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Use Cases Overview

This section showcases real-world use cases and case studies demonstrating how the Ona Intelligence Layer is used to solve complex problems and deliver measurable business value. These stories are designed for Decision Makers and Beginners who want to understand the practical applications of our technology and see concrete examples of ROI and operational improvements.

Each use case demonstrates different aspects of our platform, from achieving high forecast accuracy with limited data to maintaining operations during data outages, and unifying intelligence across multiple stakeholders for portfolio-wide optimization.

Quick Start

To understand how our platform delivers value, start with the Sibaya Casino case study, which demonstrates achieving high forecast accuracy with limited historical data. This example shows how our generic models can provide immediate value even for new installations.

What You Can Find Here

Sibaya Casino

A case study demonstrating how we achieved high forecast accuracy with limited historical data. This example shows the power of our generic models and data standardization pipeline, delivering accurate predictions even when historical data is sparse or incomplete.

Read Case Study →

Cummins Portfolio

Learn how we maintained operational continuity despite severe data loss. This case study demonstrates our platform's resilience and ability to continue generating accurate forecasts even when primary data sources fail, ensuring business operations remain uninterrupted.

Read Case Study →

Avaron Infrastructure

Discover how we unified intelligence across multiple stakeholders for portfolio-wide optimization. This example shows how our platform enables collaboration and data sharing across organizations, delivering value at both the asset and portfolio levels.

Read Case Study →

Use Case Categories

Our use cases demonstrate value across several key areas:

Forecast Accuracy

Learn how different organizations achieve high forecast accuracy using our platform, even with challenging data conditions. These examples show how proper data preparation and model selection lead to superior results.

Operational Resilience

See how our platform maintains operations during data outages, equipment failures, and other disruptions. These case studies demonstrate the value of redundant data sources and robust error handling.

Portfolio Optimization

Discover how organizations scale operations across hundreds of sites, identifying outliers, optimizing maintenance schedules, and streamlining reporting. These examples show the power of portfolio-wide analytics.

Business Value

Understand the ROI and business impact of implementing our platform, including reduced operational costs, improved maintenance planning, and better energy trading decisions.

These case studies are frequently referenced:

Next Steps

Now that you’ve seen our use cases:

  1. Read Case Studies: Explore individual use cases to understand specific applications
  2. Get Started: Try our Get Started guide to experience the platform yourself
  3. Review Guides: Check out our Guides for step-by-step instructions
  4. Contact Us: Reach out to our team to discuss your specific use case

See Also