HUMANITARIAN DASHBOARDCOORDINATED ASSESSMENT APPROACH
PHASE III
What Are We Aiming For
• Increase the evidence base for humanitarian strategies and appeals
• Improve monitoring to the point it can inform coordination, decision making and humanitarian funding
Key Actions• Review systematically secondary information and
identify information gaps• Identify and measure an agreed set of indicators
(tip: start with 2 or 3 indicators only)• Ensure geographical and temporal synchronisation
of assessments• Establish a process for collating data from multiple
assessments• Establish a process for conducting a shared
analysis of data
Methods and Tools
• Common Operational Data Set• Survey of surveys• Humanitarian Dashboard
What Is the Humanitarian Dashboard
• A platform to systematically consolidate data from cluster leads and other sources (primary and secondary data)
• A process to facilitate cross-sectoral analysis and a shared understanding of the humanitarian situation.
• A tool to highlight information gaps and monitor CAP/programme cycles (against indicators and humanitarian caseloads)
• This leads to an output called (for now) Humanitarian Dashboard
• Important: All this is owned by the IASC. OCHA’s role is to facilitate this process
Platform ComponentsInter-sectoral Analysis• (overview/cover pages)• Comprehensive overview
(outlook, most affected groups and regions, main drivers).
• Key figures• Priority needs (as defined by HCT)• Chart: Needs, target and coverage • Response overview (against
commitment/ targets)• Analysis: Gaps and trends• Reference indicators (baseline)• Operational Constraints
Sectoral analyses• (dashboard matrix) • Data collection form (Excel) • Sectoral analysis completed by each
cluster lead:– Quantitative information: caseloads,
planning figures, coverage (vs. reached), indicators
– Qualitative information: Priority needs, analysis (affected groups, priority areas, trend, , risks, gaps, challenges), information gaps, assessment planning
• Visualisation components: cross-sectral needs/coverage chart, trend chart, baseline analysis, historic trend chart.
• Somalia: Component of the Single Reporting Format
Sectoral Page – 3 Components
1. Analysis
Highlight any changes in needs since the CAP 2012 document
(E.g. higher rates of malnutrition among people in famine affected regions)
PRIORITY NEEDS
SECTOR ANALYSIS
- most affected groups,
- most affected areas,
- trend (of needs),
- main challenges (of
- risks,
- gaps (related to caseloads
and indicators).
Elaborate on the points listed on the left and highlight changes since the CAP
2012 document
2. Caseload TrackingDATE 1: (figure established in CAP 2012 document)
1,000,000 Reliability of estimate:
DATE 2:(next update or mid-year reiview figure)
1,200,000 Reliability of estimate:
Date 3: (continue enpanding matrix with new figures)
Reliability of estimate:
DATE 1: (figure established in CAP 2012 document)
400,000 Reliability of information:
DATE 2:(next update or mid-year reiview figure)
700,000 Reliability of estimate:
Date 3: (continue enpanding matrix with new figures)
Reliability of information:
DATE 1: 200,000 Reliability of information:
DATE 2: 500,000 Reliability of estimate:
Date 3: (continue enpanding matrix with new figures)
Reliability of information:
Explanation:
1) Explain this figure (how was this estimate calculated): 2) List also people in need outside of the CAP framework (this is important to obtain a complete picture of the overall situation)
Explanation:
Detail how this figure was calcluated: If possible, list also people targeted outside the CAP framework:
NUMBER OF PEOPLE TARGETED
BEST ESTIMATE OF NUMBER OF PEOPLE COVERED
1) Explain the standards (e.g. sphere) applied to estimate the number people covered and detail the calculation: 2) List also people covered outside CAP framework (this is important to obtain a complete picture of the overall response
Explanation:
BEST ESTIMATE OF PEOPLE IN NEED
Explanation:
3. MonitoringSECTORAL OBJECTIVES(of the CAP response plan)
INDICATORS Mid-year target End-year target
Achievement as of date (dd/mm/yyyy)
Achievement as of date (dd/mm/yyyy)
1.Provide access to safe drinking water, in accordance with SPHERE standards (under strategic objective 1)
336 newly constructed or rehabilitated institutional (schools or health centres) and community water points (boreholes, protected wells, reticulated water distribution systems)
3.Improve the hygiene knowledge and daily practices of target populations (under strategic objective 1)
137,250 people who have attended a hygiene promotion training session
Overview Page
Process
COMMON REQUEST FORM
INTER-SECTORAL LEVEL:
DATA GATHERING(from clusters/sectors)
CONSOLIDATION ANALYSISby ICCM
OUTPUT
FTS OPS
CODs / FODs(humanitarian profile)
Needs assments(Assessment registry)
ANALYTICAL FRAMEWORK
Inter-sectoral analysis and clearance of draft by HCT/ICCM
(in other words: a discussion based on the information consolidated through sectoral sheets and the inter-sectoral template )
Product creation(Sequencing and alignment with other OCHA outputs and product
Other sources
3W
SECTORAL DATA COLLECTION• PRIMARY DATA (sectoral
assessments)• REVIEW OF SECONDARY DATA• MONITORING Systems
SECT
ORA
L LE
VEL:
SECTORAL CONSOLIDATION AND DATA VETTING
SECTORAL ANALYSIS by cluster leads
STAKEHOLDERS
• CLUSTERS• OCHA (HAO, IMO)• UNDAC (in certain cases)• Other (Governments, online
communities, crowd sourcing)
OCHA (IMO) HCTHCOCHA (HoO, HAO, IMO)
HCOCHA (HAO, IMO, IPO)
CAP 2012 Documents
Cross-sectoral overview pages developed for:Afg CDI NigerCAR DRC DjiboutiCHAD Haiti LiberiaoPT Somalia YemenPhilipinnes Zimbabwe KenyaS-Sudan Sudan
CONSOLIDATION ANALYSIS OUTPUTDATA COLLECTION
IMPLEMENTATION CAP CYCLE 2012
Dashboard Updates
MYR Dashboard Updates
CAP 2013Documents
Ideally 3 updates to inform midyear review (3 data points allow for better trend analysis and illustration)
Dashboard updates should inform midyear review (continuious monitoring of situation, indicators, progress towards objectives)
To monitor progress since MYR
Dashboard updates should inform development of CAP 2013 Documents
What Does That Mean for Our Colleagues in the Field?
