BUILDING AN END-TO-END DATA COLLECTION DASHBOARD PIPELINE USING KOBOTOOLBOX and POWER BI

ABOUT THE EVENT

BUILD AN END-TO-END DATA COLLECTION → DASHBOARD PIPELINE USING KOBOTOOLBOX and POWER BI

Objective

This masterclass guides participants through the design and implementation of a complete, end-to-end data pipeline, from digital data collection to automated, decision-ready dashboards.

Using KoboToolbox and Power BI, participants will learn how data moves from collection tools into a clean, structured model that supports analysis, monitoring, and reporting. While examples draw from digital surveys, the principles taught apply broadly to survey data, operational data, and routine monitoring datasets used across health, business, research, humanitarian, and development contexts.

By the end of the masterclass, participants will have hands-on experience designing robust digital surveys, integrating live data into Power BI using APIs, cleaning and transforming datasets, and publishing a professional, portfolio-ready dashboard with automated refresh.

WHY THIS MASTERCLASS MATTERS

1. Data collection is easy, using data well is not.
   Many organizations collect large volumes of data but struggle to translate it into timely, actionable insights. This masterclass focuses on turning data into decisions, not just gathering it.

2. Decision-makers need visibility while data is still coming in.
   Static Excel reports often arrive too late. Participants learn how to build dashboards that update automatically as new data is submitted.

3. The skills taught go beyond one sector.
   KoboToolbox and Power BI are widely used across NGOs, research institutions, private sector analytics, and M&E teams. The workflows taught are transferable across domains.

4. Manual reporting wastes time and introduces errors.
   Participants learn structured, repeatable workflows that reduce manual cleaning, improve data quality, and standardize reporting.

5. Better data starts with better design.
   Poorly designed surveys create analysis problems downstream. This course shows how to design data collection tools with analysis and reporting in mind.

6. Dashboards are now an expected output.
   Organizations increasingly expect visual, intuitive dashboards. Participants learn how to present complex data clearly using KPIs, maps, and interactivity.

7. These are career-building skills.
   Whether working in analytics, M&E, research, operations, or program management, participants gain practical experience valued by employers.

8. You leave with something tangible.
   Each participant completes a live, end-to-end dashboard that can be showcased as part of a professional portfolio.

PREREQUISITES

• No prior Power BI experience required

• Basic Excel knowledge is sufficient

• Laptop with:

• Power BI Desktop (free)

• KoboToolbox account (free)

Ideal for:

• Data analysts

• M&E officers

• Research assistants

• NGO and development professionals

• Private sector professionals

• Anyone working with survey, monitoring, or operational data

WHAT YOU WILL GAIN

By the end of this masterclass, you will be able to:

• Understand how data pipelines work from collection to reporting

• Design clean, analysis-ready surveys in KoboToolbox

• Connect live Kobo data to Power BI using APIs

• Clean and transform real-world datasets using Power Query (no coding)

• Build professional dashboards with KPIs, maps, and drill-downs

• Publish and share dashboards with scheduled refresh

• Complete a capstone project suitable for your CV or LinkedIn portfolio

KOBOTOOLBOX → POWER BI MASTERCLASS OUTLINE

CAPSTONE PROJECT

Participants work on a realistic data project, such as:

• Household energy access survey

• Market price monitoring

• Public health, education, or social research survey

Each participant will:

• Design a survey

• Collect sample data

• Build a live Power BI dashboard

• Publish and share their work

MEET OUR TRAINER

Maureen Mwanzia is a public health specialist, statistician, and data scientist who helps organizations turn data into decisions. Her work sits at the intersection of data collection, analytics, data modeling, and evidence-based decision-making across health, private sector, environmental and climate, and development contexts in Africa.

She brings extensive hands-on experience designing and managing digital data collection systems using KoboToolbox, working with complex survey, operational, and monitoring datasets, and transforming raw data into clear, interactive, and actionable dashboards using Power BI. Maureen has supported health programs, businesses, research teams, and environmental monitoring initiatives to strengthen reporting, performance tracking, and real-time decision-making through practical, applied, and data-driven approaches.