Enterprise Data Strategy

AI-Driven, Customer-CentricData Platform

Transform data into a strategic asset that powers AI-driven insights, enables customer-centricity, and democratizes analytics across the enterprise

A comprehensive transformation journey from siloed legacy systems to a unified, governed data platform that empowers every business user with trusted, real-time insights.

Strategic Objectives

Three pillars driving our data transformation journey

Data Architecture

Transform legacy infrastructure to cloud-native lakehouse architecture with real-time capabilities

10x Faster
Data Latency
-60%
Storage Cost
KEY INITIATIVES
  • Data Foundation Architecture
  • Analytics Architecture
  • Data Governance Architecture
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Robust Data Governance

Establish trust through comprehensive governance, quality controls, and compliance automation

95%+
Data Quality
100%
Compliance
KEY INITIATIVES
  • Data Quality Framework
  • Master Data Management
  • Data Catalog & Lineage
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Data Democratization

Empower business users with self-service analytics and AI-powered insights

70%
Self-Service
5x Faster
Time to Insight
KEY INITIATIVES
  • Self-Service Analytics Portal
  • Business Domain Data Products
  • Natural Language Query
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MATURITY ASSESSMENT

Data Platform Maturity

Our transformation journey from current state to target maturity level

Level 2
Current
Level 4
Target
1
Siloed
2
Consolidated
3
Integrated
4
Governed
5
Intelligent

Key Projects

Active and planned initiatives driving our transformation

In ProgressQ1-Q2

Lakehouse Platform Deployment

Modernize Data Platform
Progress65%
In ProgressQ1-Q2

Enterprise Data Catalog

Robust Governance
Progress45%
In ProgressQ2-Q3

Data Quality Framework

Robust Governance
Progress30%
UpcomingQ3-Q4

Self-Service Analytics Portal

Data Democratization
UpcomingQ3-Q4

Real-time Streaming Infrastructure

Modernize Data Platform
UpcomingQ4+

Natural Language Query (GenAI)

Data Democratization

Expected Benefits

Measurable outcomes from our data transformation

10x

Accelerated Decision Making

Faster time to insight with real-time data and self-service analytics

95%

Improved Data Quality

Accuracy through automated quality controls and governance

50%

Cost Optimization

Reduction in infrastructure costs through cloud optimization

70%

Self-Service Adoption

Business users enabled with self-service analytics capabilities

Transformation Timeline

Phased approach to achieving our data strategy vision

Phase 1Q1-Q2 2025

Foundation

  • Lakehouse deployment
  • Core governance setup
  • Data catalog launch
Modernize Data PlatformRobust Governance
Phase 2Q3-Q4 2025

Quality & Governance

  • Data quality automation
  • Lineage tracking
  • Compliance frameworks
Robust Governance
Phase 3Q1-Q2 2026

Democratization

  • Self-service portal
  • Domain data products
  • Business enablement
Data Democratization
Phase 4Q3-Q4 2026

Intelligence

  • AI/ML capabilities
  • Natural language query
  • Autonomous operations
All Objectives