We moeten onderzoekers voorzien van de best mogelijke voorspellende realtime data-analyse om het succes van hun onderzoek te ondersteunen
Predictive Real-time Data Analytics

Life Sciences

Life Science facilities are facing the risk of contamination and storage failures, this could result in costly product loss.

Protecting invaluable research

Life Science companies run process critical systems, these companies need the ability to identify potential problems and resolve them before they escalate. Synergy Data Solutions provides Predictive Real-Time Data Analytics that detects outliers or anomalies, and that forecasts resource usage and user demand, so engineers or researchers can proactively prevent downtime.

Analyzing environmental conditions such as temperature and humidity is of great importance especially in laboratories and their storage and cooling environments to ensure the stability of the critical processes and repeatability.

Predictive Real-time Data Analytics and Life Sciences

Life sciences analytics is a process of clinical Predictive Real-time Data Analytics which provides predictive tools for better care. One of the biggest challenges being faced by Life Science Predictive Real-time Data Analytics is associated with the factors of accuracy.

When there is an error in the analysis the whole chain of medication and treatment can be disrupted. The integration of Predictive Real-time Data Analytics of information is essential for the life science industry.


Assets Analyzed

  • Temperature
  • Humidity
  • Differential Pressure
  • CO2
  • O2
  • Open/Close contacts

  • Air Velocity
  • Power Line Monitoring
  • Door Switches
  • Flow
  • Particle Counters

Devices and Equipment

  • Refrigerators
  • Freezers
  • Ultra Lows
  • Incubators
  • Liquid Nitrogen Units
  • Stability Chambers
  • Class II, Type A cabinets
  • Class II, Type B cabinets
  • Class II, Type C1 cabinets

Synergy Data Solutions B.V.


+31 (0) 88 855 0100


Volg ons op LinkedIn