IoT analytics
Transform your business with IoT Analytics
More and more processes and applications are using the Internet of Things. . Being able to analyse the data drawn from these IoT systems is a critical success factor for digitally transforming companies We can provide you with support for a variety of different optimisation options that are available to you through the use of this data:
Optimising the customer experience
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Addressing customers in store
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Minimising queues
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Security analysis
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Predictive support
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Medication monitoring
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Citizen self-governance
Optimising product performance
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Individual insurance
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Yield optimisation (agriculture, water, etc.)
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Smart grid analyses
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Guarantee analyses
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Traffic management
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Predictive asset management
Optimisation of personnel-related processes
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Worker safety
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Route optimisation
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Upturn optimisation
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Change in driving behaviour
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Hospital staff optimisation
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Intelligent support
Improving operational efficiency
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Fleet optimisation
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Fuel consumption analysis
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Energy usage analysis
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Infrastructure improvement
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Remote monitoring of systems
New revenue source
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Remote health monitoring
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Contextual marketing
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Managed services for operations
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Fleet usage
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Data monetisation
We help you to get the maximum value from your IoT data
Operational analysis of real-time data from a variety of sensors
Implementing different machine and deep learning methods for analysing data
Analyses of decentralised edge devices
Scaling your project from pilot to production
Integrating legacy systems (ERP, MES, etc.) to automate business processes
Correlating large amounts of data from a wide variety of source systems and formats
Christopher Keller
Director Big Data Analytics & IoT
Unlock new insights through IoT analytics
Our specialists support you in all phases of your
IoT analytics project.
Generieung
OT Experten machen ihre Anlagen mit Sensoren smart und helfen bestehende Daten, z.B. aus PLCs, zu erheben.
Sammlung
Data Engineers implementieren Daten-Pipelines zur Sammlung der IoT Daten in einem Data Lake oder in einer IoT Plattform.
Analyse
Data Scientists analysieren die IoT Daten und visualisieren KPIs über Prozesse und Produkte in Dashboards​.
Vorhersage
ML-Experten implementieren Machine-/Deep Learning Modelle zur Vorhersage von eventuellen Ausfällen des Equipments (Predictive Maintenance).
Alarmierung
Wir richten Alarmierungen ein, die datengetriebene Entscheidungen basierend auf ihren IoT Daten ermöglichen (Condition Based Maintenance).