CAMELOT Consulting Group Turns 25
Find the top achievements and successful milestones of our 25-year company history summarized here.
The Internet of Things (IoT) is a network that connects data, devices, and people in one or more companies to the internet.
The main challenge for all manufacturing companies is currently the company-wide control of processes and analyses. The IoT makes this possible by seamlessly integrating all business processes – and it even allows access from external sources. The main benefits of this integration are the reduction of staffing expenses, better efficient plant utilization and increased productivity.
When everything is networked with everything else, there are as many opportunities as there are risks. Each connected device increases the privacy and security concerns in the IoT. Data management will also be one of the greatest challenges of the IoT in the future due to the networking of many different devices. It is essential to develop a standard for the handling, processing, and storage of the data collected by sensors. The acquisition of sensor data in production alone does not offer any advantages. Companies must be able to gain insights from this data, derive the best initiatives from them, modify processes and develop applications.
The rapidly growing number of networked things and the explosion of the resulting data on the IoT have the potential to revolutionize the economy and our society. Companies can increase their profits and competitive edge by gaining key insights for optimizing their business processes. However, the decisive factor will be whether the problems surrounding security, connectivity and standards are solved. New trends and concepts include the use of digital certificates and public key infrastructure (PKI) to make onboarding processes for new devices more secure.
Security risks can be minimized by using what are known as edge services, which move certain security-relevant applications to the edge of a network. Connectivity challenges can be tackled via collaboration platforms and corporate networks by transmitting sensor data via standard protocols such as edge services on premises, edge analysis and aggregation on premises. The IoT Unified Platform and the IoT Twinification Bridge are used as standards.
The IoT can digitalize individual processes, production lines or entire factories. Depending on the area in which you want to implement your IoT or Industrial IoT vision, you will find several applications in our portfolio that support the introduction and networking of these technologies. With SAP solutions for the Industrial IoT (IIoT) such as SAP Manufacturing Execution, SAP Manufacturing Integration and Intelligence, or SAP Plant Connectivity, and our expertise in the area of digital manufacturing, we can master all challenges.
Most companies want to accelerate their digital transformation, but lack of fast ways to proof concept and value when introducing disruptive ideas. We have developed an agile approach to gain certainty of ROI.
The Camelot Digital Manufacturing team has more than 20 years of experience in implementing Manufacturing Integration projects. Use this treasure to kickstart your own projects.
Artificial intelligence (AI) is a major driver of digitalization. As part of the value chain, AI enables data-based decisions to be made.
To improve the user experience, Camelot ITLab focuses on innovation, simplification, and integration. This results in lean processes and automated data acquisition through the integration of machine sensors.
ZF Friedrichshafen AG wanted to realize their vision of a “paperless factory”: The SAP MII system (Digital Manufacturing) used had to be connected to the existing SAP ERP system (Enterprise Resource Planning).Read more
Mit Hilfe der Camelot Digital EXPERIENCE² implementierte der Tabakhersteller Heintz van Landewyck die Industrial IoT-Lösung SAP Manufacturing Integration & Intelligence (MII), einschließlich der Integration von SAP ECC und SAP EWM.Read more
Our experts will contact you soon to arrange a call or meeting.