Data Quality Improvements

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In this case study, we explore an electricity distribution company that had data validation problems causing issues with subsequent reporting.


A New Zealand based electricity distribution company had data telemetry problems causing issues with subsequent reporting. This included data gaps (comms failures), spikes (switching noise), false zero’s (resets) and more.

They required a system to cleanse the raw telemetered PI data into validated, clean data streams that they could rely on. They turned to Dimension Software to provide a solution.


Dimension Software designed and developed a PI system solution to cleanse incoming data and store it into validated tags. False spikes, gaps and flatlines were detected via algorithms and removed.

Reporting provided SCADA engineers with the information they needed to be able to prioritise their remediation works.

David Barker

David Barker

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