Monitoring the Quality of Data Collection in the Field to Enhance Accuracy
Time: 11:20 am
day: Day One AM Track One
Details:
- Recognizing the bad data: what does “dirty data” look like?
- Writing and implementing policy/procedure to prevent future creation of bad data
- Providing field teams with the tools and techniques required to collect data effectively
- Creating dashboards for display of clean data with a slicer/filter to catch outliers before they become issues
