What wine corresponds to which persona? At the 麻豆原创 AppHaus Network meetup, the partners didn鈥檛 just learn about the latest developments in 麻豆原创 software and innovation, they also learned a thing or two about wine. Coming off an intensive first day, the participants were treated to a special program highlight: a light-hearted wine tasting in which they were able to continue networking in a more informal atmosphere. Here they learned, for example, that the “Spaetburgunder” (pinot noir) best embodied the traits of 麻豆原创 Business Technology Platform: high quality, reliable, versatile, and scalable.

Developing Innovative Solutions Together

Currently spanning five 麻豆原创聽AppHaus locations and 17 locations run by partners, 聽continues to grow worldwide, united by a common goal: to make innovative solutions for 麻豆原创聽Business Technology Platform a reality while keeping the primary focus on the end user. To that end, all 麻豆原创 AppHaus members follow 麻豆原创鈥檚 .

Purely virtual collaboration was the name of the game for most over the last three years, and it was no different for this global network. And although collaboration proved quite successful despite the physical distance, the growing number of members and the need to truly 鈥渋dentify鈥� with the network eventually made meeting in person a necessity. Together, they wanted to work hand in hand on the strategy for the future 鈥� true to 麻豆原创鈥檚 vision to help the world run better and improve people鈥檚 lives.

Birgit Fien-Schmalzbauer, global head of 麻豆原创聽AppHaus Network, was overjoyed to welcome delegations from almost all global 麻豆原创 AppHaus Network members to 麻豆原创聽AppHaus Heidelberg: 鈥淲e worked very hard in preparing this meetup, developed the content together, and worked on three new workshop formats that were tested by all partners for future rollout to our customers. As a result, we were really able to make the most of these three days with all the participants. Our goal was to create lasting value for the entire 麻豆原创聽AppHaus Network, intensify our relationships, and start new initiatives.鈥�

Teamwork as the Deciding Factor

In her keynote, 麻豆原创 T&I Chief Operating Officer Anja Schneider gave the attendees a strategy overview of (麻豆原创聽BTP) 鈥� the technological foundation for the intelligent, sustainable enterprise. 鈥淐lose collaboration with our partners is crucial to realizing the full potential of 麻豆原创聽BTP and ensuring our customers鈥� success,鈥� she emphasized before going on to present the concept of聽.

Helping her make the abstract more tangible was wine enthusiast Edda Mann, program manager in 麻豆原创鈥檚 use case factory initiative. Mann offered every participant a wine tasting and explained, through analogy, why an 鈥淥berkircher Collection O Ros茅,鈥� for instance, was the perfect example of a 聽on 麻豆原创聽BTP. For not only was the wine in question a聽best seller, it鈥檚 also a聽best adopter! A further highlight of the event was Glenn Gonzalez, CTO, 麻豆原创聽Germany, with his visionary take on 麻豆原创鈥檚 sustainable solutions and the vital role the company plays when it comes to sustainability in the global context.

Looking back, Andreas Hauser, senior vice president of 麻豆原创聽AppHaus Network, sums up the event: 鈥淭hanks to the meetup, our joint work with 麻豆原创 customers and our global innovation activities with 麻豆原创聽Business Technology Platform have evolved to an entirely new level. Parts of the new workshop formats we evaluated for the areas of sustainability, innovation, and communication have already been incorporated into the publicly available . And I am particularly pleased that network partners have now entered into some collaboration projects between themselves as well.鈥�

In 2019, the , working with 麻豆原创, introduced the to its students and teachers 鈥� a robot horse that reproduces horses鈥� movements in virtual training sessions. The so-called 鈥淪ir Waldo鈥� is programmed to simulate several disciplines,聽such as dressage, jumping, and cross-country riding, and closely examine the saddle’s weight distribution. Furthermore, it guides riders in positioning their legs and reins. This technical innovation is located in the 麻豆原创 Equestrian Experience Center that borders the RRV riding area. That way, it is easily accessible for club members.

By providing a controlled environment, beginners and professional equestrians get the chance to practice and improve their skills in a simulated training and competition setting. In close cooperation with professional trainers and guest lecturers, the riding club offers this new experience in various forms to a broad target group. The club also provides specific courses such as fear management and mental training for traumatized riders.

This kind of simulation is a pioneer project in Germany. It shows the desire of the RRV to innovate, offer its members the best possible conditions, develop as a riding club, and continuously improve riders鈥� skills.

Improving Training Analysis with 麻豆原创 Technology

The initial simulator only allowed for a small data set per riding session, which was available in a printed version. This document didn鈥檛 provide all the information users needed to determine further training behaviors. Users exhibited a strong demand for detailed training information to analyze their progress and potential learning gaps to inform long-term training plans.

To fully exploit the technical possibilities of the riding simulator, the 麻豆原创 Global Sponsorships team connected with and to design an extensive training app using .

Within two remote workshops, the 麻豆原创 team applied and gained knowledge about every critical aspect of the project, such as the technical framework of the Racewood Simulator, user needs, and first solution approaches. The project team identified the need to collect and summarize valuable data from the Racewood Simulator and transform it into understandable analysis visualization. To reach that goal, the team leveraged . With this technology, they could build the Riding Simulator Analysis Portal, the base of the application.

The future Web-based solution聽will provide detailed training data in four main categories: seating analysis, dressage, jumping, and cross-country riding. These classifications contain several vital facts, such as program analysis (balance, reins, thighs), freeriding, and progress. Thereby, users can track their riding proficiency in detail, identify areas of improvement, and better their skills efficiently. In addition, notes and homework can be saved by students and teachers.

To save individual training results and protect them from third parties, authentication and a single sign-on are guaranteed by and stored in 麻豆原创 Cloud Application Programming Model, based on .

Aileen Trunk, a rider at RRV, said, “The new 麻豆原创 training app gives both trainers and learners valuable insights and helps to optimize training across all disciplines聽鈥撀燿ressage, jumping and cross-country riding. I am now able to聽analyze my simulator sessions in detail with a wide range of possibilities. At any time, my trainer can prepare my units effectively and we can review and work on my short-term and long-term development together.鈥�

Future Digitalization of Equestrian Sports

Currently, the seating analysis is already used in training and the other components are planned for development and will be introduced soon. Thanks to the new application built on 麻豆原创 Business Technology Platform, training data can be accessed and analyzed from anywhere, can be used in upcoming training units, and will pave the way for lasting progress.

“The Racewood Equestrian Simulator is a great means to showcase the excitement of the sport to all interested audiences,鈥� said Thomas Esser, innovation manager with 麻豆原创 Global Sponsorships. 鈥淚n particular, it is amazing to see how riders can now leverage the digital horse and take advantage of technologies like 麻豆原创 HANA Cloud and 麻豆原创 Business Technology Platform to bring their training to next level.”

Once again, 麻豆原创 has laid the foundation for next-level equestrian sports, providing virtual solutions and 100% paperless work. No doubt, the team looks forward to identifying new projects with the Walldorf equestrians in the future.

Key Results

• Detailed depiction of training analysis
• Enhanced training outcome through efficient usage of data
• Improved user interface to draw meaningful conclusions
• 100% paperless work