This dashboard provides a clear overview of employee performance, working hours, and key operational metrics through interactive visualizations. It helps organizations monitor workforce productivity and make informed decisions using centralized data insights.
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Global POS Sales Analysis Sales Analysis Dashboard
Industry
Retail
Region
United States
Project Size
Non-Disclosable
Overview
We built an interactive Power BI dashboard for a multi-store retail business to analyze sales, POS transactions, and inventory data. The raw data was cleaned, transformed, and modeled to create KPIs for sales trends, store performance, and stock availability. The report compares time-based performance and product demand across locations. It helps management quickly monitor operations and make data-driven decisions.
Technologies Used
Power BI
Google Sheets
Python
Power Query
DAX Calculation
Cloud Run
The Challenges
01
Handling large volumes of retail transaction and POS data which slowed report performance.
02
Building complex DAX measures for KPIs such as sales growth, YoY comparison, and stock availability.
03
Optimizing dashboard performance and reducing loading time in Power BI.
04
Ensuring data accuracy while calculating inventory and store-level performance metrics.
Solution by Datumquest
01
Collected and integrated raw retail sales, POS, and inventory data from multiple sources.
02
Cleaned and standardized the data using Power Query (removed duplicates, handled missing values, fixed formats).
03
Built DAX measures and KPIs such as total sales, YoY growth, quantity sold, and stock availability.
04
Developed an interactive Power BI dashboard with filters, slicers, and drill-down analysis.
Core Feature
Transforms retail sales, POS, and inventory data into interactive business insights.
- Interactive Power BI dashboard with slicers and filters
- Sales performance tracking and growth analysis
- Product and category level performance insights
- Easy visual insights for quick business decision making
- Time-based analysis (weekly/monthly trends & comparisons)
Outcomes
Reduced manual reporting and Excel work for the business team.
Improved visibility of inventory and stock availability issues.
Supported better operational and inventory planning.
Increased reporting accuracy and data reliability.
Allowed management to make quicker data-driven decisions.
Helped detect sales decline or growth patterns early
Payroll & Workforce Dashboard
Workforce Performance Dashboard
Employee Attendance Dashboard
Employee Leave Management Dashboard
This dashboard provides detailed insights into employee leave, sick hours, and absence patterns across the organization. It helps track leave balances, monitor workforce availability, and identify trends in employee time off. The interactive visuals enable managers to better plan staffing and maintain operational efficiency.
How Datumquest is Making an Impact
Michael Carter
E-commerce Manager
We were facing serious issues managing our large operational data in spreadsheets, which often caused crashes, slow performance, and inaccurate calculations. The team successfully migrated our data into a structured database system without any loss of information. The new system is faster, reliable, and much easier to manage compared to our previous setup. Our order tracking and record management have improved significantly, and daily operations now run smoothly. We appreciate the professionalism and technical support provided throughout the project and are satisfied with the final results
Datumquest specializes in AI, automation, data science, and analytics, helping businesses unlock data-driven insights and streamline operations.
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