Thomas holds a degree in Business Economics, but has been a data explorer and a developer at heart ever since the days of dBase and Turbo Pascal. He touched his first SQL Server at V6.5 and used covering indexes before they became a feature. Thomas has been developing in Navision/Dynamics/Business Central systems for quite some time (since 2001, one year before MS acquired Navision), joined PASS in 2006 and got his hands on R in 2014 (the year before MS bought Revolution Analytics) and on the Power Platform from 2020 on. He has worked for ISVs as well as end-user companies, as a developer, consultant, accidental DBA and is an author for data-related articles as well as a speaker at data events across Europe.


„A picture is worth a thousand words“ - compelling visualizations beyond the usual bar, line or scatter plots, produced with the help of the ggplot2 package and friends.
A walk-through on what is possible analyzing your data with the "R" language.
An introduction to the philosophy of tidy data and the collection of R packages called Tidyverse that help to treat your data appropriately. Including lots of demos from ingesting to cleaning to visualizing your data.
In this lightning talk I'll demonstrate how to apply the R implementation of Benford's law (which actually is not about crime or fraud) to identify possibly fraudulent invoice or other data.