Session
When data lies - typical patterns for manipulating data
Data should be impactful, and to be that, it needs to influence decisions or result in changes. But how much harm could such impact cause if said data is erroneous or straight-up manipulated?
How can data be manipulated? That is precisely what we will explore in this white-hat-inspired session. We will put ourselves in the shoes of a data villain and explore ways to misrepresent reality and make our data lie to the best of our ability.
In this, part humorous, part delicate session, you will learn to detect malicious patterns in data that could suggest foul play.
Topics:
- Data Stories
- Data Manipulation
- Data & Analysis integrity
Mathias Halkjaer
Principal Architect, Microsoft Data Platform MVP
Odense, Denmark
Links
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