Zenysis integrates data from various sources like health management information systems, finance data, and survey data into a single platform to allow for advanced analytics. It has worked with institutions serving 1.7 billion people globally. Zenysis can triangulate different types of data, like comparing health and supply chain data, to remedy inefficiencies and anticipate issues. During humanitarian crises, Zenysis rapidly integrates multiple siloed data sources to facilitate analysis and help direct emergency response efforts. For example, after Cyclone Idai in Mozambique, Zenysis integrated surveillance, vaccination, and other data to help organizations respond to health threats and target their interventions.

1. Zenysis
Humanitarian and Crisis
Response

2. Global FootprintGlobal Footprint
Zenysis is working with national institutions
responsible for delivering healthcare to 1.7
billion people — 23% of the global
population.

3. Data Integration and Data Interoperability
3
INTEROPERABILITY
LAYER
HMIS
FINANCE
DATA
SUPPLY
CHAIN
EXCEL
REPORTS
SURVEY
DATA
HR DATA
OTHER HIS
ADVANCED ANALYTICS
Zenysis integrates programmatic,
financial, geospatial, survey and
other data into a single platform and
makes these data interoperable for
advanced analysis.

4. Bridging the
humanitarian/development divide
Zenysis
4

5. By triangulating data, a country can
compare health data and supply chain
data side-by-side to:
- remedy resource inefficiencies
- anticipate and prevent stockouts
- prioritize emergency shipments
Triangulating supply chain and health data
5
TOTAL NUMBER OF CONFIRMED CASES OF MALARIA VERSUS TOTAL NUMBER OF ACTs DISTRIBUTED
# of confirmed cases of malaria is
much higher than distribution of
necessary commodities
# of distributed commodities
is higher than demand
Confirmed cases of malaria ACTs distributed

6. Triangulating supply chain and health data (cont.)
Left: One country used Zenysis to compare incidence of priority diseases from the disease surveillance database with
vaccination coverage rates reported in DHIS 2.
Right: The immunization directorate and the directorate managing infectious disease and epidemiology monitored areas of
under-vaccination, outbreaks, or suspected outbreaks, and can make evidence-driven decisions to target their interventions.

7. Case Study
Zenysis
7

8. 8
Emergency, Disaster and Humanitarian Response
1
3
4
5
2
IN A CRISIS SITUATION, THE ZENYSIS
RAPID DATA INTEGRATION AND
ANALYTICS PLATFORM:
Integrates multiple siloed data sources in a single
platform, enabling advanced analysis of all
available data, regardless of format
Rapidly integrates data sources, making formerly
siloed data interoperable for analysis in a matter
of days or even hours
Is system agnostic and can integrate data in
almost any structured format (ex. Excel, cloud,
open source, survey, financial, climatological, etc.)
Facilitates data use through an intuitive platform
and easy to understand visualizations that help
users quickly interpret their data
Partners with governments and humanitarian
response agencies to ensure that data is used
appropriately and efficiently
UNDERSTANDING AND UTILIZING ALL AVAILABLE DATA IS ESSENTIAL FOR
FAST, EFFICIENT AND TARGETED CRISIS RESPONSE
DEVASTATING DAMAGE FROM CYCLONE IDAI IN THE CITY OF BEIRA, MOZAMBIQUE SHOWS
HOMES INUNDATED BY WATER (PICTURE: CNN)

9. 9
Cyclone Disaster Response
TO BEST SUPPORT THOSE AFFECTED BY THE
CYCLONE, DECISION-MAKERS NEEDED TO
KNOW:
- What areas are the hardest hit? How
do disease transmission patterns
differ? Is an outbreak about to
occur?
- Where are resources?
- Where have people been vaccinated
against cholera?
- Case investigation: have we followed
up and treated patients?
- Where is there bad water?
Answering these questions required speed
and information from multiple data sources

10. 10
Cyclone Idai Disaster Response
RESIDENTS STAND ON ROOFTOPS IN A FLOODED AREA OF BUZI, CENTRAL MOZAMBIQUE, ON
MARCH 20, 2019, AFTER THE PASSAGE OF CYCLONE IDAI (PICTURE: AFP)
RESPONSE BASICS
- Cyclone Idai made landfall on
March 14 with an estimated
400,000 people living in the
cyclone’s path
- Myriad actors involved with
response
- Data sharing agreement and MOU
needed
- Data integrations needed
- Collaboration with partners to
direct interventions

11. 11
Cyclone Idai Disaster Response
ANALYSTS REVIEW A SUSPECTED JAUNDICE ALERT IN mALERT, THE CRISIS RESPONSE
SYSTEM BUILT USING THE ZENYSIS PLATFORM (PICTURE: ZENYSIS)
RELEVANT DATA SOURCES
- Surveillance data (Malaria,
Cholera, Diarrhea, Fever,
Wounded)
- Case-based investigation data
(Cholera)
- Demographic data
- Water sources data
- EWARs (WHO Surveillance
System)
- Cholera lab data
- Cholera vaccination data
- Cholera rapid test data
- Plus partners’ data

12. 12
Cyclone Idai Disaster Response
MSF HAS WORKED IN MOZAMBIQUE TO REHABILITATE DAMAGED FACILITIES AND
RESPOND TO OUTBREAKS OF WATERBORNE DISEASES (PICTURE: MSF)
SNAPSHOT OF ORGS IN RESPONSE
❖ Instituto Nacional de Saúde (INS)
data users
❖ Mozambique Ministry of Health
❖ Center for Disease Control (CDC)
❖ CDC Europe
❖ World Health Organization (WHO)
vaccinators
❖ Médecins Sans Frontières (MSF)
water quality unit
❖ Oral hydration and cholera
treatment centers
❖ International Federation of Red
Crescent and Red Cross (IFRC)
❖ AMS
❖ United Nations International
Children’s Emergency Fund (UNICEF)
❖ United Nations Office for the
Coordination of Humanitarian
Affairs (OCHA)

13. 13
Cyclone Idai Disaster Response
KEYS TO SUCCESS
1
3
4
2
PARTNERSHIPS
TRANSPARENCY
DATA SHARING AGREEMENTS
ONE-TO-MANY SOLUTION

14. zenysis.co
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