Have you ever been wondering that all your manually recorded data is really complete and correct? No need for that now. Redbex supports data validation. This means, you can define certain rules for your data and than run a validation routine.

Let’s imagine you have a construction project somewhere in the desert of Morocco. Probably any temperature recording below zero would not make any sense there. If such data is present, this is most likely a human or a sensor error. For another project in Alaska you would probably have other rules that define ‘valid’ data. The validation rules you can build with Redbex can be much more complex than this, but the example shows that validation of data is depending on the situation you are in. The flexibility Redbex provides with its data validation functionality just aims at this situation.

Whenever validation rules are defined, your data is automatically checked against them just as you enter it. If something is wrong, you get a warning. This does not mean you cannot enter suspicious data. Who knows, that had been snow in Sahara before. But you have been warned.
Before you are ready to submit your data to your administrator, you probably want to be sure, that all those temperature measurements you have been gathering for the last half a year are really OK. Just run a validation job and see which features and observations still have problems.
You can also set up alarming, so that if some value is out of expected range, you will get an e-mail, SMS or internal Redbex message.