Retail Data Dashboards

Designed to give store managers, commercial analysts, and franchise owners a single, reliable view of store performance. Through interviews and workflow audits, we identified that users needed to quickly understand sales context, gaps, and opportunities without switching between multiple dashboards or Excel files. The new dashboard consolidated essential KPIs – sales, AOV, inventory levels, seller performance, and sellout trends – into a clean, drill-down structure that allowed users to explore data by store, operator, or cluster. A mobile version ensured visits and audits could be performed directly in-store, increasing on-the-ground decision speed.

Built to support CRM and marketing teams, this dashboard surfaced behavioral insights and segmentation patterns previously buried in spreadsheets. It included recurrence metrics, average ticket, channel preferences, cohort analyses, and filters for demographic and behavioral segmentation. These views helped teams identify audience clusters, tailor campaigns, and detect shifts in purchasing patterns. Performance was a major challenge – the dashboard processed extremely large datasets – so the layout and filters were redesigned to reduce processing cost while increasing clarity.

The Revenue Analysis Dashboard was fully redesigned after the merger that brought 30+ brands under one structure. The goal was to simplify multi-brand financial analysis and reduce visual noise while expanding analytical depth. The new version introduced a clearer KPI hierarchy, intuitive navigation across brands and categories, and richer interactivity through optimized filters, contextual tooltips, and drill-downs. The layout was updated to align with the group’s new identity and ensure consistency across dashboards. By reorganizing components and leveraging Tableau’s native features, users gained faster access to YoY comparisons, goal tracking, and revenue insights with greater confidence and less effort.

All dashboards adopted a unified set of visual and interaction patterns to improve clarity and accelerate decision-making. Visualizations were standardized for quick scanning – bar and line charts, treemaps, and chart-tables – with consistent color rules, hierarchy, and formatting. Interactions such as drill-downs, tooltips, and optimized filters enabled deeper exploration without losing context. Highlighted KPI blocks and visual indicators improved performance interpretation, while YoY comparisons and goal tracking strengthened strategic analysis. In partnership with the Tableau developer, we also optimized performance by reducing heavy calculations, restructuring filters, and replacing elements that increased load time.

I built a Tableau-ready design system with tokens (color, spacing, typography), data-viz patterns, templates, KPI blocks, and navigation components. The templates – already optimized for performance – were the biggest accelerator, reducing development time by 85%. Components were designed to avoid performance-heavy elements such as rounded cards, custom fonts, and repeated data extractions.