Customer Trends Power BI Dashboard

@hardikshah83

Approach: Live/scheduled connections to both your Excel workbooks and SQL database, merged into a single relational data model in Power BI, with DirectQuery or scheduled refresh (whichever best fits your SQL server setup and license tier). Scope: Connect and merge Excel + SQL sources into a unified star-schema model (fact tables for satisfaction scores/transactions, dimensions for date, region, product line, demographics) Relationship mapping to enable clean slicing across date, region, product line, and other key fields uncovered in your data Interactive visuals: bar charts (comparisons), pie charts (proportional breakdowns), line graphs (trends over time) — all with tooltips, drill-through, and cross-filtering Report sections: Demographics Overview, Satisfaction Score Trend (segment-filterable), with consistent color-coding for at-a-glance pattern recognition Well-named, documented DAX measures for satisfaction scoring, trend calculations, and segment comparisons Refresh schedule configuration (gateway setup if SQL is on-prem) Deliverables: Finished .pbix file DAX logic documentation Published version on Power BI Service Hand-off call or written guide for managing refresh/data sources Timeline: 8–12 business days from data access. Before starting, I'll confirm: SQL server type/access method, sample Excel files, satisfaction score source/definition, and your Power BI license (Pro/Premium — affects refresh frequency and sharing).

@ashiruddin

I have read your requirement, I can analyse data in Power BI,using data source Excel, Google sheet, SQL Server, Mysql and any other data source. Dedicated and results-driven professional with a strong background in data analysis, visualization, and business intelligence. Proficient in leveraging Power BI to transform complex datasets into actionable insights. Adept at creating compelling dashboards and reports that drive informed decision-making. Proven ability to collaborate with cross-functional teams to deliver impactful solutions. Seeking opportunities to contribute expertise in Power BI and data analytics to enhance organizational performance.

@vishal1145

Your satisfaction scores will drift out of sync the moment Excel and SQL use different customer IDs or date formats. Without a unified data model that reconciles these sources, you'll get duplicate records or missing segments in your slicers. Quick questions - are both data sources updating on the same schedule, and do you have a single customer master table that can act as the bridge? And what's your target refresh frequency - hourly, daily, or on-demand? Here's the architectural approach: - DATA MODELING: Build a star schema with dimension tables for customers, dates, and products, then connect fact tables from Excel and SQL using Power Query transformations. - DAX LOGIC: Write calculated measures for satisfaction trends, demographic segmentation, and period-over-period comparisons with proper filter context to avoid row-level bloat. - DEPLOYMENT: Configure incremental refresh in Power BI Service, set up gateway connections for live SQL queries, and document every measure so your team can maintain it without me. I've built 8 enterprise BI dashboards that handle multi-source data pipelines without breaking during refresh cycles. Let's schedule a 15-minute call to confirm your data structure before I start the build.

@robertb297

Hi, This looks like a good fit. I work with Power BI models that combine Excel and database sources, and I can set this up so the demographics and satisfaction data work as one clean model rather than two separate reporting views. I’d keep the dashboard simple for users — clear demographic comparisons, satisfaction trends by segment, and drill-down where more detail is useful — while keeping the measures and refresh setup easy to maintain. One thing I’d like to confirm is what SQL database you’re using and where the Excel files are currently stored, as that will determine the best refresh setup in Power BI Service. Thanks,

@alluankit01

Hi, I can build your Power BI dashboard by connecting live Excel workbooks and SQL data, creating a clean model, and visualizing customer demographics and satisfaction trends. My approach will be to first review your Excel files, SQL tables, key fields, refresh needs, and required filters. Then I’ll clean and merge the data, build relationships, create DAX measures, and design an interactive dashboard with bar charts, pie charts, line graphs, tooltips, drill-through, and cross-filtering. I’m comfortable with Power BI, Excel, SQL/MySQL, data modeling, DAX, refresh schedules, Power BI Service publishing, customer analytics, satisfaction reporting, and dashboard design. Deliverables: * Finished PBIX file * Excel + SQL data connection * Clean data model * Refresh setup * Demographics overview * Satisfaction score trends * Region/date/product filters * Interactive charts * Tooltips and drill-through * Custom DAX documentation * Power BI Service publish support * Handover notes I’ll focus on accurate measures, reliable refresh, clean visuals, and well-named fields so the dashboard is easy for decision-makers to use. Best regards Ankit

