Lucas M. Schroth and Urszula Jessen founded Process.Science to address inefficiencies in traditional data analysis. The company utilizes an AI-powered process mining platform that integrates seamlessly with business intelligence tools. This innovative idea allows companies to analyze and optimize their processes with real-time results rather than relying on subjective interviews.
AI and data mining are essential in the modern workplace, especially as the world becomes increasingly digital. The AI-driven automated mining replaces traditional, antiquated manual analyses with data-driven computerized insights. The new process mining procedure saves companies time and money and allows them to see problems in their systems before they become critical.
Mining Data With AI
Processing data with AI-powered mining means using AI algorithms to analyze large amounts of data from an organization’s system. The data reveals how people work within the process—as processes are mainly about the people—and identifies bottlenecks, inefficiencies, and potential areas for improvement. The data in the system is used to see how people worked with it and performed the processes. Mining information from operational data optimizes workflow, and AI automation provides valuable insights in real-time. Process.Science simplifies the method with its “plug and play” approach, drastically reducing setup time and making information mining more accessible and actionable for businesses.
Extracting event data from relevant systems helps companies identify key performance indicators and provides insights into problematic areas. Improving these areas is a cost- and time-efficient strategy that increases overall workflow and efficiency in the organization. The Process Mining Software by Process.Science simplifies this using proprietary AI-Powered Process Optimization. The automated system pores through reams of data that used to be executed manually, costing organizations resources and time.
Process.Science
Lucas and Urszula founded their data mining company because of their background as SAP consultants. They were limited to carrying out analyses manually and interviewing process participants. This manual method led to subjective results where essential data was missing. They knew there had to be a better way to achieve this monumental task and Process.Science was born.
The company’s AI-powered data mining technology integrates directly into business intelligence tools, providing rapid insights with minimal implementation time. The company was founded just before the COVID-19 pandemic, and the young founders faced skepticism from established corporations. Along with market barriers, they had to quickly strategize their plan to adapt to the pandemic and its restrictions.
Accolades
In only a few short years, Process.Science has established a global market across Europe, North America, India, and Australia. Along with this global establishment, the young company has secured partnerships with DAX and S&P 500 corporations and collaborated with top universities to integrate modern research into the technology. Their team of experts includes PhD-level professionals specializing in data mining and AI.
The proprietary technology includes AI-powered mining solutions that integrate with business intelligence tools, which is the first to accomplish this in the industry. The young company is recognized as a leading process mining solution provider in the DACH region. Future aspirations include becoming a leader in their established markets and focusing on expanding into the North American market, specifically the USA, where the founders plan on establishing an office for operations.
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