Best Process Mining Software for Qlik Cloud Analytics

IBM Process Mining allows organizations to identify business processes that could benefit the most from automation. It uses business system data to create an end-to-end process and visualize any bottlenecks or derivations that may be hidden in business processes. IBM Process Mining gives users an objective view of business processes and identifies areas where automation initiatives should be focused. It also allows users to create what-if scenarios to prioritize automation projects. IBM Process Mining is a foundational capability for IBM Cloud Paks for Automation. It finds the best process candidates for automation and calculates expected ROI. It also shows the impact of automation initiatives throughout the process before implementation.

mpmX is an innovative platform dedicated to modular process mining and process intelligence, designed to aid organizations in extracting, analyzing, visualizing, and optimizing intricate operational processes by interfacing directly with existing data systems like Qlik, Snowflake, and Databricks, thereby eliminating the need for data duplication or migration. By mining fragmented business data, it uncovers genuine process flows, interdependencies, inefficiencies, and bottlenecks, effectively merging business intelligence with process mining to allow teams to grasp both numerical KPIs and the fundamental workflows driving them, ultimately leading to the identification of root causes rather than merely addressing surface-level issues. Additionally, mpmX offers functionalities such as visual process mapping, dynamic filtering, time-based analysis, and multi-perspective process views, along with the capability for automated report generation, thereby empowering analysts and decision-makers to gain a comprehensive understanding of performance at scale and make informed strategic decisions.