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.
Home / Portfolio / Case Study / Data Engineers /
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.
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)
Technologies
Built with Industry-Leading Tools
Power BI
Python
DAX Calculation
Google Sheets
Power Query
Cloud Run
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
The Challenges
01
POS Data Processing Delays
Handling large volumes of retail transaction and POS data which slowed report performance.
Advanced DAX Calculations
Building complex DAX measures for KPIs such as sales growth, YoY comparison, and stock availability.
02
Power BI Performance Optimization
Optimizing dashboard performance and reducing loading time in Power BI.
03
Accurate Inventory & Store Metrics
Ensuring data accuracy while calculating inventory and store-level performance metrics.
04
Solution by Datumquest
Collected and integrated raw retail sales, POS, and inventory data from multiple sources.
Cleaned and standardized the data using Power Query (removed duplicates, handled missing values, fixed formats).
Built DAX measures and KPIs such as total sales, YoY growth, quantity sold, and stock availability.
Developed an interactive Power BI dashboard with filters, slicers, and drill-down analysis.
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 Reynolds
Head of Customer Experience
Datumquest helped us transform thousands of call recordings into searchable business intelligence. Their AI-powered call analysis system made it incredibly easy to identify recurring customer issues, improve support quality, and reduce response times.”
Robert Kim
Director of Customer Success
The Smart Call Analysis & Search System developed by Datumquest significantly improved our operational visibility. Instead of manually listening to hours of call recordings, we can now instantly search conversations and uncover key insights within seconds.
James Carter
Product Operations Manager
What impressed us most was how seamlessly the system integrates AI, semantic search, and automation. Our managers can quickly detect patterns in customer complaints and proactively improve the service experience.
Datumquest specializes in AI, automation, data science, and analytics, helping businesses unlock data-driven insights and streamline operations.
Company
Services
Newsletter
© 2025 Datumquest. All rights reserved. A Thinkwik Company.