Process Mining for the Telecommunications Sector

Optimising network utilization and automation

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Using Process Mining in the telecommunications sector

The telecommunications industry is facing unprecedented pressure to transform: the expansion of new infrastructures such as fiber optics, 5G and the prospect of 6G requires immense investment, while at the same time providers are faced with falling revenues and increasing competitive pressure. Customer expectations with regard to network quality and service are also rising - the high willingness of customers in this sector to switch is forcing providers to invest more in customer service and personalized solutions. Telecommunications companies are also struggling with high maintenance and investment costs for technical infrastructure, inefficient legacy systems and the need to develop innovative business models.

Process Mining is increasingly establishing itself as an innovative solution in the telecommunications sector. The technology makes it possible to analyse, visualize and optimize actual business processes using digital traces in IT systems. By systematically evaluating event logs from various systems, telecommunications companies can make complicated, cross-departmental processes transparent and eliminate inefficiencies in a targeted manner. Process Mining increases efficiency, particularly in the customer onboarding process and the provision of services, and also supports the automation of routine tasks.

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Basics of Process Mining for telecommunications

Process Mining is located at the interface between data science and process management. The method is based on the analysis of digital traces - so-called event logs - that are created during the execution of business processes in IT systems. These contain valuable information such as time stamps, process steps and processing instances that provide detailed insights into the actual course of processes. Process Mining tools evaluate this raw data as part of the discovery process and convert it into meaningful, easy-to-understand process models. During conformance checking, these generated models are compared with defined target processes in order to uncover deviations, inefficiencies and bottlenecks. In the final step - enhancement - the existing process models are expanded or improved on the basis of the knowledge gained. The method is now used in a wide variety of industries - Process Mining supports quality control in the healthcare sector, for example. In addition, the technology also ensures process optimization in the energy industry.

For telecommunications service providers, Process Mining offers a wide range of benefits. The method ensures transparency by means of an end-to-end analysis of cross-departmental processes, which means that processes that are difficult to record in day-to-day business can be systematically optimized. Process Mining also helps to identify break-off points and improve throughput times when analyzing the customer onboarding process. When providing customer service, process analysis helps to identify common problem areas and optimize self-service offerings.

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Added value of Process Mining for the telecommunications sector

Many telecommunications service providers struggle with inefficiencies that often go unnoticed in day-to-day operations and are difficult to identify at first glance. For example, complicated, cross-departmental processing procedures often lead to delays in acquiring new customers - for example, when contract documents are forwarded several times between different departments or technical checks on the availability of certain services are not optimally coordinated. There are also weaknesses in customer service, for example when fault reports are processed with delays due to unclear responsibilities or customer inquiries are unnecessarily prolonged due to redundant requests.

The use of Process Mining makes sense in telecommunications insofar as it analyzes actual processes based on objective data. The technology systematically evaluates data from CRM systems, ticketing platforms and technical management systems, thus enabling telecommunications companies to derive optimization potential. The systematic process analysis results in shorter throughput times, ensures optimization in contract management and also leads to improvements in service quality. The process transparency gained also forms the basis for targeted automation measures - repetitive tasks can be automated using robotic process automation (RPA), freeing up employees for value-adding activities. The resulting reductions in processing time ensure more satisfied customers and ultimately mean a reduction in costs in the telecommunications sector.

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Our Process Mining tools display for every step in realtime, where outliers currently occur, to correct them before they establish. Improve lead times, costs and quality. Reduce commercial risks through process optimization.

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Applications of Process Mining in telecommunications

Process Mining opens up a wide range of opportunities for service providers in the telecommunications sector to optimize their business processes. It combines data from various source systems to create a holistic picture of different processes, which can then be systematically optimized.

Network expansion optimization

The expansion of network infrastructure presents telecommunications companies with complicated challenges, especially in terms of planning and logistics. Process Mining analyzes the processes involved in expansion projects and identifies delays in approval processes or in the coordination of construction companies. In the process, lead times of sub-projects can be compared in order to establish best practices for efficient expansion processes. By integrating data from project management tools and other systems, resource conflicts can be prevented at an early stage.

Data traffic management

The efficient management of data traffic is crucial for the quality of the services provided. Process Mining analyzes network utilization and data flow patterns to identify bottlenecks and inefficient routing processes. The insights gained enable precise capacity planning and the optimization of load balancing strategies, which ensures all-round greater efficiency in data traffic management.

Network security

For telecommunications companies, ensuring cyber security is of existential importance. Process Mining supports its maintenance by continuously reviewing network security processes and identifying vulnerabilities in security protocols. The process optimizes response times to security incidents and monitors compliance. By analyzing access patterns and security events, potential threats can be identified at an early stage and preventive measures improved.

Technology upgrade planning

The modernization of technical infrastructure requires careful planning. Process Mining analyzes the efficiency of previous upgrade processes and identifies critical paths in the implementation of new technologies. The technology simplifies the coordination of different departments involved in the upgrade project and enables needs-based resource planning. The systematic evaluation of past projects minimizes potential risks and shortens implementation times, thus avoiding service interruptions.

Churn prevention analysis

The telecommunications industry is characterized by high customer churn, which makes the identification of churn prevention measures indispensable. Process Mining examines customer interactions and identifies critical touchpoints that lead to churn. The technology makes it possible to recognize warning signals for potential churn at an early stage and initiate preventive measures. By integrating data from CRM systems, service requests and user behaviour, personalized retention strategies can be developed to counteract customer churn.

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Simple implementation of Process Mining in telecommunications - with Process.Science

Process.Science offers companies a low-threshold way to implement Process Mining in the telecommunications sector. Our solutions are integrated directly into existing business intelligence platforms such as Microsoft Power BI and Qlik Sense. Integration takes place with minimal effort - there is no need to intervene in existing ERP systems, so your day-to-day business remains unaffected. Our flexible Process Mining tools can be used both on-premise and in common cloud environments. Thanks to existing connectors for common databases, data can be loaded and processed directly. You don't have to worry about data protection either - all processed data remains with you and no information is transmitted to Process.Science. With our Process Mining tools, you are opting for a secure, cost-effective and easy-to-implement solution.

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