Data Quality

//Data Quality

Hightlight of Redbex that describes how data quality is maintained, i.e. with approval, planning, validation, etc.

Ensure your data is valid

By | August 26th, 2016|Categories: Data Quality, Highlight|

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 [...]

Observation Planning

By | July 15th, 2016|Categories: Data Quality|

With Observation Planning Redbex provides a mighty tool for comparing planned observations with the actual observations recorded i.e. the monitoring plan with the actual performed measurements. This can be used to compare actual monitoring work against contractually agreed targets and to plan future monitoring tasks. […]

Approval workflows

By | July 13th, 2016|Categories: Data Quality, Highlight|

Redbex provides data control through its approval process.