The most important thing for a route optimizing tool is delivering a good and realistic plan. In the past, we have already discussed how bad data quality can be recognized. In this blog, we will talk about how to avoid bad routing plans.
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Kevin De Meu
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In today's data-driven world, data is for many businesses as essential as the blood in our veins. Companies store a lot of data in all types of systems. Storing data is important, but storing low quality data makes it a useless effort. When we look at optimization packages, data is THE most important factor. Using data with low quality, equals non-usable outcomes of the optimization. Garbage in is garbage out. So, detecting that garbage and turning it into a valuable asset is an necessary first step. Data cleaning is a process that might require too much time but as experience grows, you get to know the quick sanity-checks that will often save a lot of time. Below we list some validations, ranging from 1-minute scans to deep analysis simulations.
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