Power BI Dashboards & Excel Analysis -- 2

@HanyasSalem

Hi there, I am well-versed in the importance of data analysis, to say the least. My proficiency with Excel, Power BI allows for me to skillfully tackle the descriptive and inferential statistical analysis necessary for your project data. Additionally, my training has sharpened my eye for small details, which aligns perfectly with your need for clean and error-free data. Moreover, as an individual who highly values teamwork, I am certain that our collaboration would be productive. Your comprehension of the project intricacies combined with my analytical skills could produce influential insights that'll aid decision-making at various tiers of management. I always make it a priority to provide my clients with accessible and comprehensive interpretations of key findings and visuals. Wishing you all the best ? ? ?

@ShivaniGoyalsai

Hi With 15+ years of BI, Power BI, Excel, and VBA expertise, I can build your hybrid SQL/Excel predictive model. I develop robust, parameterized architectures with zero hard-coded paths to ensure error-free refreshes. Action Plan: • Data Layer: Connect SQL and Excel folders via parameterized Power Query steps for deduping, type consistency, and relationships. • Power BI: Design 3 interactive, mobile-friendly pages with multi-level drill-downs and date/region/product slicers. • Predictive Visuals: Build time-series forecasts back-tested to stay strictly within your ±5% error tolerance. • Excel Mirror: Build an ad-hoc workbook pulling clean data via advanced formulas (SUMIFS, COUNTIFS, AVERAGEIFS). Deliverables: One .pbix file, 3 dashboard pages, mirror Excel workbook, and a walkthrough video. Thanks Shivani

@Web1devloper

As an experienced data analyst, I have spent 8 years transforming intricate datasets into actionable insights. I have advanced knowledge in blending diverse data sources, a skill very crucial for your project which involves connecting Power BI with both Excel files and SQL databases. My previous work spans diverse industries - finance, healthcare, e-commerce and SaaS - precisely for the reason that I excel at optimizing operations, improving customer understanding and leveraging predictive analytics. Not only am I highly proficient with Power BI but I'm also adept in various other data visualization tools such as Tableau, Looker and Google Data Studio. Furthermore, I am a master in writing clean DAX measures which will ensure error-free visual refreshment when new data is available. You will appreciate how well-versed I am not only in Power BI but also in Excel, SQL and other relevant tools. I can whip up advanced formulas like SUMIF, COUNTIFS and more in no time. Additionally, my expertise extends to Python, R programming and Machine Learning, so if your project has further ML/deep learning tasks down the line we can discuss how we could potentially tackle those too. Let's chat about the specifics of your project soon!

@mayankinnovative

The core requirement of this project is to transform raw data from multiple Excel files and an SQL database into a clean, reliable, and management-ready Power BI solution. I will build a robust data model in Power Query by handling deduplication, ensuring data-type consistency, and creating calculated columns and relationships. Subsequently, I will develop clean DAX measures, KPI-to-transaction drill-down capabilities, slicers (date, region, product), and mobile-friendly dashboards. I will validate predictive visuals using historical back-testing to ensure forecasts remain within ±5% of acceptance criteria. Finally, I will mirror the cleansed metrics in Excel using functions like SUMIF/SUMIFS, COUNTIF/COUNTIFS, and AVERAGEIF/AVERAGEIFS. Approach: Excel Folder + SQL → Power Query → Data Model → DAX → Interactive/Forecast Dashboards → Excel Validation → Testing → Deployment & Walkthrough. The refresh process will avoid hard-coded paths, and end-to-end, error-free validation will be performed on new data. 1. Which SQL database is being used, and what is the volume of tables/records? 2. Is the structure of the Excel files consistent, or are there varying formats? 3. For which KPIs or product metrics is the forecast required? With the right architecture and validation, I can deliver a successful and easily maintainable solution.

@pvsysgroupinc

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@SyedTaha04

Hi, I’m a Data Analyst and Accounting & Finance professional with hands-on experience in Power BI, Power Query, DAX, Excel, SQL-based data workflows, and predictive analytics. I can build a clean end-to-end data model that combines your Excel files and SQL database while keeping the transformation and refresh process reliable. I’ll handle the Power Query layer for deduplication, data types, calculated fields, relationships, and data preparation, then build interactive Power BI pages with management KPIs, drill-downs, date/region/product slicers, detailed transaction views, and DAX measures. I can also incorporate trend projections and time-series forecasting where the underlying data supports reliable predictions. For the Excel side, I can mirror key metrics using SUMIF/SUMIFS, COUNTIF/COUNTIFS, AVERAGEIF/AVERAGEIFS and structured tables for ad-hoc analysis. I’m also experienced with Python and machine-learning models, so I can approach the predictive component analytically rather than relying only on built-in forecasting. I can share relevant Power BI, Excel, and predictive analytics samples in the chat. Regards, Taha

