A lot of energy (not to say blood, sweat and tears) has been has been spent for all the preceding steps to create an analytical pipeline, but last and of course not least the final steps delivers the result to the audience / the user of the pipeline.
Sometimes the final output of a tremendous effort is just a single number, let's say 0.84, or just a bar chart, or a more fancy Sankey chart.
No matter, if it's "just" a number that represents the probability of the occurrence of a certain event, or "just" a chart that compares different categories
of customers to support a decision about the future direction of a large enterprise, this step is very special, special in two ways:
Both points can lead to one of the following extremes
Here I will focus on the three aspects of this step Data Visualization, Collaboration, and the Architecture of Information Delivery.