Data sharing in the aviation industry

Data sharing in the aviation industry

Data sharing in the aviation industry

Expert: Michael Scharpf

Industry: Transport & Logistics

Area: Production

Optimising data integration in the aviation industry through innovative data sharing strategies and accurate demand forecasting using machine learning.

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The complex landscape of data integration

In the past, our clients have confronted us with a challenge that many companies are familiar with: despite a wealth of data that holds the potential for breakthrough business innovations, these remain Data often in isolated silos. This situation not only hinders the availability and accessibility of data across the organisation, but ultimately prevents valuable business innovation.

Added to this is the fact that the Data sharing is a sensitive issue. This is mainly due to the lack of accountability. When data is misused, no one area wants to take responsibility for it. This lack of a coherent data sharing strategy within a data governance framework has prevented the safe, cross-functional use of data.

Seamless and secure data exchange through innovative strategies

Based on the needs identified, we developed a customised solution that met our client's key requirements. First of all, we created a secure environment to allow the most free exchange of data possible within the framework of a Data sharing strategy to enable. A key element of our strategy was the Creation of a data classification model. This model formed the basis for ensuring lawful access and provided the departments involved with a clear understanding of the data structures.

We also introduced a data sharing agreement that clearly documented responsibilities. This ensured reliable data sharing.

    Transformation of the data landscape for future innovations

    The solutions we provided not only enabled a immediate added valuebut also paved the way for future business innovation. As a result of our collaboration, we created a roadmap for the transition in data sharing to close the existing gap between current data sharing and the vision of data sharing as a "standard".

    With the first action steps defined to implement the data sharing strategy, we enabled our client, optimise business processes and maximise business opportunities.

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

    Your expert

    Michael Scharpf - Key Account Manager

    Michael Scharpf

    Key Account Manager | Alexander Thamm GmbH

    Data platform for use cases for a logistics company

    Data platform for use cases for a logistics company

    Data platform for use cases for a logistics company

    Expert: Michael Scharpf

    Industry: Procurement & Supply Chain

    Area: Transport & Logistics

    Discover how we helped a global logistics company master heterogeneous data landscapes, ensure security and make breakthrough data-driven decisions - all on a single, powerful data platform.

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

    [Challenge]

    Our client, an internationally operating group from the logistics sector, was faced with a huge challenge: connecting about 30 heterogeneous source systems to a new data platform. These systems, which provided crucial data for the procurement department, were poorly documented and therefore difficult to handle. In addition, this newly developed data platform was to be provided in the cloud in order to be accessible by a large number of users worldwide. But not all users should be able to see all the data, an additional layer of complexity that further complicated the project.

    [Solution]

    With our in-depth knowledge and experience in data analytics and artificial intelligence, we developed a customised solution. First, we used Apache Nifi to extract data from the different source systems and load it into an S3 bucket. Apache Nifi is a powerful data processing and integration tool that was ideal for this project due to its high flexibility and scalability.

    To process complex queries, we used Amazon Redshift, a data warehouse that processes complex queries quickly and reliably, which significantly improved the performance and speed of our data platform.

    At the same time, we recognised the need to implement effective metadata management. For this, we used a central data catalogue tool that helped us gain better control and overview of the data assets.

    Equally important was the implementation of a well thought-out authorisation concept. With a customised authorisation control, we ensured that each user could only access the data that was relevant to his or her activity. This allowed us to effectively prevent unwanted data access and ensure data security on the platform.

    [Result]

    The result was a state-of-the-art, secure and user-friendly data platform for logistics that fully met our client's requirements. The procurement department now had central access to all relevant data for analytics and business intelligence. The platform could also be used by people and teams outside their own organisational unit, which significantly improved collaboration and information flow.

    By implementing this solution, our client was able to improve their data-driven decision-making and optimise their business processes. This success story shows how our comprehensive understanding of data analytics, AI and business processes can help overcome even the most complex challenges. It confirms our position as a trusted partner for companies looking for effective data analytics and AI solutions.

    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

    Development of a data strategy for a company in the mobility sector

    Development of a data strategy for a company in the mobility sector

    Development of a data strategy for a company in the mobility sector

    Expert: Michael Scharpf

    Industry: Transport & Logistics

    Area: Finance & Controlling

    Find out how we paved the way for a company in the mobility sector to more efficient resource planning, improved customer loyalty and future-proof digitalisation by developing a customised data strategy.

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

    [Challenge]

    Many companies know that the future lies in digitalisation. One of our client companies also recognised this need and decided to implement an ambitious digital strategy. However, they faced significant obstacles. A primary problem was the lack of adequate data management within the group. Without efficient and effective management, analysis and use of the available data, the desired digitalisation hardly seemed feasible. In addition, there was a lack of sponsorship from top management for initiatives that could improve data management. The challenge was to find a way to overcome these two hurdles in order to successfully implement the planned digitalisation.

    [Solution]

    The solution to this challenge was to develop a solid data strategy for the company based on the proven best practices of Alexander Thamm GmbH. This meant designing a coherent and powerful strategy that took into account all aspects of data management, analysis and use, while being specifically tailored to the needs and challenges of the client company. This strategy formed the basis for a template for a group board resolution, which was elaborated in close cooperation with all involved officers and stakeholders. Our work also included intensive and effective communication with all stakeholders, including the Chief Digital Officer, to ensure that the proposed data strategy was understood and supported by all.

