Download PDF
Process Analysis and Efficiencies Yield Cost Savings of More Than 20 Percent
Technology Category
- Analytics & Modeling - Process Analytics
Applicable Functions
- Business Operation
Use Cases
- Process Control & Optimization
The Challenge
The insurance market is highly dynamic and shaped by intense competition, so insurance companies must be able to adapt processes quickly to changing conditions. As such, ongoing business process optimization is an important factor for strengthening a company’s market position. CosmosDirekt, Germany’s leading online insurance company, has shown consistent growth in this market environment. In order to support its ongoing dynamic development, the company’s long-term goals include optimizing process efficiency and improving customer satisfaction. Faced with stiff competition, it was strategically important for CosmosDirekt to further improve customer satisfaction and process efficiency to expand the company’s leading market position.
About The Customer
CosmosDirekt is Germany's leading online insurer, offering innovative, flexible online offerings and competent personal assistance 24 hours a day. The company has over 1.6 million customers who trust it for their private insurance, pension, and investment products. CosmosDirekt is part of the Generali Deutschland Group and is headquartered in Saarbruecken, Germany. The company has a workforce of 1,070 employees. CosmosDirekt is known for setting new standards in the insurance industry with its innovative approach and commitment to customer satisfaction.
The Solution
CosmosDirekt selected ARIS Process Performance Manager for the company’s ongoing process improvements and optimizations. The joint CosmosDirekt-Software AG team first implemented an ARIS solution for the term life insurance product. Measuring points to evaluate the effectiveness of planned improvements in the existing process formed the basis for further process optimizations. The key here—the team was able to visualize individual processes from end-to-end, enabling them to determine suitable Key Performance Indicator (KPI) target values. Potential for optimization was identified accordingly, for example to accelerate application processes. With PPM, organizations measure the performance of existing business processes (e.g., speed, cost, quality or quantity) to recognize the optimization potential. Companies use PPM to automatically analyze and document running processes and improve process transparency. PPM also provides an overview of communication within the organization, as communication networks can be measured and visualized based on the process information.
Operational Impact
Quantitative Benefit
Related Case Studies.
Case Study
System 800xA at Indian Cement Plants
Chettinad Cement recognized that further efficiencies could be achieved in its cement manufacturing process. It looked to investing in comprehensive operational and control technologies to manage and derive productivity and energy efficiency gains from the assets on Line 2, their second plant in India.
Case Study
Airbus Soars with Wearable Technology
Building an Airbus aircraft involves complex manufacturing processes consisting of thousands of moving parts. Speed and accuracy are critical to business and competitive advantage. Improvements in both would have high impact on Airbus’ bottom line. Airbus wanted to help operators reduce the complexity of assembling cabin seats and decrease the time required to complete this task.
Case Study
Improving Production Line Efficiency with Ethernet Micro RTU Controller
Moxa was asked to provide a connectivity solution for one of the world's leading cosmetics companies. This multinational corporation, with retail presence in 130 countries, 23 global braches, and over 66,000 employees, sought to improve the efficiency of their production process by migrating from manual monitoring to an automatic productivity monitoring system. The production line was being monitored by ABB Real-TPI, a factory information system that offers data collection and analysis to improve plant efficiency. Due to software limitations, the customer needed an OPC server and a corresponding I/O solution to collect data from additional sensor devices for the Real-TPI system. The goal is to enable the factory information system to more thoroughly collect data from every corner of the production line. This will improve its ability to measure Overall Equipment Effectiveness (OEE) and translate into increased production efficiencies. System Requirements • Instant status updates while still consuming minimal bandwidth to relieve strain on limited factory networks • Interoperable with ABB Real-TPI • Small form factor appropriate for deployment where space is scarce • Remote software management and configuration to simplify operations
Case Study
Developing Smart Tools for the Airbus Factory
Manufacturing and assembly of aircraft, which involves tens of thousands of steps that must be followed by the operators, and a single mistake in the process could cost hundreds of thousands of dollars to fix, makes the room for error very small.