Media
Problems with Inconsistent Data Foundations
Problems with Inconsistent Data Foundations
Has poor multi-level Data Quality become an Excessive Tax burdening your Assets and Operations?
Has poor multi-level Data Quality become an Excessive Tax burdening your Assets and Operations?
Multi-level consistent Data Quality is the key metric for assessing asset and production success or loss and is essential for identifying areas where improvements can be made in terms of efficiency, quality, and cost reduction. Accurate metrics help organisations pinpoint the sources of any loss and enables them to work toward minimising such loss.
In effect, poor data quality is an additional Tax on your organisation.
The Data Quality Tax can be mitigated via proven Governance Methodologies (see ODBOK.cloud) or via Diriger’s DQM technologies like our AI / ML-based Interoperability Platform and Automated Processes such as Management of Change coupled with our extensive Subject Matter Expertise.
Contact Us for more information.