With the SR27 release, ARIS Process Mining introduces several powerful new features that elevate process analysis, KPI creation, and data extraction capabilities. These updates address key improvements and expand the range of insights available to both technical and non-technical users. Here’s an overview of what you can now accomplish with these features.
1. Enhanced Scripted Measures
The Problem
Previously, users couldn’t perform KPI calculations across aggregated data effectively but could get insights to case-level analysis. Essential KPIs often require calculations across multiple cases or aggregated dimensions, but users had to rely on manual workarounds.
The Solution
With SR27, the new enhanced scripted measures allow for defining calculations over aggregated data (e.g., sum, average). This flexibility provides richer and more granular analysis, enabling users to design custom KPIs that reflect specific performance metrics.
Key Functionalities
- Define calculations based on existing metrics
- Display calculated values as columns in the analysis view for easy comparison and detailed assessment.
Benefits
- Enhanced KPI Creation: Develop complex KPIs requiring case aggregation, expanding analysis depth.
- Better Decision-Making: High-level indicators make strategic choices clearer and better-informed.
Example Use Case
A user analysing purchase order performance across regions can now aggregate order data by region, quickly comparing performance.
2. ARIS Companion Advancement:
The Problem
Non-technical business users often find it challenging to access specific insights without relying on data experts or complex setups. This can delay timely analysis and inhibit data-driven decision-making.
The Solution
The SR27 update introduces a natural language interface for the Companion chatbot, enabling users to query process insights in everyday language. Powered by GenAI, the chatbot interprets questions and generates relevant responses, including summary metrics or trend charts, based on the existing analysis data.
Functionality
- Users ask questions like “What was the average cycle time in Germany over the past year?” and receive immediate, visual responses.
- Responses include data visualizations, such as line charts or summaries, that pull directly from existing process data.
Benefits
- Process Insight Democratization: Makes in-depth insights accessible to all users, regardless of technical skill.
- Reduced Dependency on Experts: Business users can independently obtain insights, reducing wait times.
- Quick, Contextual Access to Insights: On-demand responses streamline access to specific process metrics.
3. HTTP Data Extraction
The Problem
Data extraction from cloud applications has required third-party tools, adding extra steps and dependencies for users needing to integrate external data into ARIS Process Mining.
The Solution
SR27’s native HTTP data extractor capability allows users to define their own data extraction logic, directly within ARIS Process Mining. By setting up custom rules and mapping data fields, users can now pull information from cloud sources without needing external tools.
Key Functionalities
- Custom Extraction Logic: Create rules for extracting specific data from HTTP endpoints.
- Basic Data Mapping: Align extracted data (data type mapping is automatic) ensuring compatibility for analysis.
Benefits
- Enhanced Data Accessibility: Perform data extraction within APM, removing the need for external tools.
- Increased Flexibility: Adapt data extraction to suit individual requirements, tailoring data integration to specific use cases.
Availability with SR27 Release
These features in SR27 bring enhanced functionality to ARIS Process Mining, empowering users to go deeper into their data, create advanced KPIs, and interact more naturally with their insights. With these updates, ARIS continues to push the boundaries of what process mining can offer to data engineers, analysts, and business users alike.
