Internet of Things Analytics

Increasing volumes, variety, and velocity of data coming from sensors, machines, and other connected devices bring significant data integration challenges. Pentaho helps organizations easily prepare and blend machine and sensor data with other assets – such as data from your ERP or CRM systems – to provide the necessary context to deliver transformative business outcomes.

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internet of things analytics

AUTOMATE INGESTION of MACHINE & SENSOR DATA

Manage data volume and complexity, including ingestion and integration of sensor, machine-to-machine, and network data, all of which are required for successful IoT analytics.

  • Ingest and process machine and sensor data from IoT endpoints, messaging services and other data sources using appropriate big data architectures
  • Access varied data sources – batch or streaming
  • Automate data ingestion and onboarding from many sources using Metadata Injection. Metadata injection speeds up development, testing, and deployment time by 10x.

BLEND & ENRICH DIVERSE DATA WITH A DATA REFINERY

Integrate, transform, and orchestrate machine and sensor data with data from traditional information systems such as inventory management and scheduling systems.

  • Connect natively to leading Hadoop distributions, NoSQL stores, and analytic databases
  • Prepare, model, and explore structured, semi-structured, and unstructured data sets
  • Blend sensor and machine data with data from data warehouses, enterprise applications, maintenance history, GPS devices, weather trends, and more
  • Operationalize R, Python, or Weka models and machine learning models with feedback loops as a part of the data integration workflow

DRIVE OUTCOMES WITH COMPREHENSIVE IOT ANALYTICS

Pentaho’s data integration and analytics platform enables enterprises to provide end users and decision makers with IoT insights and analytics to drive actual outcomes.

  • Identify meaningful patterns with tailored dashboards, compelling visualizations, and ad-hoc analysis
  • Analytics can be embedded into your own applications for in-process access and decision-making
  • Uncover patterns in equipment and device data with powerful machine learning and data mining tools
  • Apply insights to fine-tune equipment for better operational efficiency

LEVERAGE A COMPREHENSIVE IOT PLATFORM & PROVEN EXPERTISE

IoT projects are most successful when organizations focus on outcomes and not technology for the sake of technology. The IoT edge to outcome platform, combined with extensive subject matter experts, have proven IoT success.

  • Comprehensive edge to outcome platform starting with onboarding and blending diverse data sources – all the way through orchestrating and delivering insights from machine learning models
  • Integration with other IoT systems and technologies
  • IoT Blueprints, such as Asset Longevity and Minimizing Downtime, provide reference architectures, best practices, and tangible ROI
  • Access to a team of experts who have worked with successful IoT implementations and can help prove out your use case