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Activities associated with the manual reconciliation of accounting transactions (for example, those relating to retail takings) often require a considerable use of human resources. Companies are looking for solutions to improve the efficiency of the process by automating it as much as possible.
Envision a system that adapts to different application contexts and which:
Match-up is an advanced tool for the analysis, reconciliation and matching of complex data (single and/or multiple).
The use of this tool finds application in data-related processes which:
Ease of use; Independence from platforms; Flexibility of the usage model (cloud-based or residing on the company’s servers); Information enrichment to support reconciliations; Alternative actions or proposals (reconciliation proposals or recommendations reports); Taxonomy of rules (simple, medium and complex) and data robotics.
The reconciliation process requires substantial human resources commitments in what can be a manual application of rules:
Match-up is the value added solution in terms of:
Match-up is an application designed to support reconciliation tasks. The reconciliation program can be run either in automatic or manual mode. This means that, if necessary, the user will have the option to manually import new transactions in the system and immediately request the generation of new proposals, without depending on the defined planning. Depending on whether they are simple or complex, the proposals may be validated or not confirmed by the user. The user can use the application to generate detailed reports and KPIs for monitoring reconciliations. Moreover, using the data robot, the user can launch an analysis of residual unreconciled transactions, in which proposed new match-ups will be processed.
The architecture consists of the following technical components:
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