Janus
Industrial KPI Reporting & Analytics Platform
Business context and structural constraints
Replace manual data entry with a centralized system for daily KPI tracking. Manage performance data across different factories with tools for report configuration, administrative oversight, and forecasting.
The Solution
Architectural approach and implementation
A comprehensive enterprise-level platform for large-scale industrial data management and performance tracking. Enables manufacturing facilities to digitize reporting processes, automate KPI calculations, and perform advanced predictive analytics.
How we turned the challenge into a solution
Each stage formalizes uncertainty into a concrete engineering outcome
Audit → Dependency Map
Inventory of 17+ disparate systems, data flow mapping, identification of critical integration points and performance bottlenecks
Map → Unified Architecture
Design of event-driven microservice architecture with multi-region data residency and zero-trust security model
Architecture → Working Prototype
Document management MVP with FIDO2 authentication, AES-256 encryption, and basic workflow engine for pilot group
Prototype → Scalable Platform
Horizontal scaling to 160+ countries, multi-tenant isolation, AI document classification with 95% accuracy
Platform → Analytics Core
MyInsights recommendation engine, predictive SLA alerts, personalized delivery of regulatory updates
Core → Continuous Compliance
Automated retention policies for 160+ jurisdictions, document integrity chain, one-click audit report generation
Daily KPI Reporting & Calculation
Plant employees input daily metrics, automatically processed into comprehensive performance reports.
Multi-Plant Configuration
Flexible tools to configure KPIs and operational rules per factory.
Centralized Administrative Dashboard
Management interface for overseeing, validating, and managing reports from all sites.
Predictive Analytics & Comparison
Generate future performance forecasts and compare with historical data.
Automated E2E Testing
Jest and Cypress testing suites ensuring system reliability.
The Impact
Quantitative results demonstrating the real impact of implementation on operational efficiency, infrastructure reliability, and platform scalability
Increased KPI calculation accuracy by 45%
Boosted data throughput by 50% via Kafka and RabbitMQ
Reduced reporting overhead by 35%
Improved forecasting precision by 30%
Technology Stack
Built with proven enterprise-grade technologies
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