. We have in house frameworks to assess your current information architecture and lay out a data strategy roadmap that would provide competitive advantage through cutting edge enterprise information management architecture aligning to your business needs. We approach Information architecture with focus to all aspects of Information management such as robust data model design, Reusable Data quality framework, Ease of use Metadata strategy etc.

Data integration is a key function for any information management initiative. We have solution accelerators that have the capability to automatically generate ETL code by a Metadata driven approach. We also have solution accelerators that can perform automated data validation for point to point data movement. This will help cut down the development life cycle significantly.

Data Archival is becoming a key function in the current Information management life cycle. Increased cost of storage, Diminishing application performance and regulatory compliance needs are the key drivers for the increased focus on establishing a proper data archival strategy. The maturity of the test environment infrastructure has become key for the success of large data warehousing initiatives. We have deep experience in helping customers define and implement Archival & Test data management strategies.

Our services include:

  • Data Management Strategy & Architecture Definition
  • Data Modeling
  • Master Data Management(MDM)
  • Data Quality and Metadata Management
  • Data Integration
  • Data Testing
  • Information Life cycle Management - Data Archival & Test Data Management

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