Expense-Revenue Power BI Dashboard

@periyannas

Hi There Nice to know your requirement. I have delivered more than Two Hundred Excel Automation Projects in the past five years. Could you really setup the transformation, modelling and dashboard. Can discuss and work with you to get this task done. Thank you. Durai

@mohjib092

Hi, I will build a clean, refresh-ready Power BI Expense vs Revenue dashboard by connecting your Excel data, creating optimized DAX measures and drill-down visuals, and delivering the complete .pbix file with documentation and a walkthrough for your finance team.

@ShivaniGoyalsai

Hi, I can build a focused Power BI Expense vs Revenue dashboard from your Excel spreadsheets, fully refresh-ready for monthly management reporting. My approach: 1. Import & transform data: connect all Excel files, clean and standardize fields in Power Query, and create a reliable refresh process. 2. Data model: build a clean finance model with date, category, revenue, expense, and variance logic. 3. DAX measures: create measures for total revenue, total expense, net position, variance, margin %, monthly trend, and cost overrun indicators. 4. Visual design: use KPI cards, trend lines, variance charts, drill-down tables, and date/category slicers so your team can quickly spot income spikes and expense issues. 5. Handover: provide the .pbix file, M/DAX notes, and a short walkthrough showing refresh and future updates. Estimated timeline: 1 day for data setup, 1 day for model/measures, and 1 day for dashboard design, testing, and handover. I also recommend future Power BI Service refresh automation once the Excel-based report is stable.

@Sahyadri96

@SahyadriTech #SahyadriTech Completed Projects: 1. Hotel Booking Management & Tracking System (Excel + VBA Script) 2. Appsheet: ERP system for textile business 3. MNGL Gas Incident Tracker & Dashboard (Google Sheets + Google Data Studio) 4. Daily Expenses Tracker (Google Sheets) 5. Option Scalping Strategy Automation (Excel VBA) 6. Nifty50 Live Option Chain Dashboard (Google Sheets) 7. Binary Trading Sheet (Google Sheets) 8. Customer Data Cleaning & Sorting Tool (Excel VBA & Python) 9. Historical Stock Closing Price Analysis for 2,600 Stocks (Excel & Python) 10. Power Bi dashboard for F1 Car racing insights 11. GOLD Loan tracking in Google sheet and Google Data studio 12. Local Taxi Tracking System (Google Sheets + Google Data Studio) 13. Appsheet Milk Drivers wages and attendance system (Appsheet + Google sheet ) Key Highlights: 1. Pay only if satisfied with the work 2. Expert in Power BI, Excel, VBA Macros, Google Sheets, Google Apps Script, and Python 3. Experience in 3 American MNCs 4. Skilled in Data Analytics, Automation, and Visualization 5. Proficient in Statistical Analysis 6. Offer Long-Term Support for all projects 7. Quick Delivery with multiple revisions I can deliver any project related to Data Analytics, Automation, and Reporting with precision and reliability.

@Andyloredo

Connecting and transforming those Excel spreadsheets into a refreshable Power BI dataset is the initial key to a successful report. I’ve built similar financial dashboards for previous clients, focusing on clear data modeling and intuitive visualizations to highlight key trends – specifically, I’ve worked extensively with DAX to create measures for variance analysis, which seems directly applicable here. I’d approach this by first importing and cleaning the data, then establishing a robust data model with appropriate relationships between tables, followed by the creation of visuals that clearly display Expense vs Revenue trends with drill-down capabilities.

@sudhir0112

Hi, I have recently completed similar Power BI finance-dashboard projects involving Excel data integration, Power Query transformations, DAX calculations, and interactive KPI reporting. I understand the importance of building a clean and reliable Expense vs Revenue dashboard that helps finance teams quickly identify trends, cost overruns, profitability patterns, and performance changes across different time periods. My approach will include structured Excel data import and transformation, creation of an optimized data model with reusable DAX measures, and development of interactive visuals with drill-downs, slicers, and dynamic date filtering for clear financial analysis. I focus on creating dashboards that are visually professional, easy to navigate, refresh-ready, and suitable for management presentations and operational reporting. I also provide organized documentation, walkthrough support, and clear communication throughout the project to ensure the dashboard remains maintainable and easy to extend in future phases. I’m available to start immediately and discuss the reporting structure and timeline further.

@manoval09

Hi, Your finance team needs a clear view of Expense vs. Revenue trends, and the brief hints there may be more to the scope than what's currently visible — which is exactly where a well-structured Power BI report can either shine or fall short. I'd approach this by building a date-intelligence layer in DAX using `TOTALYTD` and `DATESINPERIOD` so your team can slice trends by month, quarter, or custom range without waiting on IT. The report would use a waterfall chart for net position and a dual-axis line chart for the E vs. R trend — both filtered by a single slicer panel. I'd connect directly to your data source (Excel, SQL, or SharePoint) and configure incremental refresh if you need it current-day. Before I start building, one question: is your data already consolidated in one place, or do Expense and Revenue figures live in separate sources that need to be joined? That single answer shapes the first day's work — and I can have a working prototype with real data in your hands within 48 hours of access. Best regards, Val

@basant807

Hello, I build Power BI finance dashboards regularly, and this project is well within my wheelhouse. I'll start by connecting all your Excel workbooks through Power Query's folder connector, so adding new files later requires zero extra work. I'll clean and normalise the data into a single fact table built on a proper star schema with a Date dimension — the foundation for accurate, fast calculations. From there I'll write the core DAX measures: Total Revenue, Total Expenses, Net Margin, Month-on-Month variance, and YTD comparisons. Every measure gets documented in a reference sheet so your team can extend the model confidently. The dashboard will combine a line/bar trend chart, a waterfall for variance, and KPI cards for monthly targets. A dynamic date slicer and category drill-downs let you isolate cost overruns or income spikes in seconds. Conditional formatting does the flagging automatically. Delivery includes the finished .pbix, full M-code and DAX documentation, and a screen-recorded walkthrough covering refresh steps and how to extend the model. Timeline: data ingestion and modelling in 2–3 days, dashboard build in 2 days, handover on day 6 or 7. The Share the workbooks and I can start immediately. Regards, Basant

@vikramb73

I'll create a professional Power BI dashboard from your Excel data showing Expense vs Revenue trends with drill-down capabilities, dynamic date filters, and clean visuals. I'll handle data transformation, design optimal data models, provide M-code/DAX documentation, and deliver a screen-recorded walkthrough so your team can refresh and extend it independently.

@usama9291

Hello, I can help you build a clean, refresh-ready Power BI Expense vs Revenue dashboard using your Excel-based financial data. I have 3+ years of experience in Power BI, Excel reporting, and data modeling, along with Microsoft certifications including PL-300 (Power BI Data Analyst) and DP-600 (Microsoft Fabric Analytics Engineer). My approach for this project: • Import and transform Excel workbooks using Power Query • Clean and standardize the financial data for accurate reporting • Build an optimized data model with DAX measures for Revenue, Expenses, Profit/Loss, and KPI tracking • Create interactive dashboards with drill-downs, dynamic date filters, and trend visuals for management insights • Design an executive-friendly layout focused on identifying cost overruns and revenue spikes quickly Deliverables: ✔ Power BI (.pbix) file ✔ M-code and DAX documentation ✔ Refresh guidance and maintenance support ✔ Short walkthrough recording Estimated timeline: • Initial dashboard preview: 3 days • Final delivery: 6 days Future enhancements can also include automated refresh through Power BI Service and integration with additional data sources if required. Best regards, Usama Mehmood