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Any decision is only as good as the facts and figures on which it is based.
The quality of your data has a lasting impact on your company's success. Anyone who underestimates its importance risks not only costly error corrections and dissatisfied customers, but also potential financial losses. In the age of artificial intelligence (AI), this aspect is becoming even more important: how intelligent an AI actually is depends on the data it is trained with. Only with customized data can you achieve accurate, reliable results that offer your company real added value.
For NAVAX, as a provider of various product lines for your credit, leasing, or factoring business, it is of utmost importance to offer you consistent data and to comply with legal requirements, especially those relating to data protection (GDPR), when using it. NAVAX solutions offer you a comprehensive data model that you can expand individually as needed. This maps your entire business – with information that is necessary for initiation, decision-making, and "management" throughout the course of the contractual relationship with your customers.
In order not to impair the performance of your current production system with extensive analyses or evaluations, we provide our customers with a specific data warehouse (and operate it on request, as well as the core solution). With (preferably) Power BI, the market-leading tool from Microsoft, it is easy to create standard reports that are regularly made available to a defined group of people, or to run ad hoc evaluations – entirely according to your information needs. Interactive visualizations and other business analysis functions can be designed just as quickly as meaningful reports and clear dashboards using a graphical interface that Excel users can quickly grasp. Based on the uniform and quality-assured database, every user can gain an overview of business development, e.g., from a controlling perspective. An essential task for the customer is to ensure that data is always up to date – especially as a basis for future AI support, e.g., for everything that AI recognizes faster than humans due to the wealth of data: noticeable outliers (possibly input errors), increased activity (possibly customer dissatisfaction or declining customer loyalty), late payments (possibly weaker creditworthiness) or changes in information/payment behavior (possibly fraud), and much more ...
