Happy City

What we did

• •We met with Happy City’s team each week to understand which measures mattered, how they should appear, and how the dashboard needed to fit existing workflows. Regular reviews turned feedback into focused updates, ensuring the final views reflected the team’s reporting needs and preferences rather than a generic template.
• •We created custom scripts to gather and filter the required data where Power BI’s built-in tools were not enough. This gave the dashboard more precise control over the information it presented and brought the requested sales metrics into a single, easy-to-follow experience.
• •Inside Power BI, we built custom interactive charts and dashboard views that made sales activity and trends easier to examine. The visual structure helped users turn detailed figures into useful comparisons, providing a clearer basis for analysis and business decisions.
• •To address scalability limits within Power BI, we moved suitable database operations to the server side. This kept appropriate data work outside the dashboard while retaining the tailored filters and visual presentation the client needed.
• •The finished dashboard provided the requested information in a clear, easy-to-understand format. Custom filters and interactive visuals helped the team review sales metrics and trends in ways that matched its needs, supporting more informed decisions across its distribution and sales work.