AtScale
AtScale is a universal semantic layer platform that connects business users and AI agents to live cloud data for fast, governed analytics and decision-making.
Generate visual and actionable insights about your process from raw data in less than 5 minutes.
Disco is a process mining tool designed to transform raw event data into visual process maps, enabling users to quickly identify bottlenecks, deviations, and process variations. Built by process mining experts, Disco is optimized for speed and usability. Its efficient log management and filtering framework allows for rapid data processing and analysis. The software supports automated process discovery, detailed statistics, case exploration, and powerful filtering capabilities. Disco accepts data in various formats, including CSV, MS Excel, MXML, and XES, and supports the export of data and process maps. It provides features for project management, allowing users to manage multiple datasets and share insights. The tool requires Windows 8 or later and macOS 10.15 or later, with a recommended configuration of 2 GB RAM or more and a dual-core CPU.
Disco is a process mining tool designed to transform raw event data into visual process maps, enabling users to quickly identify bottlenecks, deviations, and process variations.
Explore all tools that specialize in process discovery. This domain focus ensures Disco delivers optimized results for this specific requirement.
Explore all tools that specialize in bottleneck analysis. This domain focus ensures Disco delivers optimized results for this specific requirement.
Explore all tools that specialize in deviation detection. This domain focus ensures Disco delivers optimized results for this specific requirement.
Explore all tools that specialize in performance optimization. This domain focus ensures Disco delivers optimized results for this specific requirement.
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AtScale is a universal semantic layer platform that connects business users and AI agents to live cloud data for fast, governed analytics and decision-making.

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