Predictors for Enhanced Analytics and Data Transformation
Target audience
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.
Key skills you will gain
- Understand how predictors transform data within DHIS2
- Design predictors that use past and/or current data to enhance analytics and model data
- Learn how to create, schedule and run predictors and predictor groups
Bootcamp description
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:
- What predictors do
- Sampling past and/or current periods for predicted data
- Predicting disease surveillance thresholds
- Answering "How many organization units have..." questions in analytics
- Carrying forward stock levels
- Moving tracker data to aggregate data
- How to configure scheduled predictor run dates
- DHIS2 2.37 predictor expression enhancements
Training highlight
Learn how to use predictors to enhance analytical reporting and to better model data
Explore sessions
Digital Doors Open
Welcome Remarks
Digital Doors Open
Participants receive access to Hopin and can browse the venue and schedule, visit expo booths, network, etc.
Welcome Remarks
Message from the Organizers: • Nicola Hobby, BAO Systems • Lars Helge Overland, HISP UiO
DHIS2 for Routine Education Data Management and Emergency Response: Uganda Use Cases
Improving Routine Data & Clinical Quality with DHIS2
DHIS2 for Donors
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.
Wanda: Assessing User Satisfaction on Using a DHIS2 Android Based Data Management System in Low Resource Settings
Global Alignment Across DHIS2-based Systems for Integrated Vector Control Data Use
The Many Ways to Slice a (Juicy Historical Data) Pie: Exploring and Comparing 4 Tools to Import Historical Data
Augmenting DHIS2 with Commercial Software
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.
Using DHIS2 as a National NTD Database to Extend Routine Data Collected by HMIS
Using a Collaborative Action Model to Ensure Data-driven Decision Making in Haiti
Development and Rollout of a Standardized DHIS2 Tracker Metadata Package for HIV Programs
