Predictors can be a powerful and sometimes overlooked tool for transforming data within DHIS2, to increase the power of analytics and to better model some data. This session is for DHIS2 users who may, or may not, know anything about predictors, but want to understand more completely how this tool can be used. The target audience for this Bootcamp includes, but is not limited to, those who want a better, high-level understanding of how predictors might fill a data analysis or data modeling need, as well as those who may be responsible for designing, configuring, and running predictors.
Predictors were originally designed to predict future expected disease levels, but now have many other uses as well within DHIS2. This Bootcamp takes a deep dive into what purposes they serve, how they function, how to create them, how to run them, and how to schedule them. Included will be an in-depth presentation of the predictor function enhancements in DHIS2 version 2.37. Experienced DHIS2 trainers and developers will provide a detailed understanding of predictors, and provide hands-on practical exercises to create and deploy them.
This Bootcamp will cover important predictor topics including:
Learn how to use predictors to enhance analytical reporting and to better model data
Participants receive access to Hopin and can browse the venue and schedule, visit expo booths, network, etc.
While donors have long supported the use of DHIS2 for projects and implementing partners, more and more donors have adopted DHIS2 as an internal reporting system. In this panel, we’ll bring a group of donor representatives together to discuss how DHIS2 adoption has supported their internal data management needs. We’ll also touch on how this adoption has helped to better align with Government and implementing partners.
DHIS2 as an open-source product has had incredible success across the development sector. However, no one software can be everything for everyone. In this panel, we’ll look at three different use cases to show how various organizations have augmented open-source DHIS2 with a commercial software, and why this approach can provide best in class solutions for a variety of use cases.