Business data, process data, planning data, strategic data –
mostly all of this data in the context of a business architecture is static. At Visualitics we aim to optimize value chain
assets through four core drivers – “proximity”, “visibility”, “attractiveness”,
and “movement”.
In the following example we were asked to assist in capacity
planning of emergency services using data from the operations call center. Using our easycodeproduct together
with a spatial quadrant cluster algorithm we were able to make this data
geo-intelligent as in the picture.
Spatial quadrant cluster output
Spatial quadrant cluster output
In this context business events can be modeled and planned within
the context of demographic and geographic data – simply put, we can place the event
(planned/unplanned) on a map, measure the shortest distance to the event, and
also deduct demographic risk factors from it.
This is what I call “Business Architecture on the move” –
data in context of the real world for real decision making.
No comments:
Post a Comment