@MiguelMonteroADD

Hi, I'm Miguel, Data Analyst expert in Power BI, Excel, SQL, and Python. I have solid experience in data analysis, process automation, and building interactive dashboards tailored for executive decision-making. I reviewed your post and your requirements are crystal clear: you need to consolidate Excel and SQL data into a clean Power BI model with advanced DAX, predictive analytics, and full drill-down capabilities, while keeping Excel aligned for quick ad-hoc analysis using advanced formulas. I am extremely meticulous when it comes to data structure and modeling. I regularly work with Power Query for data transformation, build scalable relationships, avoid hardcoded paths, and leverage Python for time-series forecasting and trend projection. I'll also ensure all key metrics match perfectly between Power BI and your Excel workbooks. I can start right away, including the .pbix file, Excel workbook, documentation, and a video walkthrough. If you're looking for someone who delivers technical accuracy, clean models, and clear insights, count me in. Looking forward to hearing from you. Feel free to reach out so we can review the details and get started immediately. Best regards, Miguel Montero.

@alluankit01

Hi, I can build a clean Power BI solution that combines your Excel files and SQL data into an interactive management dashboard with drill-down analysis, reliable refresh logic, and an Excel companion workbook for ad-hoc checks. The best approach is to first structure the data model in Power Query—deduplication, type normalization, calculated columns, relationships, and reusable parameters—then build DAX measures for KPIs, transaction-level drill-through, and date/region/product filtering. I can cover: - Excel folder + SQL database integration - Power Query cleaning and transformation - Proper star-schema/data relationships - DAX measures and KPI calculations - Date, region, and product slicers - Drill-down and drill-through reporting - Three mobile-friendly dashboard pages - Trend/forecast visuals with back-testing - Excel SUMIFS/COUNTIFS/AVERAGEIFS analysis - Parameterized paths instead of hard-coded locations - Refresh documentation and walkthrough For the forecasting requirement, I’ll validate the model against historical periods and report the actual back-test error rather than forcing an unrealistic accuracy claim if the data does not support ±5%. Once I review sample Excel files, the SQL schema, and the target KPIs, I can confirm the exact model structure and delivery schedule. Best regards Ankit

@alfatrade2

I have experience building monitoring systems with data parsing from various sources and creating analytical pipelines. In your project, I see a risk with the integration of the SQL database and Excel files - it is important to ensure connection stability and automatic data updates. How do you plan to organize the synchronization between Power BI and Excel for ad-hoc analysis?

@gunjan1711

- I can build the Power BI solution by combining Excel files and SQL data into a structured model with Power Query transformations, relationships, DAX measures, interactive slicers, and drill-down from KPIs to transaction detail. - I have direct experience integrating data sources with Power BI, building data models and relationships, writing DAX KPIs, creating interactive sales dashboards, and supporting automated refresh workflows. - I can structure the Power Query layer for deduplication, data types, calculated fields, and reusable transformations, with the Excel folder and SQL source configured for reliable refreshes. - I also have direct experience with sales forecasting using Python and NeuralProphet, including zone-wise forecasting for demand planning, so I can contribute to the predictive-analysis requirement. - For the Excel deliverable, I can prepare the cleansed/key metrics using formulas such as SUMIF/SUMIFS, COUNTIF/COUNTIFS, and AVERAGEIF/AVERAGEIFS where appropriate. - I will validate the model, DAX calculations, refresh behavior, and forecast results before hand-off, and provide a walkthrough covering refreshes and report maintenance. - Estimated timeline: 6–10 working days, depending on the source schema, forecast requirements, and complexity of the three dashboard pages. Reference work is available in my profile.

@WillemS9

Hi, I've read your project description and it's something I can help with. I'm Willem, a developer who builds websites, dashboards, and business tools, and I can start right away. I specialize in Power BI and Excel integration, transforming raw data into actionable insights. I understand the importance of clean data and the need for predictive analysis in your dashboards. My experience with Power Query and DAX ensures that your models will be efficient and error-free, allowing for seamless data refreshes and reliable forecasts. To give you an accurate price and timeline, could you tell me what the most important result is for you, and whether you have a deadline? Worst case, we have a quick chat and you walk away with a free consultation on your project. Regards, Willem

@vikask073

Hi, I can create a professional and easy-to-understand Power BI dashboard from your data. I can clean and transform the data, create suitable charts and KPIs, and present Sales, City and Profit insights clearly. I will make the dashboard accurate, interactive and client-ready. I can complete this project within 2–3 days and can start immediately. I will also ensure timely delivery and make revisions if required.

