BLUEPRINT FOR BIG DATA SUCCESS:

Minimize Unscheduled Downtime

Pentaho helps organizations identify and remedy maintenance issues ahead of time. By easily preparing and blending machine and sensor data with other contextual data, Pentaho helps to keep operations running smoothly and maximizing available resources.

With Pentaho, Predict System Failure Before it Happens

Unexpected downtime and system outages compromise the reliability and availability of the operational chain. Several variables in the supply chain can cause downtime, such as poor equipment utilization, inclement weather, and the quality of raw goods.

Predicting downtime is a complex data problem. The Internet of Things (IoT) provides part of the data required to properly predict future events. With Pentaho’s end-to-end data integration and analytics software, organizations are now able to measure and process the variety of data required, predicting system failure and prescribing remedies ahead of time.

With Pentaho, you will be able to:

  • Apply predictive maintenance models to identify system failure ahead of time
  • Make prescriptive maintenance recommendations through machine learning
  • Run root cause analysis to optimize system performance
  • Collect data by monitoring assets such as sensors, actuators, cameras, and proximity beacons
  • Run analytics in context, which triangulate various factors such as conditions and maintenance responsiveness with each other
  • Optimize maintenance by marking the real-time state against your KPIs
  • Develop redundant systems, in anticipation of system failure

How IoT Analytics Minimizes Downtime

Pentaho empowers organizations to:

  • Ingest and process machine and sensor data (batch or stream) into Hadoop from messaging services, web APIs, and data files​
  • Blend traditional data with sensor and machine data from data warehouses, enterprise applications, social media and more​
  • Prepare, model, and explore semi-structured and unstructured data sets ​
  • Operationalize R, Python, or Weka models and machine learning functions as a part of the data integration workflow ​
  • Uncover meaningful patterns in equipment and device data with visualizations, interactive reporting, ad hoc analysis and custom dashboards ​
  • Embed Pentaho IoT analytics into Line of Business applications to deliver reports or visualizations to end users

Example of an IoT Analytics Architecture:

IoT Analytics

Learn more about IoT analytics.

The ROI of Minimizing Downtime with IoT Analytics

Modernize and improve your organization by minimizing unscheduled downtime. By setting up systems to prevent and predict downtime outages, your organization will save significant time and money, be more reliable and cost effective, and provide better service delivery.

  • Machine Learning Orchestration offers a comprehensive solution for data science teams to run predictive models and engineer new features. Use these capabilities to build prescriptive maintenance models, remediating issues before they become problems.
  • Streamlined Data Refinery shortens time to insight by refining and enriching data at scale and automatically delivering users into the right reports and visualizations to drive decisions and outcomes.
  • Embedding Analytics brings customizable reports and analytics directly to the point of business impact, empowering them to make decisions quicker and with more accuracy.

How Companies Are Minimizing Downtime

Modernize and improve your organization by minimizing downtime. By setting up systems to prevent and predict downtime outages, your organization will save significant time and money, be more reliable and cost effective, and provide better service delivery.

  • Predictive and preventive maintenance apply predictive algorithms to determine arising system issues, preventing system outage and enabling the logistics team to plan with actual visibility into the health of their systems.
  • Prescriptive maintenance, accomplished by machine learning, trains models to identify factors that indicate failure with more sensitivity and accuracy.
  • Fleet management analytics empower businesses to optimize their fleet logistics, across all assets, vehicles, and personnel. The ability to be responsive in delivery or prediction in unexpected circumstances will save money, time, and resources.
  • Supply chain analytics provide comprehensive view of all assets powering your production or operational chain. With insight into how different factors work together, organizations will be able to be more efficient and accurate in logistics planning.