Data and Analytics

Breathing Data-Driven Insights into the Asset Management Process

Introduction

A large US Enterprise struggled with their legacy on-premises data warehouse and analytical system. They approached Exavalu to modernize their data platform for seamless asset management.

Services Offered

01

Modern Data Warehouse

Challenges

They held a legacy on-premises data warehouse and analytical system on Teradata and Oracle, which required high maintenance cost. It was unscalable during high demands and showed high latency for data flow.

How Exavalu Made an Impact

  • Performed current state assessment and identified the underlying objects and dataflow business logic​.
  • Designed solutions using Redshift, CData, Glue, Pyspark, Lambda in an AWS environment.
  • Created data lake in S3 to load asset management data from multiple sources.
  • Developed ODS data layer in Postgres for operational reporting​.
  • Built data warehouse in Redshift for BI and Analytics​.
  • Used CData to sync tables between Teradata and Redshift during implementation
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Maintenance costs significantly reduced

Seamless integration with various analytics tools

Near real-time data ingestion and reporting for smarter decisions

7+ Subject Areas covered (Community Engagement Campaigns, Management, Appointments, Donations, Manufacturing, Order, Shipment)

Let’s Harness the True Potential of Your Data

Reach out to us today