An Industrial Solutions Provider Unlocks AI-Ready Analytics on Azure - Veltris
An Industrial Solutions Provider Unlocks
AI-Ready Analytics on Azure

Real-time data pipelines and cloud-first analytics for AI-ready decision-making.

72 hrs
Real-time Supply chain visibility
25 %
Improvement in production scheduling accuracy
15 %
Reduction in inventory carrying costs
About

A leading provider of products and services to the energy, service provider, and industrial markets faced two converging data challenges that limited analytics and reporting. Veltris established a cloud-native data foundation that captured historical data in real time while modernizing legacy reporting, enabling AI-ready analytics without disrupting business operations.

From fragmented data to AI-ready analytics.


Challenge

Modernizing analytics without interrupting the business

The organization needed to eliminate a long-standing lack of historical data while migrating legacy Oracle BI reports to Power BI on Azure. Both initiatives had to run in parallel without disrupting the daily reporting cycles the business relied on.

PAIN POINTS

  • No historical data for comprehensive analysis
  • Legacy Oracle BI limiting cloud modernization
  • Multiple enterprise data sources operating in silos
  • Daily reporting cycles could not be disrupted
  • Historical data unlocked. Daily operations uninterrupted.

Historical data unlocked. Daily operations uninterrupted.


Solution

Built for real-time data. Ready for AI.

Veltris designed a Confluent Kafka CDC pipeline to capture real-time historical changes across Oracle, Salesforce, and flat files, feeding an Azure Databricks medallion architecture for governed processing and analytics.

A Bronze-Silver-Gold Delta Lake architecture, supported by SQL Server and a vector database, created a single AI-ready foundation for AI/ML applications, self-service analytics, and LLM-based reporting. The platform was operationalized with Azure DevOps, Key Vault, Monitor, Apache Airflow, and Cost Management, while Oracle BI assets were migrated to Power BI through a structured, zero-disruption approach.

STEP FLOW

Capture → Govern → Analyze → Scale with AI

AI-ready data. Smarter business decisions.

WHAT CHANGED IN THE WORK

  • Static reporting → Real-time historical insights
  • Fragmented data → Unified AI-ready foundation
  • Legacy BI → Modern Power BI analytics
  • Isolated data pipelines → Governed cloud operations

WHAT WE DELIVERED

  • Confluent Kafka CDC Pipeline
  • Azure Databricks Medallion Architecture
  • Delta Lake & Vector Database Foundation
  • Oracle BI to Power BI Migration
Ready to build AI-ready analytics foundations for industrial operations?
Results

AI-ready analytics. Zero disruption to operations.KEY RESULTS DELIVERED

72

hours real-time supply chain visibility latency

25%

improvement in production scheduling accuracy

15%

reduction in inventory carrying costs

AI-ready

architecture established for AI/ML and LLM-based reporting

 


Why Veltris

Veltris brought together industrial data engineering expertise, cloud-native analytics modernization, and AI-ready platform engineering to establish a governed Azure foundation that supports both today’s reporting needs and tomorrow’s AI initiatives. By modernizing data pipelines and reporting without disrupting daily operations, Veltris enabled the organization to accelerate analytics while building a scalable foundation for AI-driven decision-making.

CAPABILITIES APPLIED

  • Data Engineering & Real-Time CDC
  • Azure Cloud & Databricks Engineering
  • AI-Ready Data Foundations
  • BI Modernization
  • Governed Cloud Operations
  • LLM-Ready Analytics

Veltris played a critical role in strengthening our supply chain analytics capabilities by providing highly skilled techno-functional Business Analysts, along with Power BI and Data Analytics experts who seamlessly integrated with our team. Their consultants helped us consolidate and analyze data from multiple operational systems across our cable manufacturing business, reducing supply chain visibility latency from 72 hours to real-time, enabling a 25% improvement in production scheduling accuracy and a 15% reduction in inventory carrying costs.

Director, Enterprise Information Management Global Leader in Fiber Optic Infrastructure

Modernize your industrial operations with AI-ready data.