@Gadvin4

With expertise in Power BI, Excel, and data analytics, I am uniquely positioned to transform your raw data into insightful, interactive dashboards. My experience of working with business operations and data analysis will ensure that not only the raw information is converted to meaningful insights but also presents a clear representation of your KPI's. Moreover, my familiarity with advanced formulas like SUMIFs and COUNTIFS makes me well-suited to create an Excel workbook that mirrors the key metrics from the dashboards in an efficient manner. I specialize in clean data handling from multiple sources and skilled in ensuring that every visual refreshes error-free regardless of new files or databases. My proficiency stretches from Power Query transformations to DAX measures and includes predictive visualizations for effective forecasting within a ±5% margin. Lastly, I appreciate the need for user-friendly solutions and understand that your story doesn't end with Power BI - it continues with Excel. Together, we can build a comprehensive system where cleansed tables flow back into worksheets with advanced formulas to facilitate your ad-hoc checks and verify the accuracy of our insights. All in all, my skills in data handling, advanced analytics, and my commitment to delivering actionable insights make me an excellent fit for this project.

@frnd1438

Hello, With over 16 years of experience and as a software agency owner, I have successfully delivered enterprise-grade applications involving complex workflows, business process automation, system integrations, data analytics, business intelligence, and reporting solutions across various industries, helping organizations transform raw data into actionable insights. Expertise: • Extensive experience in Power BI dashboard development and data visualization. • Strong expertise in data modeling, DAX, Power Query, and report optimization. • Experience integrating data from multiple sources including SQL Server, Excel, APIs, ERP, and CRM systems. • Proven track record of building executive dashboards, KPI scorecards, and operational reports. • Skilled in ETL/ELT processes, data warehousing, and analytics solutions. • Focus on performance, usability, and business-driven insights. • Ability to translate business requirements into meaningful visualizations and reports. • Clear communication and collaborative approach throughout the project lifecycle. I can start immediately and deliver efficiently. Let’s discuss your project. Regards, Pramod

@tanmays1993

Hi, in my current Finance Analyst role I've built 11 Power BI dashboards (DAX, Power Query, data modelling) for 11 client companies and automated their recurring reports, saving about 15 hours of manual work a month. For your project I would: 1. Connect Power BI to your Excel folder (parameterised paths, nothing hard-coded) and your SQL database, clean the data in Power Query (dedupe, data types, calculated columns) and build a star-schema model. 2. Build 3+ mobile-friendly pages, from a KPI overview drilling through to transaction detail, with date, region and product slicers. 3. Add trend projections / time-series forecasts and back-test them on held-out months against your +/-5% target. 4. Mirror the key metrics in an Excel workbook using SUMIFS, COUNTIFS and AVERAGEIFS. 5. Walk you through refresh steps and the DAX logic on a live call. Question: which SQL database do you use (SQL Server, MySQL, etc.), and roughly how many rows are involved?

@PriyankaAgg031

Hi, I’d be happy to work on this project. I have nearly 7 years of hands-on experience in Power BI, SQL, DAX, Power Query and data modelling, with strong experience building interactive dashboards and automated reporting solutions. My approach would be: • Connect and combine Excel folder + SQL database sources • Build a clean, scalable data model with Power Query transformations, deduplication and data-type standardisation • Create well-structured DAX measures and calculated columns • Develop interactive dashboards with KPI → drill-down → transaction-level analysis • Add slicers for dates, regions and product lines • Incorporate trend analysis and forecasting/predictive visuals with appropriate back-testing • Create an Excel output with key metrics using SUMIF/SUMIFS, COUNTIF/COUNTIFS and AVERAGEIF/AVERAGEIFS • Ensure the solution refreshes smoothly when new data is added, without hard-coded paths • Provide a walkthrough explaining refresh, DAX logic and how the solution can be extended I focus on building reliable, scalable and easy-to-maintain Power BI solutions, rather than just creating visuals. I can deliver the complete solution along with the .pbix, Excel workbook and walkthrough within the agreed timeline. Regards, Priyanka