cleaner, faster data
The President’s Office - "Managing outlying consumption data in the field"
Measuring Consumption "Tanzanian Government Collects Clean and Reliable Poverty Data through CWEST"
The Tanzanian President’s Office wanted relevant consumption data (notorious for its outliers) without the expense of lengthy data cleansing and re-querying.
CWEST built in intelligence with consumption data in mind, preloading units and prices to warn interviewers when an outlying line item and aggregate data is entered.
No more imputing values from other cl
usters, no more unrealistic assumptions or wasting resources on collecting outlier data that will be dropped in analysis.
To find out more, download the full Consumption case study