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 asset management 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.

Data Migration Approach Recommendations

A best-practice data migration approach is delivered within the DQA report based on COSOL’s data migration methodology based on over 20 years' experience.

This enables asset-intensive organisations to gain insights into how they can plan the migration of specific data objects based on best practice.

Key Performance Indicators (KPI's) Stored In Client's RPConnect Instance

Once the data quality KPIs have been generated for the DQA, these remain within the client's instance of RPConnect. This allows the organisation to use these KPIs as the baseline for their reporting throughout a migration project.

After these baseline KPIs have been deployed, the organisation can build upon these to track data remediation throughout the project.

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Data quality myths and misconceptions

[primary_category] | May 12, 2022A recent Gartner report confirmed that every year, poor data quality costs organisations an average US $12.9 million and highlighted that in addition to the immediate impact on revenue, over the long term, poor quality data increases the complexity of data ecosystems and leads to poor decision making. Despite this, some organisations prioritise technology solutions or systems upgrades

How to achieve a successful Merger or Acquisition data migration

Merging data landscapes following a Merger or Acquisition (M&A) is a complex business undertaking. Therefore, it’s essential to understand the impact of the merger on your entire data landscape and systems infrastructure early in the process.

ACTION-FOCUSED REPORT
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.

SINGLE-PANE REPORTING
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.