Success Story.

Driving Smarter Decisions: How a Global Construction & Mining Equipment Manufacturer Modernized Analytics at Scale with Snowflake

The client is a global manufacturer of construction and mining equipment with complex pricing, finance, and asset data distributed across multiple business lines. Their legacy SaaS analytics platform had become costly and restrictive, limiting customization, data access, and the ability to support executive reporting. The organization sought a scalable, cloud native Snowflake data lake to enhance data visibility, quality, and analytics performance.

Business Need

Critical pricing and finance data was locked inside a third‑party SaaS system, creating operational and financial challenges:

High recurring SaaS licensing costs
Inability to customize or scale analytics
Restricted access to raw and curated data for downstream systems
Infrequent finance data refresh cycles affecting executive dashboards
Limited visibility into data quality issues and no structured governance framework

The client needed a flexible enterprise data lake on Snowflake to modernize analytics, cut legacy costs, and enable self‑service BI.

Solution

YASH Technologies implemented a modern, AI‑enabled Snowflake Enterprise Data Lake, replacing the legacy SaaS platform and establishing a scalable, governed analytics foundation. Key elements included:

250+ automated data ingestion and transformation jobs
A structured data quality framework with rules, workflows, and scorecards
A multi‑layer Snowflake architecture (staging → dimensional → consumption)
400+ Snowflake tables built across eight business lines
45 Power BI dashboards replacing legacy reports
Standardized pricing and finance KPIs across business units
Self-service BI enablement for finance and business teams
AI‑driven insights powered by Snowflake Cortex

Business Benefits

Faster access

to refreshed finance and pricing data supporting real time executive dashboards.

Reduced costs

with $3M year over year savings after eliminating third party SaaS licensing.

Automated & scalable operations

through 250+ pipelines and a centralized Snowflake data lake.

Stronger data governance

via structured quality rules, workflows, and business driven issue resolution.

Future ready foundation

to support AI, advanced analytics, and data science workloads through Snowflake Cortex.

Modernized reporting

with 45 Power BI dashboards replacing legacy reports and enabling self service analytics.

Download Full Case Study