About us
The true state of your processes usually remains invisible. Discover now how process mining closes this gap!
Achieve maximum efficiency and secure your ROI by eliminating bottlenecks, rework, and hidden costs based on facts.
Imagine if you could take a digital X-ray view of your entire business processes— every single step, every bottleneck, and every deviation — and uncover them in a transparent and fact-based way. That's exactly what process mining enables.
Process mining is a strategic tool that provides process owners with an objective data basis for realizing massive efficiency gains and thus securing a sustainable return on investment (ROI).
The origins of process mining date back to the late 1990s and are closely linked to the name Wil van der Aalst (Dutch computer scientist), who recognized the immensepotential in digital traces. Process mining has developed into an independent field of research at the interface between information systems and data science. The IEEE Task Force on Process Mining plays a central role in standardizing methods and promoting research.
Clarity about positioning is crucial. Process mining bridges the gap between theoretical models and the data world:
Discipline | Focus and objectives Relationship to process mining |
|---|---|
Process Mining | Reconstruction of the actual model based on event logs to identify inefficiencies. This is the central analytical method that takes data from the systems and forms the basis for all further decisions. |
Business Process Management (BPM) | Modeling and control of processes. Creates the target model (how processes should ideally run). Process mining provides the objective facts (the actual model) that serve as a sound basis for strategic BPM decisions. |
Data mining | Pattern recognition in large, arbitrary data sets. Focuses on correlations and general predictions. Process mining is a specialized form of data mining that focuses exclusively on the analysis of process-related event logs in order to focus on the sequence and time component. |
The entire methodology of process mining software is based on so-called event logs.
A log is the digital fingerprint of a process that is extracted from IT systems(e.g., ERP, CRM) and must contain at least three pieces of information: case number (case ID), activity, and timestamp.
Process mining software uses algorithms to link these individual events chronologically via the case number. The analysis is divided into three in-depth, sequential phases:
For decision-makers, the choice of process mining software and its integration into the existing IT landscape is crucial for cost-effectiveness. The trend is clearly toward the use of existing business intelligence (BI) environments.
With Power BI Process Mining, the process mining logic is integrated directly into Power BI. This allows users to seamlessly link the process graphs to their existing BI dashboards and KPIs. The result is a highly flexible solution that combines the process transparency and reporting power of Power BI.
The situation is similar with integration into the Qlik Sense environment. Process mining solutions for Qlik Sense use Qlik's in-memory capabilities to analyze processes quickly. Process mining for Qlik Sense offers a highly efficient, exploratory analysis option that makes optimal use of the existing Qlik Sense infrastructure.
For you as a decision-maker, the direct return on investment (ROI) of the software purchase is what counts most.
Investing in process mining is a strategic tool that achieves massive efficiency gains across the entire organization by revealing hidden costs.
Process area | Direct benefits & savings potential |
|---|---|
Purchasing (P2P) | Utilization of discounts through accelerated invoice verification. Avoidance of maverick buying (uncontrolled purchasing) and reduction of manual rework. |
Sales (O2C) | Accelerated order throughout times (faster invoicing). Reduction of errors that later require costly corrections. |
Finance & Compliance | Automatic identification of compliance violations and unauthorized postings in information systems. Reduction of audit effort. |
IT Service | Shortening of ticket processing times (MTTR). Optimization of resource utilization in support, based on analysis of event logs. |
Strategic BPM | Process mining software provides objective data to successfully manage business process management (BPM) initiatives in a measurable and fact-based manner. |
As a decision-maker, you need to ensure that the process mining software you choose is not only powerful, but also economically superior and future-proof. With its unique, state-of-the-art BI integration, the Process.Science solution offers a clear competitive advantage over expensive, proprietary isolated solutions.
Process.Science provides you with not only process mining, but also a superior overall strategy. We help you quantify the savings potential for your company and prove why our BI-integrated solution is the best choice for maximum process efficiency and minimum risk.
Start a dialogue with us now and let us guide you through a demo version. We will show you the process mining solution that protects your investments and revolutionizes your processes.
Process.Science is an in dependent consulting firm specializing in process mining, data-based process analysis, and digital transformation.
Process mining analyzes event logs from IT systems to create an objective model of your processes as they currently exist. It combines data science with process management (BPM) and is more focused than general data mining.
It reduces costs by avoiding maverick buying and rework. By uncovering bottlenecks, it secures cash discounts and accelerates invoicing (order-to-cash).
The analysis consists of: discovery (visualizing the model), conformance checking (checking for rule violations), and enhancement (identifying potential for process improvement).
It lowers the TCO because it uses your existing BI licenses (Power BI/Qlik Sense). This saves new infrastructure costs and guarantees rapid acceptance by the team.
The software requires event logs from your IT systems. Each event must contain at least the case ID, the activity, and the exact timestamp.