Artificial Intelligence

How We Do

We use a consultative approach that combines all teams i.e., data engineering, cloud, data privacy, compliance expertise with proprietary frameworks and maturity models to construct a modern data ecosystem. In add-on, our malleable resourcing model allows for the rapid scaling of teams through a husk or virtual husk-based tactic

DE flow

Method-4(M4) Data Strategy Roadmap

A custom execution framework for analytics engagements. It provides a proven strategy and predictable steps for data modernization

DE flow
  • Map business objectives and key results and IT goals to build a comprehensive view of strategic intent for the program
  • Map current state challenges with strategic goals to showcase critical milestones (Quarterly view)
  • Map milestones (Quarterly) with specific data assets, data products and capabilities delivered
  • Modernize hosting platform, foundation, data products like DQ engine, catalogue, lineage, discovery, virtualization, etc.
  • Modernize data architecture & deliver data models for optimized semantic layer, joined key management process, data pipeline.
  • Modernize information consumption competences.
  • Migrate legacy data assets onto target state platform as per reference architecture
  • Monetize data assets by empowering business users through governed, self-service capabilities to deliver faster insights
What We Do
How We Do