Big Data Predictive Analytics of the Churn Rate

Big Data Predictive Analytics of the Churn Rate

Big Data Predictive Analytics of the Churn Rate

Expert: Michael Scharpf

Industry: Automotive & Engineering

Area: Marketing & Sales

Increase customer loyalty and reduce costs with our Big Data Predictive Analytics to identify switching candidates.

OUR AI AND DATA SCIENCE Case studies:
EXPERIENCE FROM OVER 2,000 CUSTOMER PROJECTS

[Challenge]

In the automotive industry, it is expensive to win a new customer. Therefore, it is crucial to identify customers with switching intentions at an early stage and retain them through appropriate measures. Our client, a leading car manufacturer, was faced with the challenge of identifying customers with a high risk of switching and understanding the reasons for their churn behaviour.

[Solution]

To predict customer switching intentions, we used a generalised linear model (GLM). The GLM uses various data sources, including customer, vehicle and social media data, to create a holistic customer history. Using this data, we performed modelling to determine the likelihood of customer churn and identify the drivers of it.

[Result]

Thanks to our method, we were able to identify exactly those customers who had the highest risk of switching. By targeting these customers and developing appropriate customer retention measures, our client was able to significantly reduce churn rates. Resource allocation in the company became more effective and the company was able to both save costs and increase customer loyalty. The method has a hit rate of 90%, which means that our model was able to correctly predict churn in most cases.

Our project shows how Big Data Predictive Analytics can help companies better understand their customers and develop effective marketing strategies. The use of machine learning methods such as GLM and the use of social media data enables companies to develop a deep understanding of their customers and better understand their needs and wants. This can help businesses not only retain customers, but also attract new ones and increase their sales.

Curious now? Let us show you what sets us apart from other companies and how we can help you achieve your goals.

Michael Scharpf - Key Account Manager

Your expert

Michael Scharpf | Sr. Principal Key Account Manager | Alexander Thamm GmbH

Competition analysis software for an international automotive group

Competition analysis software for an international automotive group

Competition analysis software for an international automotive group

Expert: Michael Scharpf

Industry: Automotive & Engineering

Area: Marketing & Sales

Conquer the US market with our customised competitive analysis software for your automotive company.

OUR AI AND DATA SCIENCE Case studies:
EXPERIENCE FROM OVER 2,000 CUSTOMER PROJECTS

[Challenge]

Our company had the pleasure of developing a customised solution for an automotive company to conduct competitive analysis for the US market. The company was struggling to collect and visualise the data needed for a thorough analysis. The data sets were large and complex, and the company did not have the necessary tools and technology to process them effectively.

[Solution]

Our team of experienced data analysts and AI experts worked closely with the company to implement an interactive and flexible application to perform competitive analysis. The application included different maps with two different views to provide users with a wide range of visualisation options.

By using the latest technologies and tools, we were able to ensure that the application was easy to use and user-friendly. Users had the possibility to filter and visualise the data in different ways to find relevant information quickly and easily.

[Result]

The result was a powerful competitive analysis software that enabled the company to identify, analyse and visualise relevant markets. The retailer or the respective sales department now had the possibility to compare the direct competition with their own product and visualise the relevant data. With our solution, users could quickly and easily access extensive data that was previously difficult to access. The visualisation of the data enabled the company to gain important insights into the market and make better decisions.

Thanks to our solution, the company was able to improve its competitive analysis and gain valuable insights that enabled it to improve its marketing strategy and strengthen its position in the US market. Our clients value our expertise in data analytics and AI technologies as we always strive to develop innovative solutions that help them grow their business.

If you too are looking for powerful competitive analysis software to help you identify relevant markets and improve your marketing strategy, don't hesitate to contact us. We pride ourselves on providing you with customised solutions that are tailored to your individual business needs.

Curious now? Let us show you what sets us apart from other companies and how we can help you achieve your goals.

Michael Scharpf - Key Account Manager

Your expert

Michael Scharpf | Sr. Principal Key Account Manager | Alexander Thamm GmbH

Analysis and calculation of the customer retention rate

Analysis and calculation of the customer retention rate

Analysis and calculation 
the customer retention rate

Expert: Michael Scharpf

Industry: Automotive & Engineering

Area: Marketing & Sales

Are you losing track of your customer retention? We can help you focus on your most valuable customers with our innovative retention rate analysis and calculation solution.

OUR AI AND DATA SCIENCE Case studies:
EXPERIENCE FROM OVER 2,000 CUSTOMER PROJECTS

[Challenge]

A successful aftersales sector is crucial for car manufacturers to retain customers in the long term and increase sales. One important metric for this is the retention rate. However, a leading car manufacturer was faced with the challenge of calculating and analysing the retention rate in different markets and at different levels of aggregation.

[Solution]

In order to increase customer loyalty and the turnover of the car manufacturer, the company relied on the support of data scientists from Alexander Thamm GmbH. They developed an analysis tool that not only allows the retention rate to be broken down according to vehicle attributes, but also allows the vehicles to be divided into dynamically definable age segments and the rate to be calculated on different reference dates. In addition, information on service packages and special equipment was linked to the tool.

[Result]

Thanks to the implementation of the tool, the individual markets of the car manufacturer can independently carry out success measurements of customer campaigns. The big advantage here is that automating the calculations not only saves a lot of effort, but also improves the quality assurance of the results. In addition, the tool opens up the possibility of increasing customer loyalty and customer turnover through active upselling of service packages and special equipment.

