True value from BI and Analytics comes from actions that are derived from insight. Human decision-makers still often base decisions on gut feel or experience, and not on insights derived from facts. These decisions might have been sufficient in the past, but now Big Data and digitalization are changing the game. The human as a decision-maker might be the bottleneck: too irrational, too slow and not able to interpret all the data available. Algorithmic Decision-Making is taking over to implement data-driven, fast and efficient processes.
The presentation shows how to introduce decision automation into organizations and processes, when to use it and which challenges and opportunities to consider. Data Ethics emerges as a key consideration. It plays an important role in understanding that not everything that can be done should be done.