Understand processes and use insights
to optimize operations
Process mining uses event logs generated by information systems to reconstruct the actual process flows. This allows businesses to identify bottlenecks, inefficiencies, and other issues that may be hindering operations. By analyzing the event logs, process mining can also reveal the underlying causes of process deviations, enabling businesses to address the root causes of problems.
By using iVIEW.process mining in conjunction with BI tools such as Qlik Sense or Power BI, businesses can gain a comprehensive understanding of their processes and use the insights generated to optimize their operations. This can lead to increased efficiency, reduced costs, and improved customer satisfaction.
Save Time & Resources
No need for a separate process mining system which can save time and resources. There are no duplicate implementation efforts for two separate systems, which could require additional training and data inconsistencies.
Building on existing data analytics applications like Qlik sense and Microsoft Power BI and gradually incorporating process perspectives over time. The BI system is not replaced but enhanced. Know-how and (online) support for Power BI and Qlik Sense are quickly available.
Secure Access Management
iVIEW.process mining uses the BI tool for authentication and as authorisation concept. These can be extended to include further user groups and access rights; no additional infrastructure required. Data security is ensured through the use of proven BI systems; no introduction of new security risks.
Many companies use multiple BI tools, depending on the preferences and requirements of a department or business unit. iVIEW.process mining is not tied to a specific tool. Connection to Power BI and Qlik Sense possible. The data remains in the data source or BI tool, so future consolidation and migration are easy.
Use of a specific data model for a specific BI system increases performance. Data model can be extended with new data sets at any time. Existing and new data sets can be combined without new set-up. Multi event log: Simultaneous representation of processes at different levels of granularity. Customizable layout: Colour and sorting options according to personal preferences.