    [Result]

    The development of a solid and comprehensive data strategy resulted in the creation of a template for a group board resolution. This was supported by a detailed presentation that included a clear storyline, roadmap and implementation roadmap. The success of this initiative was reflected in the board's approval of this template and the approval of the proposed data strategy. Specific implementation planning, including financial requirements planning, was then initiated. This planning enabled the client company to address the challenges of digitalisation and build a solid foundation for future innovation and improvement.

    Working with this client has once again underlined how crucial a well-thought-out and effectively implemented data strategy is for a company's success in the digital era. With our in-depth expertise and experience in data analysis and artificial intelligence, we are ready to accompany your company on the path to digitalisation as well.

    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

    MLOps workshop for a logistics company

    MLOps workshop for a logistics company

    MLOps workshop for a logistics company

    Expert: Michael Scharpf

    Industry: Transport & Logistics

    Area: Procurement & Supply Chain

    Optimise your ML production and set new standards in the logistics industry with our customised MLOps workshop for your company.

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

    [Challenge]

    In an ever-evolving digital landscape, data-driven solutions are crucial for companies to remain competitive. A large German transport company recognised the need to exploit their potential in data analytics and artificial intelligence. They already had several ML use cases in the prototype phase, but lacked the right tools and processes to successfully deploy them in production. To address this challenge, we organised an MLOps workshop.

    [Solution]

    Our MLOps workshop aimed to create a common understanding of MLOps and support the future development of use cases. We took an in-depth look at the challenges of machine learning in production and developed solution approaches. In the workshop, we presented the participants with a comprehensive framework that includes both tools and processes for standardising Machine Learning in production.

    At the beginning, we presented a clear definition of MLOps and explained how it differs from DevOps and DataOps. We discussed the different roles and tasks and showed how teams in a large organisation should be structured to work together effectively.

    An important focus was on creating a target architecture that covers the entire machine learning lifecycle. We described the tools needed for implementation and showed how to make incremental improvements to reach the target state. In doing so, we highlighted business aspects and emphasised the importance of starting early and implementing simple solutions.

    Furthermore, we introduced the ML Canvas to the participants as a framework to structure their machine learning projects. We dived into every step of the ML lifecycle, starting with data exploration and ending with model monitoring. We taught best practices and techniques to make the whole process efficient and produce high quality results.

    [Result]

    After completing the MLOps workshop, the participants were well equipped to successfully implement Machine Learning in production. They had a comprehensive understanding of the challenges and solution approaches of MLOps and were equipped with a framework to implement ML use cases in a standardised way.

    The transport company was now able to put their ML use cases on a solid footing and take full advantage of data-driven decisions. By implementing MLOps, they were able to increase efficiency, reduce errors and improve the scalability of their ML applications. They were able to move their models into production faster and shorten the time-to-market for new features. This enabled them to gain competitive advantage and delight their customers with innovative solutions.

    In addition, the MLOps workshop led to better collaboration within the company. By clearly understanding the roles and tasks related to ML in production, teams were able to collaborate more effectively and improve communication. This led to a smoother integration of ML technologies into existing business processes and enabled seamless collaboration between data scientists, developers and the operations team.

    During the workshop, we also pointed out the long-term perspective of the MLOps implementation. We emphasised the importance of continuous improvement and made recommendations on how the company can further optimise the developed solution. This includes regularly reviewing processes, evaluating new tools and technologies, and adapting the organisational structure to keep up with the changing requirements of the ML lifecycle.

    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

    Digital driving assistant in long-distance traffic

    Digital driving assistant in long-distance traffic

    Digital driving assistant in long-distance traffic

    Expert: Verena Gruber

    Industry: Transport & Logistics

    Area: Marketing & Sales

    Increase the efficiency of your long-distance transport with our groundbreaking Digital Driving Assistant and significantly reduce your fuel consumption.

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

    [Challenge]

    In the freight forwarding industry, fuel consumption is one of the biggest levers for profitability. The driving style of the truck driver has a considerable influence on consumption. However, not all general tips for fuel-efficient driving are equally suitable, as they are not adapted to individual driving situations. The challenge is therefore to provide specific instructions for optimised driving based on actual driving situations and the driver's prior knowledge.

    [Solution]

    To meet this challenge, we rely on an innovative solution based on data analysis and artificial intelligence. By analysing telematics data in real time, important information such as topography, driving profile and load spectrum is collected. With the help of a special algorithm, the optimal driving style is calculated and forwarded directly to the driver via a user-friendly app.

    Through the use of advanced technology and intelligent algorithms, we can provide customised driving assistance. The algorithm not only takes into account the specific driving situations, but also the individual driving behaviour of the truck driver. As a result, the driving recommendations are precisely adapted to the driver's level in order to achieve optimal efficiency.

    [Result]

    The implementation of our solution has brought significant benefits for the haulage companies. Firstly, it provides a transparent overview of the driving efficiency of the entire fleet as well as of each individual driver. The telematics data provides detailed information on fuel consumption, speed, braking behaviour and other relevant parameters. This enables haulage companies to identify weak points and implement targeted training measures for their drivers.

    In addition, the optimised driving style of truck drivers leads to significant savings in fuel consumption. Through the customised recommendations of the "Digital Driving Assistant", drivers can continuously improve their driving behaviour and thus increase efficiency. This has a positive impact on operating costs and contributes to sustainable business development.

    Our company is at your side as an experienced partner in the field of data analysis and artificial intelligence. With our innovative solution, we can make your fleet more efficient and profitable. Contact us to find out more about our "Digital Driving Assistant

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

    Verena Gruber - Key Account Manager

    Your expert

    Verena Gruber | Principal Key Account Manager | Alexander Thamm GmbH