Data and Analytics

Enabling a Single Source of Truth with a Unified Data Model

Introduction

A large US Enterprise struggled with an unstructured and unscalable legacy data warehouse. They wanted to modernize their data infrastructure to get real-time insights and address various organizational requirements, so they approached Exavalu.

Services Offered

01

Unified Data Model

Challenges

The client was facing a serious problem while replacing their existing asset management system with advanced architecture. Their transition required extensive refactoring of the enterprise data structures which meant almost a complete overhaul of the system.

Moreover, their current data warehouse (Teradata) was largely unstructured and contained more than 10 complex subject areas. And the absence of defined data marts further complicated the segregation of data into domains.​

What deepened their challenge was the system’s unscalability to support business agility and accelerate time to market​.

The Difference Exavalu Delivered

To address each of these challenges, we adopted a phased and deeply collaborative approach:

  • Assessed and designed a migration roadmap to AWS Redshift.
  • Optimized their reporting capabilities by analyzing 360+ reports, 15+ Webi Universes, and 70+ queries.​
  • Developed 7 data marts and organized 10+ subject areas for better governance.
  • Built a unified dimensional model with 130+ dimensions and 40+ facts.​
  • Streamlined ETL source-to-target mapping of the dimensional model​.
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Listen in to the pulse of your business data with Unified Data Model! They too have a story to talk about.

Let’s understand in detail