In addition to providing the analysis tool, Alexander Thamm GmbH also helped the car manufacturer to improve its overall data strategy. This included, among other things, the definition of data standards and processes as well as the introduction of data quality management methods.

For companies that also want to calculate and analyse their customer retention rate, Alexander Thamm GmbH offers a customised solution. By using modern technologies such as data science and artificial intelligence, we support our customers in optimising their business processes and achieving business management goals. If you too would like to increase your customer loyalty and boost sales, please feel free to contact us and let us develop a suitable solution together. And who knows, maybe we will soon be able to count your company among our satisfied customers who have been able to successfully calculate and increase their customer retention rate.

Curious now? Let us show you what sets us apart from other companies and how we can help you achieve your goals.

Michael Scharpf - Key Account Manager

Your expert

Michael Scharpf | Sr. Principal Key Account Manager | Alexander Thamm GmbH

Condition monitoring in engine development

Condition monitoring in engine development

Condition monitoring in engine development

Expert: Michael Scharpf

Industry: Automotive & Engineering

Area: Production

Learn how to improve the long-term quality of engines in the automotive industry through effective condition monitoring.

OUR AI AND DATA SCIENCE Case studies:
EXPERIENCE FROM OVER 2,000 CUSTOMER PROJECTS

[Challenge]

Our customer from the automotive industry had the need to monitor the long-term quality of components in the area of fuel systems. Our task was to develop a concept for data analysis and validate a prototypical application to optimise the condition monitoring of the engine.

[Solution]

To validate the concept and optimise the data analysis, we consolidated the existing database queries and added more data. We extended the data analysis by adding more engines, the scope of which can be varied via an external control list. The optimised database queries and the extended data were then further developed into a fully automated ETL load path.

[Result]

The extended data enabled us to create vehicle life histories and analyse series-specific fault histories based on the long-term quality data. Our customer was able to improve the quality of the fuel systems and optimise the condition monitoring of the engine.

For the data analysis, we used data science methods to consolidate and extend the existing database queries. We used machine learning methods to automate the analysis and improve the results. The ETL load path was implemented using Apache Kafka and Apache Spark. By using these technologies, we were able to make the data analysis more effective and efficient.

Curious now? Let us show you what sets us apart from other companies and how we can help you achieve your goals.

Michael Scharpf - Key Account Manager

Your expert

Michael Scharpf | Sr. Principal Key Account Manager | Alexander Thamm GmbH

Machine learning workshop for a software manufacturer

Machine learning workshop for a software manufacturer

Machine learning workshop for a software manufacturer

Expert: Michael Scharpf

Industry: Automotive & Engineering

Area: Production

Unique Machine Learning Workshop for Software Vendors: Gain the knowledge and skills to revolutionise your data analytics and leave the competition behind.

OUR AI AND DATA SCIENCE Case studies:
EXPERIENCE FROM OVER 2,000 CUSTOMER PROJECTS

[Challenge]

Our customer, a renowned software house, was faced with the challenge of expanding the monitoring software of painting robots of a machine manufacturer in order to introduce an innovative component for the early detection of errors. In order to prove the functionality of this early detection within the framework of a proof of concept, it was crucial for the software manufacturer to develop functioning detection models.

[Solution]

Working closely with our company's data science team, a customised machine learning workshop was conducted to meet the client's specific requirements. In this workshop, meaningful variables for the fault patterns were developed using the existing log data, a process also known as feature engineering. By carefully selecting and preparing these variables, we were able to create a solid foundation for the model development.

In the next step, classification models were developed to effectively identify the error patterns. Different methods were applied and their performance was assessed using evaluative metrics. Our experts were thus able to identify the best models and derive specific recommendations for implementation. We worked closely with the software developers to provide them with clear instructions and guidelines for integrating the error detection component into the existing monitoring software.

[Result]

Thanks to the successful proof of concept, our customer was able to demonstrate the impressive performance of the developed component to its machine manufacturer. The precise detection models and robust evaluation of the processes delivered convincing results that strengthened confidence in the new early detection solution. Our customers were able to highlight the benefits of the improved defect detection for their painting robots, thus increasing the efficiency and quality of their processes.

In addition, the software developers received concrete instructions on how to implement the error detection component. This included detailed steps required to integrate the models into the existing software. Our comprehensive documentation and clear guidelines facilitated the developers' implementation and ensured a smooth integration of the new functionality.

With our expertise in data science and artificial intelligence, we were able to help the software house overcome their challenges in the area of error detection. Our machine learning workshop and the model developments based on it not only clarified the performance of the component, but also led to concrete recommendations for action for the implementation.

Our machine learning workshop is specifically designed to help companies implement data analytics and artificial intelligence into their business processes. By using relevant keywords, such as "machine learning workshop", and placing them strategically in the text, we optimise the content for search engines. This helps potential customers looking for data analytics and artificial intelligence solutions to find our company as a trustworthy partner.

If you want to optimise your business processes and benefit from the advantages of advanced data analysis and artificial intelligence, contact us. Our team is at your side with its expertise and commitment to make your projects a success.

Curious now? Let us show you what sets us apart from other companies and how we can help you achieve your goals.

Michael Scharpf - Key Account Manager

Your expert

Michael Scharpf | Sr. Principal Key Account Manager | Alexander Thamm GmbH