Main function of data analysis & reporting systems (sub-systems) is to deliver necessary information to the right persons, at the right time and with the right content.

Problem is that companies have a lot of information, which is not used in an efficient way. We could help to companies to create needed data model to increase usage of the information, increase efficiency and spread needed indicators across the company.

There are different ways to prepare and / or access information, e.g.: simple reports, ad-hoc reports, dashboard portals (monitoring of KPI – Key Performance Indicators).

Finance Engineering offer design, development and / or maintenance services for various reporting systems, having different level of complexity.

Practice shows very good results when all companies employees have the right information in the right time – it helps to create self-control systems. When data model is set – the there is a possibility to perform business planning more accurate, detailed or control expenses.

Machine learning methods could be used to automatize some functions or predict future more accurately. Data could be classified and presented for the user – in other make data driven decisions. Examples could be:

• In which segments tariffs should be increased to get more profit with low probability to lose clients?
• What is current business perspective – do we have profit in the future? Do we have good cash-flows in the future?
• How many goods we have to order by minimizing associated risks (like over-stock or under stock)?
• Where business planning needs to be improved to be more accurate?

We have created IT solutions FERM (for Risk management, Pricing), FEFM (for Finance management) which could help to assess the current Company data model and make recommendations how data model could be improved for business needs.

Our technological skills: