RippleDown™ Auditor
Data quality has always caused problems for company databases. In the past a fairly low standard of data quality was considered acceptable in operational applications. Key data was corrected retrospectively, or expensive processes were put in place to improve accuracy at data entry level. Unimportant data was not considered for quality improvements. Today we are finding new uses for data, creating increasing responsibilities and generating a growing demand for accurate data.
Our data management software, RippleDown™ Auditor, can be deployed in any environment where high-throughput data entry occurs and where the impact of data entry errors on operations presents a high risk to the organisation. RippleDown™ Auditor permits real time quality auditing processes to be applied wherever decision-making relies on data input.
“Rippledown™Auditor quickly becomes the main stay of quality control, quality audit and quality improvement within the data entry section of your organisation” Tony Sun, Malaysian Airlines
RippleDown™ Auditor is designed to receive a copy of the filed data at the completion of data entry. The knowledge base reviews the details to ensure that all business rules are met for subsequent processing. Where doubt arises due to inconsistencies, RippleDown™ Auditor flags the case and places it in a queue to be reviewed by operational experts. Features include:
- Able to analyse data in real time at the point of committing data to the database
- Highly customisable to provide sector and domain-specific quality audit capability
- Applies multiple review flags on a single data entry, where multiple possible errors occur
- Directs errors to relevant individuals Eg: billing errors to accounts, demographic errors to the front office, testing errors to the laboratory manager
- Maintained by the subject matter expert with no need to rely on the IT department
- A highly sophisticated system, yet simple to use
Organisations deploying RippleDown™ Auditor have used it to remove dependencies on repetitive and labour intensive manual processes.
- Generates cost savings by eliminating “re-work”, manual checking and reprocessing of data.
- An efficient implementation phase, involving the end user/ subject matter expert.
- Staff are released from repetitive tasks to focus on essential activities.
- Knowledge retention is protected, creating huge savings to the company during staff transition periods.