Case Study

How a leading US-based retailer optimized 7000+ pipelines and enabled 70% faster BI reporting

Supercharged data lake performance, reduced time to insights, and enabled faster decision-making—with 24×7 support and guaranteed SLAs

Business need

A leading US-based retailer specializing in personal care products wanted to accelerate data processing and BI reporting for critical business use cases. With thousands of data pipelines and reports supporting real‑time operations, the retailer needed a scalable, data foundation that could consistently deliver fast, trusted insights. They were looking to enhance the scalability of their Snowflake-based data lake while improving performance, reliability, and cost-efficiencies.

Key business requirements:

  • Improve data quality, extraction, processing, and orchestration at scale
  • Eliminate performance bottlenecks and modernize compute intensive batch workloads
  • Empower enterprise-wide teams with real-time, self-service insights for better decision-making
  • Ensure on-time delivery of 1200+ MicroStrategy reports to stakeholders with strict SLA adherence
  • Reduce operational overheads while improving support infrastructure
  • Leverage automation, agentic AI workflows, and continuously optimization of operations

Enabled 75% faster performance and saved millions of dollars in operational costs with continuous monitoring and optimization

Solution

Impetus provided an end-to-end, intelligent DataOps solution—eliminating performance bottlenecks and cost inefficiencies, while providing always-on support. The solution focused on hydrating the retailer’s data lake with 100% accurate data, continuously optimizing storage and compute, and delivering self-service dashboards for real-time decision intelligence.

Key highlights 

  • Provided 24×7 multi-tier support for 5000+ Snowflake data pipelines, 2000+ Talend  pipelines, and 1200+ MicroStrategy reports
  • Extracted and transformed 400 TB data at high speed, enabling availability of real-time insights to business users
  • Enabled intelligent orchestration for seamless data loading and processing leveraging Control-M
  • Identified storage optimization opportunities using specialized AI agents for server operations and health checks
  • Built scalable Snowflake dashboards to proactively monitor compute and storage usage and costs
  • Optimized compute-intensive queries to unlock cost efficiencies and accelerate report generation time

Powered intelligent DataOps on Snowflake – optimizing 7000+ pipelines and accelerating generation of 1200+ reports – with 24×7 support

Impact

Impetus’ intelligent DataOps and data engineering excellence helped the retailer build a high performance, scalable, enterprise-grade analytics foundation for mission-critical use cases – including order fulfillment, dynamic pricing, personalized offers, and more. By optimizing performance, cost, and reliability, the client realized a host of powerful business benefits:

  • Performance gains: 75% faster performance on Snowflake
  • BI acceleration: 70% faster generation of MicroStrategy reports
  • End-to-end reliability: 100% SLA adherence for ingestion, processing & report delivery
  • Cost savings: Massive reduction in compute-related costs
  • Expanded access to insights: Wider adoption of self-service analytics across the organization