As digitalization increases, the right way to deal with data is becoming more important as a success factor. Our vision of mobility is one in which the privacy of individuals is protected. We therefore design our products and services with the needs of our customers in mind and make every effort to ensure that their data is managed responsibly.
Our targets for 2020
Effectiveness of our
Data Compliance Management System*
Development of the
Data Governance Organization
Data Governance Committee
DATA & ANALYTICS
* Multi-stage assessment method for the continual improvement of: 1. Design – Is the system designed to ensure the achievement of the goals of the Compliance Management System? 2. Implementation – Has the system that has an effective design also been implemented as planned? 3. Effectiveness – Is the implemented system being used effectively? Assessment scale: green = completely fulfilled; yellow = partially fulfilled; red = not adequately fulfilled
** The effectiveness of the Data Compliance Management System cannot be reliably determined until at least six months after it is successfully implemented. This component will therefore not be assessed until 2021.
Data responsibility – One of our most important concerns
We aim to continually increase customer satisfaction by offering products and services that meet customer requirements and expectations. In order to identify these requirements and expectations and take them into account when we refine our vehicles and services, we need to make sure that our customers trust us to handle their data responsibly. Here it is crucial that we ensure the security of customer data and that we respect and protect our customers’ privacy. Gaining customers’ trust in this manner is extremely important, especially if customers are to accept new technologies. We are the first automotive manufacturer to formulate its own four principles for the use of artificial intelligence, which are taken into account in handling this technology. They are responsible use, explainability, protection of privacy, and safety and reliability of the applications.
Our Data Compliance Management System supports our systematic and risk-based planning, implementation, and continuous monitoring of measures to ensure compliance with the data protection requirements. The Data Compliance Management System focuses on data protection law. For our corporate units in the EU and the processing of data from the EU, the GDPR and our internal Data Protection Policy EU are definitive; for our corporate units outside the EU, the respective local data protection laws and our internal Global Data and Information Policy apply. Data protection is a major consideration from the very beginning in the development of new products and services.
Data is the future – data makes it possible for us to offer innovative services and thus create added value for our customers. At the same time, we handle data responsibly at Daimler because we believe that data protection is a mark of quality. The trust that people have always placed in a Mercedes has to be carried over from the real highway to the data highway.
Renata Jungo Brüngger Member of the Board of Management of Daimler AG
Integrity and Legal Affairs
Centralized control: The Data Governance Committee
In January 2019, the Board of Management adopted a resolution establishing a Data Governance Committee at the Group level. The task of this committee is to define the policies on Group-wide core data management issues, information security, data protection, and data compliance, and to make all necessary decisions in these areas. The Data Governance Committee consists of the Data Governance Board, a governing body that meets on a quarterly basis, and the Data Governance Working Team, which generally meets once a month.
Data governance involves not only compliance with relevant laws and regulations; its building blocks also include our data vision, the establishment of a data culture, the associated organization, and the Data Compliance Management System. In addition, it involves the creation of infrastructural conditions that enable us to utilize data across various functions. In the spirit of good corporate governance, data governance ensures that data in the possession of the company is managed responsibly. The decisions made by the Data Governance Committee are binding for all data-related activities and data processing in general at the Daimler Group.
In 2019 the Data Governance Committee, among other things, adopted principles for the utilization of artificial intelligence and defined the structure of the future data governance landscape.
The Data and Analytics Boards
We are working to establish our data vision at all of our divisions as a framework for ensuring the responsible use of data at the Group. In order to promote the responsible use of data, we established Data and Analytics Boards at the business divisions Mercedes-Benz Cars, Mercedes-Benz Vans, and Daimler Mobility during the reporting year. In 2020 we will also set up a Data and Analytics Board at Truck & Bus that incorporates existing data governance activities. The Data and Analytics Boards are made up of cross-functional international teams of managers who perform data-related tasks. These teams meet regularly to promote the digital transformation at the divisions on the basis of measures prioritized by the Board of Management. The teams are also networked in a manner that ensures a standardized approach to data governance throughout the Daimler Group.
In view of the increasing connectivity and automation of our vehicles and the range of our digital services, we are also continually refining measures to protect the privacy of our customers and ensure the responsible management of their data. Our efforts here focus in particular on designing products and services in a manner that ensures effective data protection. We are also working to further expand our holistic Data Governance System.
Our compliance organization utilizes a centrally managed process to review our Data Compliance Management System once a year. This process evaluates the design, implementation, and effectiveness of the system and makes adjustments wherever necessary.Responsible use of data