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Methodology

01

Data Engineering

Capture & Refine
  • Integrate structure, semi structured and streaming data.

  • Metadata driven, platform agnostic a onboarding approach.

  • AI driven data cleansing and enrichment.

02

Business Semantics

Model Data
  • Gold data based on industry and function specific data models.

  • Analytical models and insights.

  • Feature Engineering

03

Data Visualization

Consume
  • Business metrices, dashboard and KPI library.

  • Intellegent NLP based conversational assistants.

  • Enable proactive desicion-making by identifyingtrends, risks, and opportunities.

  • Data story boarding and narrative analytics. 

04

Predective Analytics

Analyse
  • Data exploration and predective modelling.

  • Scenario baed model development.

  • Agile experimentation framework.

  • Self-service advanced analytics across a science lifecycle.

05

Data Governance And Operations

Govern And Operate
  • Unified data governance approach.

  • Data catalog, master data and hiarachy management.

  • Security& Privacy.

  • Intelligent platform operations.

  • Data Observability.

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