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Sensor networks have become ubiquitous in all types of machinery and infrastructure. These sensor networks are/will be extensively used in the Smart City, which includes public as well as private sensor networks the latter being a much-neglected source of information feed for a smart city administration (Komninos, 2014). This can include vehicle (from eScooter to mini-van) sharing data, park house data, etc. However, the city’s backbone IT infrastructure must be able to accept and process this data and to draw the right conclusions from them. The backbone of this IT infrastructure will for all practical purposes be an Enterprise Resource Planning (ERP) System as it is already standard in the private sector (for an example, Müller-Török et al., 2019). This contribution analyzes the integration of sensor networks into ERP systems in the Smart City. It will also analyze the implications of this development for public sector education.
COVID-19 accelerated the drive towards distance learning, typically supported by web-based eLearning resources. There are also studies reviewing the transition to such as teaching style, whether in conjunction with traditional classroom teaching or as a supplement. This paper will focus on ERP-based teaching within a larger program to establish tertiary distance education in eGovernment in Germany (“eGov Campus”). It attempts to structure the topic and to advance some hypotheses that will be empirically tested against real-world data and experience from introducing this style of teaching in the eGov Campus.
This publication advances some refutable hypothesis concerning user behaviour and learning success in eLearning systems using system simulations. A simulation in this context is strongly interactive HTML 5 content giving users an almost real-life experience of working with an application system, here an ERP system. Simulations can be enriched with addition information, data and process models, user guidance, or business content. This type of content is distinctly different from traditional eLearning content focusing on presentational content and teamwork or quizzes to check progress. To test the hypotheses the paper explores metrics provided by a typical eLearning platform and in how far the metrics can be used to test the hypotheses.
This book is the merger and continuation of two successful textbooks, (i) Integration Management with SAP ECC® covering operational processes in sales, cost accounting, materials management and procurement, SOP, MRP, production order execution and project management in manufacturing as well as (ii) Data Warehouse Management with SAP BW® covering the design and implementation of analytics systems based on aggregate structures and “data cubes”.
In-memory computing, however, has accelerated database systems to such an extent that analytics does not have to be based on aggregate data cubes any more. Rather, it can be based on the original transaction data and can hence be seamlessly integrated into operational systems in (near) real time. This opens a completely new avenue of business computing by integrating artificial intelligence, machine learning and advanced analytics into transactional data processing.
This book leverages SAP Hana® data analytics to enhance the operational case study – the manufacture of umbrellas. The case is developed step by step, whereby students build the case virtually from scratch, each working in his/her own manufacturing plant. The case study implementation is supported by a host of interactive materials and web trainers at https://www.wu.ac.at/erp/.
