Data Quality Accelerator - Key features
The Data Quality Accelerator is the solution to get a grip on data quality within portfolio tools. With DQA, organizations can standardize, improve and gain insight into data. See below the key features with which the Data Quality Accelerator can help you.
5 structured phases
Reliable data is essential for efficient processes and well-founded decisions. With a streamlined process in five steps, we ensure continuous monitoring and optimization of data quality.
1. Automatic periodic checking of work item data
The DQA periodically checks the entire dataset within Azure DevOps, Jira, ServiceNow or Xeleron Cockpit for data quality. The tool identifies missing data, detects content quality issues and highlights risks such as dependencies and out-of-sync work items. The analysis is based on customer-specific business rules, so that the assessment is aligned with the needs and standards of the organization.
2. Extensive reporting on data quality
The DQA generates both aggregated reports for a global view and detailed reports per work item.">">Reports can be filtered by work item type, date, owner and other relevant criteria. In addition, specific reports are available for management, portfolio management, PMO and work item owners.
3. Automatic messages to work item owners
<span data-metadata="">">">The DQA sends personalized emails to work item owners.">">Each email contains a qualification of the data quality, an improvement ambition and a call to action.">">With one click the user gets direct access to a personalized overview in the DQA.
4. DQA AI advises on how data quality can be further improved
The DQA shows which items require improvement and based on which criteria. The tool provides, using AI, concrete recommendations for supplementing and improving data. Users can correct data directly and easily within the DQA.
5. Direct feedback on the improvements
The DQA immediately performs a new validation after adjustments and checks whether the data meets the established criteria. The validation provides immediate insight into whether further adjustments are necessary.
