Data Quality

Data quality can only be achieved through a combination of user empowerment and robust solution design. A properly implemented system should provide checks and balances on data coming from other systems as well as user manipulation and input. This imperative can result in a solution that disenfranchises users by removing their ability to ensure the quality and relevance of data; typically this is in the area of mapping and reconciliation.

ReportSource can provide a good deal of guidance on the configuration of systems to ensure that system managers and users of these systems remain in control of data quality, using the solution to 'management by exception'.

Data Quality Management

Data acquisition, integration and manipulation all require different approaches but, dealt with individually, they can contradict and obstruct the process of data quality management.

There are a number of common problems which ReportSource has proven solutions for:

• A pre-audit review of data quality which ensures that there are no hidden mappings or manipulation of data 'offline' which might cause issue during an audit.
• Reducing, or removing entirely, the delay often experienced while the business waits for a complex ETL tool or integration scrip to be re-written, to account for relatively minor changes in the business.
• Reducing the cost of expensive business users struggling with complex ETL tools.

Data quality has the potential to be a hidden issue. If you can't answer the following questions with ease, you may want to consider a conversation with one of our Principal Consultants, who can provide a road map to better data quality.

• How are mapping changes actually executed?

• What happens when the account structure changes?

• How long does it take to implement a change? What are the delays?

• Can this process be audited? Do you have hidden mapping formulas in spreadsheets?

• Who makes the changet? Are they the only person who can perform this function? Who else has visibility of mapping and data acquisition?

Discuss your Data Quality problems with one of our Data Quality experts......