Enabling Efficient Enterprise Data Management

Our Enterprise Data Management (EDM) practice enables organizations to precisely define, easily integrate and effectively retrieve data for both internal applications and external communication. Data Management is a key foundational competency of our comprehensive data science practice.

Advise

Implement

Integrate

Support

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Data Governance

  • Data stewardship

  • Data catalog

  • Metadata management
  • Data lineage

Master Data Management

  • Master data management platform evaluation

  • Designing and implementing a master data model and infrastructure
  • Reference data management

Data Integrations

    • Data Extract, Transform, Load (ETL)

Data Warehousing

  • Data modeling

  • Data cleansing
  • Data architecture
  • Semantic layer

Data Quality

  • Parsing and standardization

  • Generalized “cleansing”
  • Matching
  • Profiling
  • Monitoring

Infrastructure

  • Platform administration
  • Database administration
  • Infrastructure planning
  • Architecture
  • DevOps / release management

Leveraging our Strong Technology and Process Framework

Data Analytics

Data Science

Business Process Management

Enabling Effective Business Intelligence

  • Dedicated Data Sourcing and Management Model

  • Elimination of Siloed Data

  • Clear Inventory and Ownership

  • Thorough Understanding of Data Structuring

  • Broader Access to Data with Precise Access Control

Technologies