DataFrame Featured in Reliabilityweb.com Publication

NEWS


DataFrame enables infrastructure organisations to understand the impact of data quality on their asset management strategies like never before. In December 2023, DataFrame was featured in Reliabilityweb.com’s Uptime Bookazine, a leading US publication for reliability leaders and asset managers.

The article addresses the risks that poor data quality present when managing high criticality infrastructure assets. A framework for asset information governance is provided which ensures strategic alignment of asset information management with the asset management objectives stated in the organisation’s Strategic Asset Management Plan.

A step-by-step process for linking asset management processes with the data and information they consume is outlined. This enables automated and manual data quality checks to be implemented, to provide continual monitoring of data health. An Asset Information Governance Committee composed of data consumers and custodians can then make informed decisions about improvements.

Find out more in the full article available here.

Previous
Previous

Webinar: Data Quality for the Water Sector

Next
Next

Webinar: Data Quality for the Electricity Supply Industry