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Retail Store Transaction Analysis & Dashboard ( Excel Project)
Cleaned and standardized retail transaction data, formatting Date/Time fields, handling missing values, and creating a consistent data structure for analysis
• Built interactive Pivot Table reports to analyse monthly sales performance, product volumes, and payment method distributions for management reporting
• Designed an interactive executive dashboard using KPI metrics, Slicers, and Timeline controls to monitor sales performance and support data-driven decision-making
• Identified business trends from transactional data and presented key performance information through structured reports and visualizations
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Interactive Sales Analysis Dashboard built in Microsoft Power BI to track sales, profit, profit margin, orders, and overall business performance. I used DAX measures for KPI calculations and Power Query for data cleaning and transformation. The dashboard includes dynamic filters for product, region, payment method, salesperson, store location, and date range for interactive analysis.
This project demonstrates how business sales data can be transformed into a structured dataset and converted into an interactive analytics dashboard for performance monitoring and decision-making.
I prepared the dataset, structured key metrics, and designed a reporting interface that highlights important business KPIs such as revenue performance, product sales distribution, and monthly trends.
The dashboard allows users to quickly analyze sales performance and identify trends across regions, products, and time periods.
🚨 𝗦𝘁𝗶𝗹𝗹 𝘄𝗮𝗶𝘁𝗶𝗻𝗴 𝗱𝗮𝘆𝘀 𝗳𝗼𝗿 𝘆𝗼𝘂𝗿 𝗳𝗶𝗻𝗮𝗻𝗰𝗲 𝘁𝗲𝗮𝗺 𝘁𝗼 𝗰𝗼𝗻𝘀𝗼𝗹𝗶𝗱𝗮𝘁𝗲 𝘀𝗽𝗿𝗲𝗮𝗱𝘀𝗵𝗲𝗲𝘁𝘀?
If you are making strategic decisions on delayed P&L reports, you are operating with blind spots.
When managing 𝟴-𝗳𝗶𝗴𝘂𝗿𝗲 𝗿𝗲𝘃𝗲𝗻𝘂𝗲 (€𝟭𝟳.𝟳𝟳𝗠+), static spreadsheets fail to provide the real-time cost visibility needed to protect profit margins.
Here is an executive-grade 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗙𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 & 𝗣&𝗟 𝗦𝘁𝗮𝘁𝗲𝗺𝗲𝗻𝘁 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 designed for leadership to monitor profitability, control operating expenses, and optimize cash flow in seconds.
📊 𝗞𝗘𝗬 𝗙𝗜𝗡𝗔𝗡𝗖𝗜𝗔𝗟 𝗜𝗡𝗦𝗜𝗚𝗛𝗧𝗦 & 𝗜𝗠𝗣𝗔𝗖𝗧
🔹 𝗥𝗲𝘃𝗲𝗻𝘂𝗲 𝗦𝘁𝗿𝗲𝗮𝗺 𝗩𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆: Analyzed €𝟭𝟳.𝟳𝟳𝗠 in total top-line revenue, isolating core product sales (€𝟭𝟭.𝟳𝟳𝗠) vs. consulting services (€𝟲.𝟬𝟬𝗠).
🔹 𝗠𝗮𝗿𝗴𝗶𝗻 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Automated tracking for €𝟭𝟬.𝟱𝟵𝗠 𝗚𝗿𝗼𝘀𝘀 𝗣𝗿𝗼𝗳𝗶𝘁 (𝟱𝟵.𝟲% 𝗠𝗮𝗿𝗴𝗶𝗻) and €𝟱.𝟱𝟬𝗠 𝗡𝗲𝘁 𝗣𝗿𝗼𝗳𝗶𝘁 (𝟯𝟬.𝟵% 𝗡𝗲𝘁 𝗠𝗮𝗿𝗴𝗶𝗻).
🔹 𝗖𝗼𝘀𝘁 𝗖𝗲𝗻𝘁𝗲𝗿 𝗖𝗼𝗻𝘁𝗿𝗼𝗹: Uncovered Raw Materials (€𝟲.𝟰𝟱𝗠) as 𝟴𝟵.𝟵% of total COGS, unlocking direct vendor renegotiation targets.
🔹 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝗘𝘴𝗽𝗲𝗻𝘀𝗲 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴: Monitored €𝟰.𝟱𝟳𝗠 in Opex, detailing consulting overhead (€𝟮.𝟲𝟮𝗠) and R&D spend (€𝟭.𝟰𝟯𝗠).
🔹 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗧𝗶𝗺𝗲 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲: Enabled instant drill-down across Quarters, Months, and Product Lines without relying on external paid visuals.
⚡ Automating P&L reporting eliminates manual errors, cuts review prep from days to seconds, and gives C-suite stakeholders total control over their bottom line.
💬 𝗟𝗼𝗼𝗸𝗶𝗻𝗴 𝘁𝗼 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝘆𝗼𝘂𝗿 𝗳𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗿𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴 𝗼𝗿 𝗻𝗲𝗲𝗱 𝗮 𝗰𝘂𝘀𝘁𝗼𝗺 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱?
📩 𝗛𝗶𝗿𝗶𝗻𝗴 𝗮 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 / 𝗕𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 for your team or project?
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