Expense-Revenue Power BI Dashboard

@nNamanrRathi

Hi Three quick questions 1 How many Excel files are involved in the current setup 2 Do you want monthly, quarterly, or yearly comparison visuals 3 Will the dashboard later connect with Power BI Service for auto refresh I am a Chartered Accountant and CPA having 8 plus years of experience. I have worked with clients in USA, Singapore, Australia and the UK. I specialise in Power BI including Power Queries, DAX functions, and finance dashboards. Though my presence is new here but I have served more than 300 clients till date.

@oolatunji300

As a finance professional with a deep understanding of the intricacies of your field, I’m well-positioned to take on this Expense-Revenue Power BI Dashboard project. I understand that clean data is pivotal in delivering accurate and concise financial insights, and my experience as a Chartered Accountant coupled with my growing skills in Data Analytics makes me your ideal candidate for this task. I have also been honing my Power BI skills extensively - understanding how to import, transform raw data as well as selecting the right visuals to present the insights effectively. When it comes to the designing and delivering dashboards that present complex financial information in a clear, actionable way, my proficiency cannot be overstated. My aim is not just to produce a dashboard, but also equip your team with the knowledge of how to refresh and bring more value by building on top of this initial model. This will be done in form of comprehensive documentation and screen-recording walk-throughs. In conclusion, choosing me ensures access to not only an expert at data management but someone who has proficiency and experience in finance and accounting. My meticulous nature ensures error-free operations while maintaining utmost confidentiality with respect to sensitive financial information. With me on board, you can trust that your numbers will turn into potent tools for growth. Let's build a world-class Power BI Dashboard for your expense vs revenue trends together!

@sudhir0112

Hi, I have experience building Power BI financial dashboards using Excel data sources, Power Query, and DAX-based KPI reporting for management-level analysis. I can connect and transform your Excel workbooks into a clean, refresh-ready data model focused on Expense vs Revenue trends, profitability analysis, and variance tracking. My approach includes structured data cleaning, optimized modeling, reusable DAX measures, and interactive visuals with drill-downs, dynamic date filters, KPI cards, and trend analysis charts designed for quick financial decision-making. I will also ensure the dashboard is professionally formatted, performance-optimized, and easy to refresh for future monthly reporting cycles. The final delivery will include the complete .pbix file, documented M-code and DAX logic, and a short walkthrough explaining refresh workflows and dashboard maintenance. I’m available to start immediately and can complete the project within a fast and structured timeline while maintaining accuracy and reporting quality.

@mrbhautik

Your finance team needs to spot cost overruns and revenue spikes instantly in management meetings not dig through Excel rows. I'll build that Power BI dashboard end-to-end. Here's my exact phase-wise approach: Phase 1. Excel Import + Transformation: Power Query connects all your Excel workbooks, cleans inconsistencies, standardizes date formats, and outputs a refresh-ready dataset one click updates everything automatically. Phase 2. Data Model + DAX Measures: Star schema Fact table (transactions) and Dimensions (date, category, department). Key DAX measures: Total Revenue, Total Expense, Net Variance, MoM % change, Cost Overrun flag, fully documented M-code and DAX throughout. Phase 3. Dashboard Design: KPI cards: Revenue vs Expense vs Variance at a glance Waterfall chart: Where money came in and went out Line chart: Monthly trend with dynamic date slicer Drill-down by category/department: Click to deeper level Red/green conditional formatting: Overruns flagged instantly Phase 4. Handover: .pbix file, M-code/DAX documentation, screen recording walkthrough team refreshes and extends independently. How many Excel workbooks need connecting, and are they on local drive or SharePoint/OneDrive? Share one sample Excel file. I'll return a working Power Query import and sample visual before you award the project. Since I'm building my Freelancer profile, I'm offering a competitive rate for management-meeting-ready delivery.

@ravikumarsingh1

This kind of dashboard succeeds or fails at the data-model layer, not the visuals. If the Excel sources aren’t structured properly from the start, drill-downs, refreshes, and future extensions become painful. I’ll build this as a clean, scalable Power BI model—not just a collection of charts. My Approach • Connect and transform all Excel sources using Power Query • Clean and standardize financial data for reliable reporting • Build optimized relationships and DAX measures for: Revenue Expenses Profit/Loss Variance trends Month-over-month analysis • Create an intuitive dashboard with: KPI cards Trend charts Drill-down views Dynamic date filters/slicers Cost overrun and revenue spike visibility Deliverables: • Final .pbix file • M-code and DAX documentation • Short walkthrough video for refresh and maintenance Estimated Timeline: • Data modeling & cleanup: 1–2 days • Dashboard build: 1 day • Testing & documentation: 1 day Optional future enhancements: • Scheduled refresh via Power BI Service • Additional data-source integrations I’ve handled similar Power BI financial reporting projects before, including Excel-to-dashboard transformations.

@usama9291

Hello, I can help you build a professional and 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 will include: • Importing and transforming Excel workbooks using Power Query • Cleaning and organizing the data into a reliable reporting model • Creating DAX measures for Revenue, Expenses, Profit/Loss, and KPI tracking • Building interactive dashboards with drill-downs, filters, and trend analysis visuals • Designing an executive-friendly layout for management reporting Deliverables: ✔ Power BI (.pbix) file ✔ M-code and DAX documentation ✔ Refresh and maintenance guidance ✔ Short walkthrough recording Estimated Timeline: • Initial dashboard preview: 2–3 days • Final delivery: 5 days Future enhancements can also include automated refresh and integration with additional data sources if needed. Best regards, Usama Mehmood

@graycellamerica

appy to assist with building a professional and management-ready Power BI Expense vs Revenue dashboard from your Excel datasets. We have strong experience in Power BI, financial analytics, and data modeling for enterprise reporting environments. Our approach for this project would include: • Excel Data Integration & Transformation – Connect and consolidate multiple Excel workbooks using Power Query – Clean, standardize, and structure the raw financial data – Build a refresh-ready dataset with scalable transformation logic • Data Modeling & KPI Development – Design an optimized relational data model – Create key DAX measures for Revenue, Expenses, Profitability, Variance, Growth Trends, and Cost Overruns – Implement drill-down capabilities and dynamic date filtering for flexible analysis • Dashboard & Visualization Design – Build a clean, executive-friendly Power BI dashboard – Use trend charts, variance visuals, KPI cards, category analysis, and drill-through pages – Ensure insights such as revenue spikes or expense anomalies are immediately visible • Documentation & Handover – Deliver complete .pbix source file – Provide M-Code and DAX documentation for maintainability – Share a short walkthrough video explaining refresh process and dashboard extension steps Estimated Timeline: • Data Import & Cleaning: 1–2 Days • Data Modeling & DAX Measures: 1–2 Days • Dashboard Design & Visualization: 2 Days • Testing, Documentation & Walkthrough: 1 Day