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Enterprise Data Management

 

TCS is focused on creation of accurate, consistent and transparent data content for its customers. It emphasizes usability of data for its intended purpose and audience. TCS helps you to meet the enterprise data management goals to provide data assurance in terms of security, quality and accessibility.

Client Challenges

  • Highly dispersed, fragmented and duplicated data – No enterprise view
  • No standards on internally and externally generated data – Low Data quality
  • Usage of disparate technologies for implementing identical processes in different department
  • Nomenclature and standardization issues – Lack of centralized Metadata management
  • Non-integrated processes and information – poor Master data management
  • Uncontrolled and/or unauthorized access to data – Data security issues
  • Lack of governance and ownership of data assets
  • Privacy, legal and regulatory compliance

What TCS Provides

TCS’ solutions provide methodologies, best practices and proven solutions covering all aspects of enterprise data management. We bring expertise and experience in implementing data management solutions for customer.

For TCS, the EDM strategy is supported by backbone comprising six components:

  • Data architecture
  • Data quality management
  • Metadata management
  • Master data management
  • Data security
  • Data governance

Business Value

TCS’ understanding of the business drivers of data management strategy and solutions stems from our experience in tackling the complete lifecycle of data assets. We understand that for our customer data is not just any entity but a precious asset and at TCS we endeavor to make it secure, accessible and usable for our customer.

Our comprehensive Enterprise Data Management Framework can help you with the following:

  • Achieve organizational alignment on the governance of data management issues throughout the enterprise
  • Define and implement data architecture encompassing data modeling, data flow analysis, tuning, storage, visualization, and infrastructure
  • Identify, implement and maintain a single, unified view of reference data across the enterprise
  • Ensure data security, through security policies and processes
  • Establish processes that ensure good quality data on a regular and consistent basis