Process Mining in HR

Speed up processes and increase the strategic effectiveness

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Process Mining in HR – for smart HR management

HR departments face a variety of challenges that significantly limit their strategic effectiveness. Time-consuming administrative tasks such as manual data entry, updating employee information and processing routine inquiries tie up valuable resources that are lacking in strategic HR work. The often fragmented data and document management also represents an obstacle to the efficient processing of various activities. In many HR departments, employee information is still stored in physical files, scattered spreadsheets or across multiple applications, making it difficult to access relevant data and increasing the risk of compliance violations.

Process Mining in HR offers an innovative, data-driven approach to solving these problems. The technology makes it possible to reconstruct, analyze and optimize actual business processes based on digital traces in IT systems. By systematically evaluating event logs from various HR systems, Process Mining creates transparency across complicated, cross-departmental processes. The method provides an objective, data-based view of actual process flows and enables HR teams to eliminate inefficiencies and bottlenecks. The transparency gained is of enormous value: it creates scope for strategic initiatives and ensures greater efficiency all round.

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Process Mining in HR management: basics and challenges

Process Mining is an innovative technology at the interface between data science and process management that is based on the systematic analysis of so-called event logs. These digital traces are created during the execution of business processes in IT systems and contain valuable information such as time stamps, process steps and processing paths. Process Mining tools transform this raw data into meaningful, easy-to-understand process models and visualize the real processes. Unlike conventional analysis methods, Process Mining reveals how processes really work in practice. This objective, data-based view makes it possible to uncover deviations, inefficiencies and bottlenecks that would go unnoticed in day-to-day operations. The method is becoming increasingly important in various sectors: Process Mining is becoming more and more essential in production, but is also increasingly being used to optimize processes in the energy industry.

Despite the potential, implementing Process Mining in HR is not always easy. HR departments typically use a variety of different applications, ranging from applicant management systems and personnel administration software to time recording tools and learning and development platforms. These systems are often insufficiently integrated, resulting in non-transparent data silos and recurring media disruptions. The disjointed system landscape makes data mining for HR and data consolidation considerably more difficult, which makes process reconstruction correspondingly challenging. Successful implementation of Process Mining in HR therefore requires a flexible solution that integrates various data sources.

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Exploiting the potential of Process Mining in HR

The implementation of data mining in the area of human resources can be challenging due to the many isolated solutions - but this fragmentation also conceals enormous potential. The large number of interfaces and transfer points in the process landscape hides considerable inefficiencies that can hardly be identified using conventional analysis methods. For example, the recruitment process suffers from long throughput times when applications are passed back and forth between different departments and decision-makers. Delays also occur during the onboarding of new employees due to unclear responsibilities and a lack of coordination between IT, facility management and specialist departments.

Process Mining in HR can start at the many interfaces and follow the digital traces across system boundaries. This reveals process inefficiencies that would otherwise remain hidden. The technology creates cross-system transparency, which makes it possible to understand and optimize the entire process flow instead of just looking at isolated sub-processes.

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Getting started with Process Mining is easier than you think. Thanks to seamless integration with existing BI systems such as Power BI or Qlik Sense, you can work with familiar tools. All you need for a quick “proof of value” is

Basic process data (event logs) from your systems, which our solution can extract
A business process as a starting point
1-2 days for initial setup and first results

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How Process Mining ensures process optimization in HR

With Data Mining for Human Resources, Process Mining offers the opportunity to analyze and continuously improve processes on the basis of objective data. This enables HR departments to make fact-based decisions for sustainable optimization measures. Process Mining creates considerable added value in consulting and in many areas of HR work.

Recruitment process

Recruiting qualified employees is of strategic importance for companies. Long processing times are sometimes problematic here, leading to candidate drop-outs and unnecessarily reducing the talent pool. Process Mining makes it possible to analyze the speed of each process step, enabling targeted process optimization in HR. By visualizing process variants and measuring throughput times, companies can speed up their recruitment processes and improve the candidate experience.

Document management

HR teams spend a significant amount of time creating and managing documents such as contracts, employment letters and certificates, which is both time-consuming and error-prone. Process Mining in HR makes the complicated document lifecycle transparent and shows where documents are left unnecessarily long or go through redundant review steps. The technology makes it possible to streamline and automate the document creation process using the insights gained.

Onboarding process

Structured onboarding is crucial for the rapid integration of new employees - in practice, however, there are often delays due to unclear responsibilities. Process Mining in HR tracks the onboarding process across all systems involved and reveals where new employees have to wait an unnecessarily long time for work equipment, access or training. The technology identifies process variants and enables comparisons to be made between successful and less successful onboarding processes. This enables companies to develop standardized onboarding plans that lead to higher retention rates and faster productivity of new employees.

Compliance management

Compliance with labor law regulations and internal guidelines poses challenges for many industries. Process Mining supports compliance management in the area of IT services and HR by automatically detecting and documenting deviations from defined processes. The technology monitors critical compliance aspects such as the timely completion of training courses, adherence to working hours or the correct documentation of personnel measures. This allows compliance risks to be identified and rectified at an early stage.

Inquiry management

Processing employee inquiries on topics such as payslips, vacation entitlements or certificates ties up considerable capacity in HR departments. Slow processing times frustrate employees, while unclear responsibilities can lead to redundancies in processing. Process Mining in HR analyzes the processing paths of requests and identifies patterns in recurring problems or inefficient processing steps. This helps HR teams to achieve greater efficiency and better service quality.

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Implement HR process optimization - with Process.Science

The implementation of Process Mining in HR is particularly low-threshold with Process.Science. Our Process Mining tools are integrated directly into existing business intelligence platforms such as Microsoft Power BI and Qlik Sense. With Process.Science, you implement Process Mining without additional isolated solutions - instead, you use familiar interfaces and functions for your process analyses. Implementation takes place with minimal effort and without interfering with your software or ERP systems, so that ongoing operations are not affected. Get to know our solutions to realize measurable increases in efficiency in the shortest possible time.

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Process Mining in HR

Process Mining in HR – for smart HR management

Process Mining in HR management: basics and challenges

Exploiting the potential of Process Mining in HR

Start now with Process.Science!

How Process Mining ensures process optimization in HR

Recruitment process

Document management

Onboarding process

Compliance management

Inquiry management

Implement HR process optimization - with Process.Science

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