Power BI Food Security Dashboard Development Training Course

Course overview

Food security teams must turn fragmented assessment, market, climate, programme and population data into decisions that can be explained to donors, government counterparts and operational leaders. Static spreadsheets and generic dashboards make it difficult to identify deteriorating consumption, geographic gaps, price shocks, beneficiary coverage or pipeline risk. This course equips practitioners to build Power BI dashboards that connect food security indicators with the operational questions behind targeting, prioritisation and response monitoring.

Participants learn to structure food security datasets, clean and combine sources with Power Query, create a usable star-schema data model, and write DAX measures for indicators such as Food Consumption Score, reduced Coping Strategy Index, household dietary diversity, market price change, caseload coverage and response reach. The course addresses disaggregation by geography, sex, age, livelihood zone and displacement status; map-based analysis; time-series monitoring; drill-through investigation; data quality controls; and secure publication through the Power BI Service.

Instructor-led demonstrations are followed by hands-on work using a realistic humanitarian food security data pack containing household survey records, market prices, population estimates, intervention data and administrative boundaries. Participants build an end-to-end Food Security Situation and Response Dashboard, including an executive landing page, subnational analysis pages, a market monitoring view and documented measures. They leave with a reusable Power BI template, a data model specification and an implementation plan for their own reporting environment.

The programme is designed for intermediate analysts and technical staff working in humanitarian response, development programmes, social protection, nutrition-linked food security work and government early-warning systems. It is equally valuable to managers who need to commission, review or govern dashboards used for resource allocation and operational decision-making.

Course objectives

By the end of this course, participants will be able to:

• Design a star-schema Power BI data model linking household assessments, market prices, programme reach and geographic reference data
• Clean, standardise and append food security datasets using Power Query transformations and reusable query steps
• Create DAX measures for Food Consumption Score bands, reduced Coping Strategy Index, caseload coverage, price change and response reach
• Build interactive map, trend and disaggregation visuals for subnational food security monitoring
• Apply drill-through pages, report tooltips and field parameters to investigate geographic and population-group differences
• Implement data-quality checks for missing values, duplicate records, denominator errors and inconsistent administrative codes
• Configure role-level security, workspace publication and scheduled-refresh requirements in the Power BI Service
• Produce a documented Food Security Situation and Response Dashboard template with measure definitions and refresh instructions

Benefits of attending

Target competencies

Who should attend

• Food Security Analysts — who need to convert assessment and market data into defensible response insights
• MEAL Officers — who monitor programme reach, outcome indicators and geographic coverage across implementing partners
• Humanitarian Information Management Officers — who integrate operational datasets and publish controlled reporting products
• Early Warning Analysts — who track price, climate, production and consumption signals across affected areas
• Programme Managers — who need clear evidence on caseloads, targeting gaps and intervention performance
• Government Food Security and Social Protection Officers — who require repeatable dashboards for planning and coordination

Requirements and prerequisites

Participants should be comfortable working with tabular data in Excel or CSV files, including filters, basic formulas, lookups and data validation. They should understand the purpose of common food security indicators such as Food Consumption Score, coping strategies, market prices, beneficiary reach and geographic disaggregation, although they do not need to calculate every indicator manually. Prior use of Power BI Desktop is helpful: attendees should know how to import a file and create a simple visual. DAX expertise, database administration, GIS programming, survey design and advanced statistics are not required.

Training methodology

Each day combines focused instructor-led Power BI demonstrations with guided build sessions using a humanitarian food security data pack. Participants work through household assessment, market-monitoring, response-reach and administrative-boundary files rather than generic sales data. Short case discussions test how visual choices can affect targeting and prioritisation decisions. Peer review sessions assess measure definitions, disaggregation logic and dashboard usability for programme managers. On the final day, participants adapt the dashboard design to an organisational use case and produce a practical implementation plan covering data owners, refresh frequency, access controls and quality checks.

Course outline

Day 1: Food security reporting architecture in Power BI

• Decision questions for food security situation and response monitoring
• Food security data sources: assessments, markets, caseloads and programme reach
• Power BI Desktop interface, report views and file architecture
• Importing Excel, CSV and folder-based data sources
• Power Query data profiling and column-quality diagnostics
• Administrative geography hierarchies and location-code standardisation
• Star-schema principles for humanitarian reporting models

Workshop: Participants profile and clean a multi-source food security dataset, then draft a fact-and-dimension model for the dashboard.

Day 2: Transforming and modelling assessment data

• Power Query type conversion, null handling and error replacement
• Appending monthly market-price files from a folder connector
• Merging household records with population and administrative reference tables
• Unpivoting indicator columns for flexible trend analysis
• Creating date tables and active versus inactive relationships
• Survey-weight, denominator and aggregation considerations in dashboard models
• Data-quality rules for duplicate households and invalid geographic assignments

Workshop: Participants build a refreshable model that combines household assessment, market-price and response-monitoring tables with quality-control flags.

Day 3: DAX measures for food security analysis

• DAX evaluation context and filter propagation in food security models
• Calculated columns versus measures for indicator reporting
• Food Consumption Score group and percentage measures
• Reduced Coping Strategy Index averages and severity thresholds
• Household Dietary Diversity and disaggregated outcome measures
• Market price index, month-on-month change and seasonal comparison measures
• Caseload coverage, beneficiary reach and response-gap calculations

Workshop: Participants create and validate a DAX measure library for outcome severity, market change, caseload coverage and response reach.

Day 4: Dashboard design for prioritisation and operational use

• Executive dashboard layout for severity, scale, trend and response questions
• Filled maps, Azure Maps and geographic drill-down configuration
• Time-series visuals for market prices and food security outcomes
• Small multiples and matrix visuals for population-group disaggregation
• Field parameters for switching indicators and analysis perspectives
• Drill-through pages for district and livelihood-zone investigation
• Custom tooltips, bookmarks and accessibility settings for stakeholder use

Workshop: Participants develop the interactive situation-analysis and market-monitoring pages of their Food Security Situation and Response Dashboard.

Day 5: Publication, governance and dashboard implementation

• Power BI Service workspaces, apps and audience distribution
• Dataset refresh planning and gateway requirements
• Row-level security for country, region and partner access
• Measure documentation and food security indicator metadata
• Visual validation against source tables and approved reporting figures
• Dashboard review criteria for donors, clusters and programme leadership
• Implementation planning for data ownership, refresh cycles and change control

Workshop: Participants publish a governed dashboard prototype, complete a measure catalogue and present an implementation plan for their own food security reporting workflow.

Tools & standards covered

Microsoft Power BI Desktop, Microsoft Power BI Service, Power Query, Humanitarian Exchange Language (HXL)

A typical training day

Live online deliveries follow the same structure in the East Africa Time zone, with shorter screen blocks and longer breaks.

What the fee includes

How you can take this course

Certification

Participants who complete the full five days receive the Skillset Development Certificate of Completion, stating the course title, course code, dates and delivery format — suitable for professional-development records and employer reimbursement.

Frequently asked questions