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Business Intelligence & Data Analytics Services for Pest Management Company

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500+

Happy Customers

12+

Years of Experience

15+

Countries Clients Served

800+

Completed Projects

Technology

SQL Server, Azure Data Factory, Power BI Premium

Overview

The client is a third-generation, national distribution business in the United States serving the pest management and wildlife industries. Techcronus upgraded their infrastructure to a Power BI Premium environment, managed their 250+ GB SQL Server database, and built custom analytics solutions including multi-brand data architecture and automated testing frameworks. The project delivered optimized report refresh times, continuous maintenance, and scalable data models.

Technology Overview:

  • Power BI Premium Environment: Transitioned from Pro (1 GB limit) to Premium, enabling daily automated refresh schedules (5 AM data pulls; 7:30–9 AM dashboard updates) and optimizing large report refresh times down to 30–60 minutes.
  • SQL Server & Data Warehouse Management: Managed a growing 250+ GB database (expanding by 1–3 GB monthly) with targeted performance optimizations, version control, and geographically redundant disaster recovery protocols.
  • Multi-Brand & Data Architecture: Built a unified data warehouse supporting multi-brand data architectures, custom MBO membership reporting, and automated data integrity testing.

Key Features:

Infrastructure & Data Management:

  • Capacity Expansion: Upgraded to Power BI Premium to support large-scale datasets and advanced features.
  • Automated Data Processing: Implemented structured daily refresh routines and reduced report load times significantly.
  • Disaster Recovery & Security: Configured geographically redundant backups, database maintenance, and monthly security audits.

Development & Custom Reporting Services:

  • Custom Dashboards: Created tailored dashboards covering Customer Analysis, GAP Analysis, Aging Analysis, Freight Analysis, Sales Growth, and Forecast Summaries.
  • Data Modeling & Integrations: Optimized data models and handled complex integrations across multiple data sources.
  • Automated Testing Framework: Deployed automated checks to maintain data integrity across reporting layers.

Ongoing Support & System Maintenance:

  • Dedicated Monthly Allocation: Allocated 50–70 hours per month for custom development, bug fixes, and feature implementations.
  • 24/7 Coverage: Provided business-hours support (8 AM – 5 PM), critical after-hours emergency support, and unlimited end-user assistance.
  • Continuous Monitoring:Established a continuous performance monitoring framework using a formal project management tracking system.
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