Business Intelligence – ProBI

Use your company data for better decisions

ProBI is the Business Intelligence solution which enables the analysis of workforce management issues based on the data contained in ProMark.

With the use of ProBI, data from absence registrations, project registrations and overtime calculation can be delivered into a data warehouse. This allows the company to analyse and process the data in a spreadsheet or another tool. The company can see its data from a helicopter perspective or dive into details as needed.

Additionally, ProBI can deliver data cubes which can be combined with other company data and analysed in the company’s own Business Intelligence environment. It allows to compile ProMark data with other company data and analyse them more profoundly across systems.

ProBI - use your company data for better decisions

Large quantities of data, fast!

Through ProBI, companies can get a clear overview of the valuable data contained in ProMark, and can exploit this to analyse:

  • Reasons for absence, breakdown on employee types, countries, divisions and departments as well as periods during which absence was particularly noticeable
  • Overtime and expenses across the organisation
  • Efficiency on orders and operations as well as on employees and workflows
  • Follow-up on projects with dimensions and organisational hierarchy

Finally, ProBI can even be used to get a better overview in connection with cleaning up various profiles in ProMark.

Overview, insight and better decisions

Through ProBI, companies can get a visual overview of large quantities of data enabling them to analyse data more closely whenever they want. Data and reports can be compiled as required to get detailed insight into the business.

Analysing absence, for instance, gives companies a rapid and invaluable overview of the scope of their challenges, and highlights areas where action might be required.

In short, ProBI effectively ensures that data becomes available according to needs and relevant situations – and therefore can be used actively as a basis for fact-based decision-making.