Data analytics and data protection are two very important factors for the economic success of companies. Both topics are not mutually exclusive, but must be considered together for successful implementation. Personal data is often very valuable for data analytics, but also particularly worth protecting in terms of data protection. This lecture deals with the conflict of objectives between data analytics and data protection, procedures and methods for resolving this conflict of interests and a practical implementation. It also shows how to position a charging infrastructure predictively.
Speaker: Rosina Kazakova (Porsche AG)