Slide 1
Analytical workshop:
Producing Subnational Statistics Using HIS and Survey Data for Informed Decision-making
Adis Abeba Ethiopia - March 2024
Slide 1
TWG Retreat: Planning / Reviewing / Deliberation
Bahr Day Ethiopia
Slide 1
Report Week
Slide 2
Introduction Workshop: Power BI Dashboard
Slide 3
Project-Launching Time
Bahr Dar Nov-2022
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"unlocking insights that drive strategic decisions
and operational efficiency."

DASU-APHI

Data analytics systems are sophisticated frameworks designed to collect, process, analyze, and interpret large sets of data to extract meaningful insights and facilitate decision-making. These systems utilize a variety of techniques from mathematics, statistics, machine learning, and data mining to handle complex data models and transform data into actionable insights.  

What We Do

  • Build local capacity in data analytics and use
  • Develop digital tools to enhance system efficiency (such as dynamic dashboards and feedback loop systems)
  • Apply AI/ML and geospatial methods for targeted insights and to drive public health responses
  • Strengthen health systems through evidence-to-action strategies
  • Foster collaboration between governments, researchers, and global partners

Outcome of Project

Institutionalization of HMIS/DHIS2 data analytics platform.

Improved organization of HIS, quality assessment, and analysis of selected indicators.

Adoption of epidemiological methods, tools, and standards for knowledge management.

Strengthened capacity of APHI and ARHB for complex data analysis

Improved communications for policies, programs, and accountability

partners and Collaborators

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