Data Quality

Ensure Only Quality Data is Used in Process Simulation

Data sources integrated with the brains.app platform are organized into a connected virtual asset and metric structure. These digital assets are presented as sets of configurable models associated with a specific operational process.

IntelliSense.io Data Quality Model filters the data of varying resolutions both practically and statistically to ensures only quality data is used in process simulation.

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Made for Your Mining Challenges

Limited Ability to Assess Data Quality

Time is often wasted dealing with multiple versions of data circulating in various systems, spreadsheets, and paper-based processes where insights and value could be generated.

Due to mining’s harsh environment, data can often be lost when sensors are damaged or go out of calibration.

How it Helps

Ensure Only Quality Data is Used in Process Optimization

Data quality is reported in the system to help identify data issues and ensure that models are applied to high-quality data that generates robust outputs and recommendations.

Automatic ingestion and manual upload from sources are available for holistic reporting and process improvements.

What you Get

Better Decision-Making Based on Reliable Data

Enable better operational decisions through the use of a single consolidated source of trusted data, and gain insight into the mine and plant processes at a more granular level.

Deliver strategic responses to issues in real time.

brains.app Platform in Action

The brains.app platform has been developed and refined over several years at multiple customer sites, creating an ‘out-of-the-box’ product that can be rapidly deployed to deliver value within weeks.

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