Cluster Leads are requested to update their sectoral analysis of the needs, response and operational priorities. Cluster leads should:• Conduct a review of secondary information and identify information
gaps• Promote consistency among Cluster Members in the collection,
sharing and reporting of data, as well as on terminology usage (affected, reached, covered – see below)
• Log the cluster objectives and indicators from the CAP in to the Dashboard Matrix and highlight any changes that have occurred since the beginning of the CAP cycle
• Log caseloads and number of people covered (per main activity, e.g. provision of sustainable water), highlighting any changes that have occurred since the beginning of the CAP cycle
• Facilitate an analysis of needs and the response, based on this data. Cluster Leads are encouraged to reserve 15 minutes at Cluster meetings to review/update their sectoral analysis with their members
• Submit agreed sectoral analysis to OCHA by the agreed cut-off date
Maintenance of the Inter-Sectoral Overview
• Maintenance of the Inter-Sectoral Overview (OCHA and ICCT)
• The Inter-Cluster coordinator will work regularly with Cluster coordinators to review the sectoral needs, response and gaps/operational priorities:– OCHA will coordinate the process for maintaining the
Dashboard– OCHA will support the ICCT in undertaking the routine
analysis of the data in the Dashboard– OCHA will submit the completed and vetted Dashboard to
the HCT– OCHA will publish the Dashboard, on behalf of the HC
Consistent Terminology• Affected people include all people impacted by the crisis in one way or the other.
Not all affected people are in need of humanitarian assistance.
• People in need (caseload) is a sub-group of the affected people. They require humanitarian assistance in one form or the other.
• People targeted (beneficiaries) includes all people that the cluster system is trying to assist. This will most likely be a sub-group of the people in need taking into consideration that many are being assisted by actors not-participating in the cluster system.
• People reached include those that have received some form of assistance from a cluster member. This figure says nothing about how long and how well the assistance is helping the beneficiary.
• People covered is a more meaningful figure as it takes into consideration a standard (e.g. Sphere). There is a significant difference between following two statements: 1000 people received water (people reached), or, 1000 people received enough water to cover their needs (15 litres per day) for the next two weeks.
X. Analytical Spin-offs (Tool)
BASELINE CHART
Nr of people in need as of Dec 2010(CAP 2011 Document)
Total nr of people in need (as of 16 Sept)
Increase of people in need(change absolut, against CAP 2011 baseline)
% change (against CAP 2011 baseline)
Comments
Agricultur & Livelihoods 2,000,000 4,045,000 2,045,000 102%
Education 460,000 1,800,000 1,340,000 291%
Food Assistance 1,200,000 4,000,000 2,800,000 233%
Health - NA no data 3,700,000 na nano baseline established in CAP 2011 Doc
Nutrition (children) 376,000 450,000 74,000 20%
Protection - NA no data 2,406,600 na nano baseline established in CAP 2011 Doc
Shelter & Non-food items 1,200,000 42,000 -1,158,000 -97%
WASH 2,000,000 3,300,000 1,300,000 65%Figure includes both water and sanitation
Increase of people in need per sector in 2011
2000
460
1200
0
377
0
1200
2000
1200
1340
2800
0
0
1300
0
73
0 1000 2000 3000 4000 5000
Agricultur & Livelihoods
Education
Food Assistance
Health - NA
Nutrition (children)
Protection - NA
Shelter & Non-food items
WASH
ThousandsNr ofpeople inneed as ofDec2010(CAP2011Document)
Increase ofpeople inneed(change absolut,againstCAP 2011baseline)
Baseline Analysis
Coverage / Access Map
Funding / Progress Chart
XI. Conclusions • Facilitates dialogue: Situational analysis based on
systematically collected data • Promotes a common understanding and analysis of the
humanitarian situation• Monitors progress: Supports the HCT and Clusters in
monitoring appeal • Assists Clusters in presenting consolidated information relative
to their sector• Strategic decision-making: Informs Humanitarian Country
Team discussions• Identifies conflicting data and information gaps• Supports advocacy by illustrating key figures and issues• Minimal common denominator: Basis to compare across
emergencies by focusing on caseloads and their coverage
In the Case of Somalia…• Dashboard process helps to develop a shared
understanding of the humanitarian situation and get the figures right
• Informs data-derived products (maps, briefs, TPs)
• Helps streamline information requests (single reporting format) and creating a certain predictability in the information OCHA is requesting
• Has become a helpful tool and basis for analysis (baseline analysis, trend analysis, coverage, funding against coverage)
Next Steps…• Roll-out of dashboard process in all CAP countries
• Alignment with MIRA (multi-cluster rapid assessment) to form a suite of NATF tools and solutions
• Streamlining OCHA’s information requests (and management)
• Integration with relevant information streams (OPS, FTS)
• Develop online platform
• Making the dashboard an analytical tool (develop a framework to assist analysis similar to the MIRA)
