The Internet of Things - managed or unmanaged devices - plays a significant role across all industries and has the potential to disrupt entire businesses. Even though many IoT projects are being implemented as we speak, many businesses are too late to the game. One of the main challenges during the project planning phase is the value quantification.
The business value increases with the degree of process digitization. Digital Identity solutions, and IoT combined, help to make Information available in near real time throughout the entire business process, not confined to individual data silos. This allows a leaner and more customer/consumer friendly process.
Digitized business processes have many actors (employees, customers, third party and historic data, the device itself and many more). Each actor needs to be uniquely identifiable, and actions need to be recorded for audit purposes. But that is not enough as responsibilities may change over time and data privacy laws must be adhered to.
In this session, we will discuss the importance of digital identity management for an efficient business digitization process, as well as key requirements for such a system.
Privacy laws such as GDPR require organizations to know whose data they have, where it is stored, and how they use it. They also have to match consent or agreements for use of the data, and the actual use of their customers’ data.
In this presentation, we will show how privacy compliance can be based on data analytics, and how to automate that, so that continuous compliance can be achieved.
Key takeaways:
- How to build a map of personal data in the enterprise
- Use the data map to automate data subject rights
