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Operations, Synced: End-to-End Live Process Monitoring

Industry

Business Process Automation (BPA)

Company type

Enterprise

Country

Germany

Technologies used

Java, PostgreSQL, Roach, Kafka, KeyCloak, React, TypeScript, Fluent UI, Redux Saga, Clean Architecture on FE, Microservices, sockets

About The Client

An international SaaS, IoT, and FinTech provider powering enterprise and mid-market operations with 200+ employees across Europe.

The Challenge

The client lacked unified visibility across departments. Every team used different tools, tracked different data, and relied on manual workflows making it impossible to track events in real time. Sensors, apps, and even human inputs fed data into black holes as every process lived in a different stack.

The Solution

To meet the challenge, Energma engineered a scalable and flexible web app to bring live decision-making to the forefront. We:

  • Deployed a clean, scalable Java-based microservice architecture to power real-time data streams
  • Enabled full cluster compatibility for high availability and performance under load
  • Built role-specific views powered by event dependencies and rules for tailored visibility
  • Designed a modern, adaptable front-end with user-specific presentation
  • Optimized backend processes across multiple release cycles
  • Built interactive dashboards with live alerts and activity triggers
  • Launched a fully web-based interface accessible anywhere

The Result

The organization gained real-time control and clarity across software, hardware, and human workflows. Every process and data point are now visible, trackable, and actionable.

  • Unified visibility of internal teams, suppliers, customers, and external stakeholders
  • Enabled real-time process monitoring across any system, object, or business unit
  • Visualized the status of all internal and external actors from one command center
  • Translated raw tech data into functional, role-specific insights
  • Detected critical issues instantly using thresholds, event timing, and rules engine
  • Delivered tailored views for Analysts, IT, and Operations to reduce support outlay

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