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.
Main Features
Process Analyzer
The Process Analyzer offers a range of functionalities for the analysis of processes.
Change Display Direction
Change Display< Mode
- Further dimensions (turnover, costs, avg. lead time…)
- Thickness and color intensity of the edges indicate the value.
Filtering
- Event Filtering
- Transition Filtering
- Multiple filter selection possible
Display options
- Adjustable color scheme to match a company’s style guide.
Event and transition search
- Loop indicator
- Start and end node indicator
Target Process Comparison
- Instant identification of deviations
- Filtering options in target process
- Highlights target process events and transitions
Process complexity adjustment
- Slider for setting the number of variants displayed.
Variants Analyzer
The Variants Analyzer offers a range of functionalities to analyze process variants in a chevron chart.
Filtering
- Choosing a variant selects the particular data set
- Multiple selection possible
- Adjustable color scheme to match a company’s style guide
Variant figures
- Displayed in a tooltip when hovering over variant.
- Any existing ERP system data processable
Variants can be ordered by multiple user-defined measures
Events Analyzer
The Events Filter by process.science offers several options to filter process variants on event level.
Divided into three areas
- Events that trigger at least one other event
- Filter & settings area
- Events that are triggered by others
Benefits
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.
Iterative Implementation
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.
Cross-Platform Strategy
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.
Powerful Tool
A 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: Color and sorting options according to personal preferences.
SAP Processes & ROI
iVIEW Process Mining offers standardized, pre-defined ETL scripts for SAP Order2Cash and Purchase2Pay which enable users to analyze and enhance these critical processes, thus accelerating the rollout and maximizing the ROI.
Process Mining | BI Embedded Process Mining | Standard process mining (IBM / Microsoft) | Standard Process Mining (Celonis) | Standard Process Mining (Celonis) | Single data source for process views and KPIs | Single data source for process views and KPIs | Single data source for process views and KPIs | Single data source for process views and KPIs |
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