It all started during the second period of the second year of my HBO study in Computer Science. After almost one and a half years of coding, the period came when we started to analyse data. Something that I compare to a puzzle after this.
The well-known Contoso demo dataset was turned upside down to discover the undiscovered facts. First, the ‘known’ facts were visualised, the corners and edges of the puzzle, to subsequently use this information to find the unknown unknowns, the solid-coloured pieces of the puzzle.
In addition to the data from Contoso, insights based on external data were also requested. Think of it as an expansion set of 500 pieces. The 500 pieces gave us just the right insight, enabling us to extract more value from the data. Super cool!