Class Introduction
The meeting was a Power BI dashboard presentation session led by Mr. Dinesh, where several participants shared their projects. Sahar presented a Northwind Traders dashboard with KPIs and sales analysis, and also mentioned an incomplete water resource management project. Shahad showcased a school management dashboard with KPIs, attendance, and tuition analysis, receiving feedback to improve data labels and chart choices. Hasan presented dashboards on Netflix movies and Northwind Traders, and also a sales performance report. Mohammad Shamsher impressed with a detailed electrical power consumption dashboard, featuring interactive geographical analysis. Lilibeth shared a procurement spend analysis dashboard, discussing data classification methods. Sheikh Ajuddin Khan presented a banking transactions dashboard but was advised to focus on clarity and storytelling. The session concluded with Mr. Dinesh providing feedback and insights on dashboard design and data visualization.
Power BI Dashboard Presentations
The team conducted a presentation session where students shared their Power BI dashboard projects. Sahar presented a Northwind Traders dashboard with executive reports, sales by categories, and geographical analysis, though she faced technical difficulties with her slow computer. Shahad demonstrated an international schools management dashboard featuring KPI cards, student management, attendance tracking, and employee information, with recommendations made to add data labels and improve chart types. Hasan showed multiple dashboards including a Netflix movies project and a complete Northwind Traders implementation with various interactive elements and tooltips. The instructor provided feedback on enhancing dashboards with GIF images, custom visuals like tachometer charts, and proper data labeling techniques to make presentations more engaging and professional.
Related Offerings
Electrical Power Consumption Report Review
Mohammad presented an electrical power consumption summary report that included KPIs, filters, and consumption data organized by buildings and months. The team provided positive feedback on the report's geographical analysis and real-time functionality, particularly praising the interactive map feature that allows zooming to specific facilities. While the presentation was well-received overall, the team suggested improvements including better chart formatting, enhanced background colors, and improved alignment of report components for a more professional appearance.
Data Visualization Improvement Discussion
The team discussed data visualization improvements, focusing on how to present consumption data. Almas suggested breaking down the data by both month and facility, but the team recommended using a line chart for monthly data with facility details shown in tooltips rather than combining both elements in the same chart. Mohammad Shamsher demonstrated how to modify the visualizations and was praised for his excellent geographical analysis work, which included mapping latitude and longitude data for facilities. The meeting then transitioned to prepare for Lilibeth's upcoming presentation.
Procurement Data Analytics Review
Lilibeth presented data analytics work on procurement spending, showing items with highest spend by category and supplier analysis using Power BI. The team helped troubleshoot display issues with monthly spend trends and discussed the classification method for creating frequency buckets in the data. Lilibeth explained she used Power Query to clean and organize the data, though she couldn't share the specific details due to company restrictions, and the team suggested exploring DAX formulas for future bucket creation rather than relying heavily on Excel preprocessing.
Dashboard Development Feedback Session
The team reviewed presentations from Lilibeth and Sheikh Ajuddin on dashboard development and data visualization. Team provided feedback to Sheikh Ajuddin on improving report clarity and storytelling, suggesting he focus on one clear visualization rather than multiple complex charts. Lilibeth received guidance on creating aging buckets using DAX formulas instead of Excel-based classifications. The next presentation session is scheduled for October 20th or 25th, and a special class on Microsoft Fabric, PowerApps, Power Automate, and Copilot for Excel will be held next week.
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