Your Guide to Process Mining Success

In 2025, MEHRWERK has once again been positioned as a Leader in the Gartner® Magic Quadrant™ for Process Mining Platforms. This marks the third consecutive year that MEHRWERK has been positioned in the Leaders quadrant for its solution mpmX – based on its Ability to Execute and Completeness of Vision.

Discover how Process Mining is revolutionizing Lean Six Sigma! Traditional Six Sigma relies on static reports and manual data collection, but with Process Mining, you gain real-time insights, uncover hidden inefficiencies, and optimize processes dynamically. Learn how this powerful combination enables continuous improvement, predictive analytics, and smarter decision-making—setting a new standard for process excellence!

Digital Twins of Organizations (DTOs) are transforming how businesses understand, optimize, and simulate their operations. This blog reveals how DTOs work, why they’re crucial for AI adoption, and how Process Mining lays the foundation for data-driven decisions. Curious about the benefits and use cases? Read the full post to explore the future of business.

Returns are a critical success and cost factor in eCommerce. Process Mining brings transparency to return processes, revealing hidden costs, bottlenecks, and automation opportunities—leading to more efficient operations, improved customer satisfaction, and real competitive advantages for online retailers.

Object-Centric Process Mining (OCPM) takes process analysis to the next level by moving beyond isolated end-to-end views. It creates a comprehensive, object-centered model of all business activities, revealing dependencies and process interactions—enabling realistic, in-depth optimization across the organization.

Process Mining analyzes real business processes based on digital data—automated, transparent, and efficient. It uncovers weaknesses, optimizes workflows, boosts efficiency, supports compliance, and enables automation. Whether in production, customer service, or risk management, its applications are highly versatile.

Value Stream Mapping (VSM) analyzes value creation to reduce waste. Process Mining takes it further by automatically capturing real process data, revealing inefficiencies and deviations objectively and continuously – enabling data-driven optimization, full transparency, and sustainable process improvement.

Process Mining only works when processes are digital – and that’s just the beginning. To unlock its full potential, companies need clean data, clear process structures, and the right skill sets. But what about analog steps, data protection, or employee acceptance? And how do you even get started? Our latest article breaks it all down and shows what really matters for a successful implementation.

Insurance companies face pressure to digitalize due to rising customer expectations, new competitors, and cost constraints. This blog outlines the opportunities and challenges of digital transformation—and how process mining can help improve efficiency, customer experience, and data-driven decision-making.

The article explores how Process Mining can improve efficiency, automation, and compliance across various business areas. Real-world examples show its value in optimizing order processes, uncovering IT issues with Object-Centric Process Mining (OCPM), automating tasks, and supporting legal compliance.

Global crises strain supply chains, prompting companies to implement resilience strategies based on predictability, diversification, buffers, and technology. Tools like mpmX help reveal process weaknesses through data-driven analysis, enabling companies to enhance adaptability and build more resilient supply chains.

Cloud or on-premises? Insurers must choose the right IT strategy. This blog explores the pros and cons of both models regarding data security, cost, scalability, and control—and explains why many insurance companies are turning to hybrid solutions to enable flexible and secure digital operations.

Discover how combining Process Mining and Business Process Simulation (BPS) can revolutionize decision-making. Process Mining provides a data-driven understanding of current processes, while BPS models future scenarios to predict outcomes. Together, they empower businesses to identify inefficiencies, test "what-if" scenarios, and optimize processes with confidence. Unlock the potential of data-backed insights and simulation for smarter, more proactive decisions.

Rising CO₂ costs, stricter regulations, increasing pressure—companies are under growing climate-related scrutiny. Process Mining provides the transparency needed to reduce emissions effectively. Discover how data-driven process optimization and automation can benefit not only the environment but also your bottom line.

Automation needs more than just one tool: Our symbolic toolbox reveals the four essential tools required to successfully automate business processes – from measuring and analyzing to optimizing and executing actions. Curious which tools really matter? Dive into the full blog post to find out.

Process Mining complements traditional BPM by revealing real process flows and uncovering deviations from models. Together, they enable objective analysis, improved compliance, and ongoing process optimization—resulting in greater transparency, quality, and efficiency across organizations.

Process Mining brings transparency to the accounts payable process by revealing actual workflows and identifying optimization potential. It helps improve cash flow, payment behavior, and supplier relationships—based on reliable, contextualized data rather than isolated metrics.