process.science

process.science is a Process Mining tool designed to integrate with Power BI and Qlik Sense. According to the vendor, this tool provides medium-sized companies with real-time process transparency, allowing professionals such as business and data analysts, process improvement specialists, operations managers, and supply chain managers to identify outliers and improvement potentials. By visualizing process flows, process.science aims to support data-driven decision-making and optimize processes across various industries.

Key Features

Real-time process transparency: According to the vendor, process.science offers real-time visualization of business processes, enabling users to identify outliers and improvement potentials in a timely manner. The vendor claims that this feature can help improve lead times, reduce costs, enhance quality, and mitigate commercial risks.

Intuitive visualization of outliers: process.science provides intuitive graphical representations of process flows, which, according to the vendor, can help users identify areas of inefficiency and bottlenecks. This visualization capability aims to support users in identifying opportunities for process improvement and making data-driven decisions.

Simple integration with Power BI and Qlik Sense: The vendor states that process.science seamlessly integrates with Microsoft Power BI and Qlik Sense, eliminating the need for a complicated stand-alone solution or additional system setup. The vendor claims that the implementation of process.science is minimal effort and risk-free, allowing for automated real-time process analysis within existing BI systems.

Objective analysis based on existing data: process.science analyzes existing data from IT systems to provide an objective understanding of business processes. According to the vendor, this eliminates subjective estimations and biases, enabling users to make data-driven insights for effective process improvement.

Process transparency and target process comparison: process.science compares target processes with actual processes, aiming to help users identify deviations and make necessary adjustments and corrections. The vendor claims that this feature supports the synchronization of processes across business units and production facilities, providing a neutral and 1:1 comparable view of processes.

Cash flow overview and optimization: According to the vendor, process.science provides an overview of monetary flows and durations, allowing users to identify optimization potential in customer transactions. The vendor states that process.science also compares margins of products and contracts, as well as reviews payment times and inventory turnover rates, for effective financial management.

Cost and profit optimization: process.science aims to identify problems and intervene before they become expensive. According to the vendor, it measures supplier performance and internal KPIs, identifies products with low turnover rates, and considers production costs and lead times for efficient cost and profit optimization.

Compliance violations detection: According to the vendor, process.science ensures adherence to internal and external guidelines by identifying and addressing process sequences that deviate from standards. The vendor claims that this feature helps avoid risks, maintain compliance, and detects discrepancies from target processes.

Team efficiency analysis: process.science measures and compares lead times, turnover development, and order registration frequencies to help users identify areas for improvement and synergy potentials. According to the vendor, this feature aims to optimize team performance, reduce double work, and monitor key figures to identify outliers.

Product analysis and root cause analysis: process.science aims to identify troublemakers in the product portfolio by analyzing return rates, production times, and margin assortments. The vendor claims that it can determine products sold by staff preferences and conduct automated root cause analyses for effective product management.