Читать книгу The Digital Transformation of Logistics - Группа авторов - Страница 55

Logistics management has always had to handle a lot of data to manage supply chains effectively, but with IoT, a new level of big data is reached. In current daily operations, we still see a lot of inefficiencies due to bad data quality. Material master data (e.g. weight, dimension, country of origin, packaging information, etc.) are missing or often incorrect that can lead to wrong decisions or interruption of operations. As disturbing as such problems of data quality are already today, data quality will be the crucial prerequisite for logistics management in an IoT world. In summary, getting more bad data in a faster way will not improve the process but instead have the opposite effect.