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Real-Time Process Intelligence & KPI Visualization

Real-time KPI visualization & "Golden Batch" analytics for biotech R&D. Transform raw data into proactive process control.

Industry

Biotech / Pharma R&D

Scope

Data Analytics / Grafana / Advanced KPIs / Process Monitoring / Golden Batch

Timeframe

Ongoing Iterative Optimization

Technology

  • Grafana
  • InfluxDB
  • Python (Data Processing)
  • SQL
  • Bioprocess KPIs (VCD, VVD, CSPR)

12+

Critical KPIs – Automated and visualized.

1

Unified View – Combining offline and online data streams.

The client

A premier R&D facility focused on perfusion processes. The client needed to transition from post-experiment data analysis to real-time process intelligence to accelerate the development of complex biological products.

Business needs

Scientists were drowning in raw data but starving for insights. The critical need was to contextualize live data streams - transforming abstract sensor readings into actionable biological KPIs (like Growth Rates and Viable Cell Density) - to allow immediate comparison against the ideal "Golden Batch."

The challenge

  • 01

    Data Latency Critical insights were often only available days after the experiment via offline Excel reports.

  • 02

    Complex Calculations Key metrics like CSPR (Cell Specific Perfusion Rate) required integrating data from multiple disjointed sources (scales, sensors, offline samples).

  • 03

    Visualization Gap Lack of intuitive tools to visualize trends and deviations in real-time.

Our solution

We provided a robust Data Intelligence layer, automating the calculation of critical process parameters and visualizing them through high-performance dashboards. The solution entailed:

  1. Advanced KPI Engineering

    Automated the calculation of 12+ critical KPIs (including VCD, VVD, and Bleed Rates) directly within the data platform.

  2. "Golden Batch" Context

    Enabled overlay of current run data against historical "best run" profiles, allowing immediate deviation detection.

  3. Grafana Dashboard Ecosystem

    Redesigned visualization interfaces to match P&ID layouts, offering scientists a familiar and intuitive view of the process.

  4. Data Source Integration

    Unified offline analytical results with online sensor data into a single source of truth (InfluxDB).

Technology used

  • Grafana
  • InfluxDB
  • Python (Data Processing)
  • SQL
  • Bioprocess KPIs (VCD, VVD, CSPR)

The outcome

The project resulted in a robust system that transformed the lab's data culture from retrospective analysis to proactive process control.

  • Real-Time Visibility
  • Enhanced Decision Making
  • Efficiency
  • 1 Unified View

What we implemented

  • 12+ Critical KPIs Automated and visualized biological metrics like VCD and VVD in real-time.
  • 1 Unified View Integration of offline analytical results with live online sensor data streams.
  • Golden Batch Context Real-time comparison of current runs against historical best-performing batch profiles.
Jacek Fischbach
"Data without context is just noise. By automating complex KPI calculations and visualizing them in real-time, we empowered scientists to stop reacting to yesterday's data and start steering today's experiments toward the 'Golden Batch'.
Jacek Fischbach — Delivery Executive

How can we help you?

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