Data Quality Assessment
Ensure the success and cost-effectiveness of your strategic projects through a data quality assessment that checks your data for its health, consistency, accuracy, completeness and fitness for purpose.
A comprehensive report card of your data quality
A Data Quality Assessment (DQA) is a process by which data cleansing and enrichment opportunities are identified to ensure that data is consistent, accurate, complete and fit for purpose. Importantly, it highlights critical pain points within an organisation’s Enterprise Asset Management (EAM) data and helps identify a path forward to improve data quality.
For asset-intensive organisations to succeed, data must be treated as a critical asset – it is the single biggest success factor in any digital transformation journey.
Having sound data stewardship enables organisations to make critical decisions about their EAM systems whether they are upgrading, migrating to a new vendor or in the process of considering the state of their data.
COSOL can help your organisation improve data quality ahead of any data migration project, which can reduce time, effort, cost and risk to the project. In addition, it can further strengthen the long-term capability of maintaining data quality once the project is complete.
COSOL offers an independent data quality assessment that focuses not only on the quantity and quality of the data being migrated, but the effort required to cleanse, transform and enrich the data ahead of migrating into the target system.
Your DQA report will provide a detailed analysis of data and provide insights into critical pain points to enable data owners to take action.
MULTIPLE EAM SYSTEMS COMPATIBILITY
Perform DQA across multiple versions of Ellipse and SAP to ensure accurate data migration recommendations.
Assess and understand overall data health through embedded PowerBI reporting platform.
ZERO IN ON WHAT’S IMPORTANT
Focus only on the objects that matter to you using the generated data object analysis.