Data Cleaning

Actionable insight requires accurate data. The impact of common data quality issues need to be avoided.  When errors remain hidden your analysis is compromised and your credibility is at risk.

With Orgvue you can:

• Identify where there are gaps, errors or inconsistencies in your data
• Rapidly clean your data:  dragging-and-dropping positions to fix broken hierarchies, and "painting with data" to make bulk edits   
• Access a record of the corrections you’ve made to get the data fixed at source

Our Six-Step Data Cleaning Process addresses broken hierarchies and data errors.  Following this process you can avoid repeatedly cleaning the same data, and establish mechanisms to prevent issues from recurring.

Pragmatism beats perfection.  To Break out of the data quality trap it's often beneficial to make do with partial data and build the momentum needed to get underlying issues addressed.