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Wednesday, June 19 • 15:30 - 16:30
Using predictors and validation rules to monitor data quality

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This technical session will be training participants on how to configure predictors, validation rules, and automated alerts to be used for outlier detection, data element reporting rate analysis, and data consistency over time.


Moderators
avatar for Scott Russpatrick

Scott Russpatrick

Analytics product manager, University of Oslo
Tell me what you like and don't like about DHIS2 analytics!

Speakers
avatar for Jim Grace

Jim Grace

DHIS2 and DATIM core developer, HISP US
DHIS2 core developer since 2013 including work in data approvals, validation rules, predictors, expression parsing, ADX, and other areas. Designed and supports the DATIM instance of DHIS2 for PEPFAR. Previously worked in Kenya for the University of California San Francisco as a PEFPAR... Read More →

How to configure alerts for outliers (2) docx
Data Quality Data Validation Analysis and Predictors for Outlier Analysis pptx
Using predictors and validation rules to monitor data quality pptx
Wednesday June 19, 2019 15:30 - 16:30 CEST
Smalltalk Ole-Johan Dahls hus - Auditorium Smalltalk (1416)
  Short session (parallel)

Attendees (50)