THE ANALOGY OF A BASKETBALL GAME HELPS HIGHLIGHTING THE KEY PRINCIPLES AND BENEFITS OF THE DATA-CENTRIC MODEL
The sequence of actions in a basketball game can not be predicted. However, it can be tackled with strategies, managed and we all know how to play. That means that the rules are actually defined that can allow a fluent and yet personalized game.
Any possible basketball match only needs:
All the necessary to play a game: the players, the other team, the venue, the date…
The decision context, with all the relevant information.
While playing, you can only bounce, run or throw. You can also stop playing or swap players.
What can be done: a stable set of actions. Its combination is the key of the management strategy.
Attack is when you have the ball, defense is you don’t but it is on play. If it isn’t, the game is stopped.
The visibility of the lifecycle and the current situation. There are as many visions as actors.
If the ball goes downwards, it scores. If it goes upwards, it doesn’t score.
The business rules that drive the behavior. They change frequently and the ideal is to test and learn.
Because there is no need to identif all possibilities, the artifact-centric model delivers:
A legible definition: the 4 building blocks are functional. No need of a specialist to understand how the process works.
A fully automatic system: being no pressure on the sequence, and no prescription on how it should happen, there are no exceptions over the defined process. Automatisms work well in any case, no matter how uncommon.
A personalized behavior: each case goes naturally along its own journey, different, completely adapted to the data and the context of the work-object.