with what-if analysis scenario planning

The budgeting process in the retail and business banking is time consuming, inaccurate. Different business units have varying ways of calculating different financial metrics, which results in inconsistencies that the central team has to fix. The financial models are not set up optimally for testing hypothesis, resulting in the team having to manually create many versions of Excel files that are prone to error.

with Microsoft AX Dynamics

The medium-sized manufacturing company acquired multiple businesses around the world, which all have different ERP systems. The finance team spends a tremendous amount of manual effort every month to create the consolidated management report. The legacy ERP system was inflexible, resulting in frustration, loss of time and many manual errors are crept in due to the high friction technology environment.

with theimplementation of a cloud-based debt prioritisation solution

Thousands of medical cases are processed by large health care providers each day. The majority of these cases need to be settled through medical aids or privately by the patients themselves. Often cases can take up to 3 years to finalise. This is an area that had significant potential to improve through data-driven solutions and automation.

to improve billing accuracy and consistency

The ability to provide accurate invoicing for patient stays in hospital is a significant challenge for the health care industry. Inaccurate billing often results in unpaid claims from medical aids or patient dissatisfaction and a poor patient experience.