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Reducing Equipment Failure Cost with Predictive Analytics (HVAC)

Impact Delivered

  • 30% Reduction in failure-related costs
  • 35% Fewer unplanned outages
  • 40% Faster maintenance decisions
  • 25% Higher customer satisfaction
  • The Customer

    The Customer

    A very large HVAC company (Abu Dhabi) needing to understand year-over-year equipment failure cost and forecast costs for the next 30 years, while empowering analysts/scientists with self-serve advanced analytics.

  • The Challenge

    The Challenge

    3D-Priniting-Challenges-Img.jpg
    • Complex, time-consuming manual analytics with limited collaboration
    • Hard to unify data and extract value across sources
    • Difficulty scaling use cases and generating timely insights
    • Need to keep customers loyal through higher reliability
  • The Solution

    The Solution

    the-solution-img_nextiva.jpg

    Deploy predictive cost and reliability analytics with alerting:

    • Build intuitive analytical app and workflows for financial-impact forecasting
    • Consolidate multisource data; engineer features; train ML models
    • Provide forecasting notifications to drive proactive maintenance and allocation
  • Solution Components

    Solution Components

    Data Lake, ML Framework, Orchestration and BI Tools

  • The Results

    The Results

    • Proactive asset-risk management and cost control
    • Automated analytics for repeatable use cases
    • Better allocation of maintenance resources
    • Improved customer experience through reliability

Impact Delivered

  • 30% Reduction in failure-related costs
  • 35% Fewer unplanned outages
  • 40% Faster maintenance decisions
  • 25% Higher customer satisfaction

The Customer

A very large HVAC company (Abu Dhabi) needing to understand year-over-year equipment failure cost and forecast costs for the next 30 years, while empowering analysts/scientists with self-serve advanced analytics.

The Challenge

3D-Priniting-Challenges-Img.jpg
  • Complex, time-consuming manual analytics with limited collaboration
  • Hard to unify data and extract value across sources
  • Difficulty scaling use cases and generating timely insights
  • Need to keep customers loyal through higher reliability

The Solution

the-solution-img_nextiva.jpg

Deploy predictive cost and reliability analytics with alerting:

  • Build intuitive analytical app and workflows for financial-impact forecasting
  • Consolidate multisource data; engineer features; train ML models
  • Provide forecasting notifications to drive proactive maintenance and allocation

Solution Components

Data Lake, ML Framework, Orchestration and BI Tools

The Results

  • Proactive asset-risk management and cost control
  • Automated analytics for repeatable use cases
  • Better allocation of maintenance resources
  • Improved customer experience through reliability
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