Room with large data collection

Data Analytics

Room with large data collection

Data Analytics

Data that makes a difference

Your digital systems collect vast amounts of data every day. Data analytics make it possible to process this data in a targeted manner in order to make informed decisions and develop innovative solutions. By identifying patterns and trends or processing and visualizing data sets, we can gain valuable insights from large amounts of data. We can use them to increase your agility and efficiency, secure competitive advantages or improve the customer experience and promote innovation.

We therefore work closely with our customers to identify and utilize the potential of data in order to develop individual solutions that can be seamlessly integrated into existing infrastructures.

Competencies

From data analysis, data strategy and management to machine learning and the use of AI (artificial intelligence), we are happy to assist you in developing customized solutions that integrate seamlessly into all existing business processes.

Competencies

From data analysis, data strategy and management to machine learning and the use of AI (artificial intelligence), we are happy to assist you in developing customized solutions that integrate seamlessly into all existing business processes.

Contact

Contact

Contact

Irina Walter

Leading Expert

Data Analytics

Irina Walter

Leading Expert

Data Analytics

Irina Walter

Leading Expert

Data Analytics

Success stories

Success stories

Success stories

Chatbot for internal company knowledge

Our chatbot makes knowledge quickly and intuitively accessible within any company. By connecting to a wide variety of data sources, such as SharePoint, Atlassian and other databases, decentralized knowledge can be bundled. Thanks to its integration into MS Teams, the chatbot can be easily integrated into everyday working life without the need for proprietary software.

Chatbot for internal company knowledge

Our chatbot makes knowledge quickly and intuitively accessible within any company. By connecting to a wide variety of data sources, such as SharePoint, Atlassian and other databases, decentralized knowledge can be bundled. Thanks to its integration into MS Teams, the chatbot can be easily integrated into everyday working life without the need for proprietary software.

Chatbot for internal company knowledge

Our chatbot makes knowledge quickly and intuitively accessible within any company. By connecting to a wide variety of data sources, such as SharePoint, Atlassian and other databases, decentralized knowledge can be bundled. Thanks to its integration into MS Teams, the chatbot can be easily integrated into everyday working life without the need for proprietary software.

Data analytics in vehicle development

Our expertise in the automotive industry gives us comprehensive specialist knowledge. Thanks to our experts, we successfully implement data analytics projects even in technically challenging areas. By redesigning processes, for example, we were able to significantly improve the predictability of software releases at a British sports car manufacturer and establish a reporting system that detects delays at an early stage.

Data analytics in vehicle development

Our expertise in the automotive industry gives us comprehensive specialist knowledge. Thanks to our experts, we successfully implement data analytics projects even in technically challenging areas. By redesigning processes, for example, we were able to significantly improve the predictability of software releases at a British sports car manufacturer and establish a reporting system that detects delays at an early stage.

Data analytics in vehicle development

Our expertise in the automotive industry gives us comprehensive specialist knowledge. Thanks to our experts, we successfully implement data analytics projects even in technically challenging areas. By redesigning processes, for example, we were able to significantly improve the predictability of software releases at a British sports car manufacturer and establish a reporting system that detects delays at an early stage.

Duplicate detection using deep learning

Development of a clustering algorithm for a German automotive OEM to recognize bug tickets that indicate an identical problem. By using neural networks, the number of duplicated bug tickets could be reduced. This results in time savings, as manual sorting is no longer necessary.

Duplicate detection using deep learning

Development of a clustering algorithm for a German automotive OEM to recognize bug tickets that indicate an identical problem. By using neural networks, the number of duplicated bug tickets could be reduced. This results in time savings, as manual sorting is no longer necessary.

Duplicate detection using deep learning

Development of a clustering algorithm for a German automotive OEM to recognize bug tickets that indicate an identical problem. By using neural networks, the number of duplicated bug tickets could be reduced. This results in time savings, as manual sorting is no longer necessary.

Dynamic pricing in automotive aftersales

Working together with a workshop chain, we developed a concept to balance out peak loads in the workshop by managing customer demand. For this purpose, data such as workshop utilization, ERP and CRM data were used to identify seasonalities for aftersales services. A forecasting model was developed based on the seasonalities, according to which prices are dynamically adjusted to smooth out demand.

Dynamic pricing in automotive aftersales

Working together with a workshop chain, we developed a concept to balance out peak loads in the workshop by managing customer demand. For this purpose, data such as workshop utilization, ERP and CRM data were used to identify seasonalities for aftersales services. A forecasting model was developed based on the seasonalities, according to which prices are dynamically adjusted to smooth out demand.

Dynamic pricing in automotive aftersales

Working together with a workshop chain, we developed a concept to balance out peak loads in the workshop by managing customer demand. For this purpose, data such as workshop utilization, ERP and CRM data were used to identify seasonalities for aftersales services. A forecasting model was developed based on the seasonalities, according to which prices are dynamically adjusted to smooth out demand.

Take-off with CarByte

Take-off with CarByte

Take-off with CarByte

CarByte

CarByte Technology Group

GmbH © 2025

deutsch

english

CarByte Technology Group

GmbH © 2025

deutsch

english

CarByte

CarByte Technology Group

GmbH © 2025

deutsch

english