BOAKYE-KWARTENG/Ghana-Household-Data-Visualization

This project transforms complex Ghana National Household Registry (GNHR) data into clear and engaging visual insights. # Ghana-Household-Data-Visualization ## Executive Summary: Communicating household survey data to nontechnical stakeholders remains a challenge in driving informed decision-making and public awareness. Within the Ghana National Household Registry (GNHR) Analytics Team, my primary role was to translate data visualizations developed by senior analysts into clear, engaging, and publication ready infographics for stakeholders, the media, and district level decision makers. Using PowerPoint and Adobe Illustrator, I designed high impact infographics that simplified multidimensional household data including demographics, poverty profiles, education, health, and livelihoods into visually structured and easy to understand formats. These outputs were for both print and digital platforms, ensuring accessibility across different audiences. By transforming charts into visual narratives, the project improved the clarity, reach, and usability of GNHR insights, enabling policymakers, development partners, and local authorities to quickly interpret key findings and support data-driven interventions. I recommend that analytics initiatives integrate visual communication workflows, ensuring that data outputs are translated into formats that drive engagement, understanding, and real-world impact. ## Business Problem: The Ghana National Household Registry was collecting large amounts of household data across regions, covering demographics, poverty profile, education, health, access to local services, sanitation, and livelihood & jobs. However, this data was not easy for stakeholders, district leaders, the media, and the public to understand. Even though analysts had developed detailed charts and visualizations, many decision makers still struggled to quickly grasp the key insights needed for planning and interventions. Without clear and engaging communication, important findings risked being overlooked or underutilized. How can complex household data and technical visualizations …