The real voyage of discovery consists not in seeking new landscapes, but in having new eyes.
My process is simplistic, iterative, and open to discovery.
We conquer complexity by circulating through phases of
exploration, building, verification, and production:
Starting with business understanding: Identifying decision makers, finding processes that generate data and evaluating the actions of each decision maker.
Followed by data understanding: Identifying correct and creating appropriate data sources.
Data preparation and data modeling happens in parallel: Focussing on cleaning data and structuring it for the modelling phase. Once the data is clean and prepared for the current iteration, calculations and modelling can commence.
Finally, the evaluation phase allows us to test if the result is feasible for the iteration outcome. The data model is either deployed or re-entered into the next cycle iteration.