@thiagofoz87

I can build the dashboard with a clean Power BI data model that combines your Excel workbooks and SQL database into a single reliable reporting layer, including scheduled refresh, relationship mapping, and well-structured DAX measures. The first step would be validating the structure of both data sources and defining the dimensional model to support filtering by date, region, product line, customer segment, and additional business dimensions identified during the analysis. From there, I would create the interactive report pages with drill-through navigation, cross-filtering, tooltips, and consistent visual hierarchy so trends and anomalies are immediately visible. For the analytics layer, I would implement: - demographics overview metrics and segmentation - customer satisfaction trend analysis over time - comparative charts for regions/products - color-coded KPIs and indicators - optimized measures with clear naming conventions I also pay close attention to refresh reliability and maintainability, especially when mixing Excel and SQL sources. The final delivery would include the .pbix file, documented DAX/business logic, and publication to Power BI Service with a short hand-off session if needed. Estimated effort is around 12-18 hours depending on data quality, existing schema consistency, and number of report pages required.

@abhay686

Hi, I have 7+ years of experience with Power BI, SQL, Excel, DAX, Power Query, and dashboard development. I can connect your Excel workbooks and SQL database into one clean data model, build reliable relationships and refresh logic, and create an interactive dashboard focused on customer demographics and satisfaction. The report will include bar, pie, and line visuals, slicers for date, region, product and customer segments, drill-through, tooltips, and well-named DAX measures. I’ll also validate the numbers against the source data and document the key calculations. You’ll receive the completed PBIX file plus support for publishing and refresh setup in Power BI Service. Let’s connect over the chat so that I can show you my previous Power BI work.

@subaigfalcon

Hi there, Your Customer Trends Power BI Dashboard project is a great match for my experience. I can build a clean, interactive dashboard that combines your Excel workbooks and SQL database into one reliable Power BI data model. I have strong hands on experience with Power BI Desktop, SQL/Excel data connections, Power Query, data modeling, DAX, data visualization, and KPI reporting. I’ll make sure the data is properly cleaned, relationships are correctly structured, and the dashboard can be refreshed reliably. For your project, I will create: • Customer demographics overview • Customer satisfaction score trends with segment filters • Interactive bar charts, pie charts, & line graphs • Slicers for date, region, product line, customer segment, & other relevant fields • Tooltips, drill through, & cross filtering • Clear and consistent colour coding for important patterns • Well named & documented DAX measures • Reliable Excel + SQL data refresh setup • Final .pbix file & Power BI Service publishing/handoff support I’ve worked on similar Power BI dashboards and understand how to build clean data models and effective visuals. I can also share relevant samples in chat. Once awarded, I’ll start immediately and deliver on time at a competitive price. I’ll also be available after delivery for any questions or minor adjustments. Let’s discuss your requirements further! Kind Regards, Sartaj

@gunjan1711

Hi, I have hands-on experience with Power BI, Excel, SQL, DAX, and data modeling, with a strong focus on building interactive customer analytics dashboards. * I can integrate Excel workbooks and SQL data into a clean Power BI model with reliable relationships and refresh-ready connections. * My experience includes customer analytics, KPI development, DAX measures, Power Query, data modeling, and interactive reporting. * I can build demographics and satisfaction views with bar, pie, and line charts, supported by slicers, tooltips, drill-through, and cross-filtering. * I can create satisfaction trend analysis by segment, region, product line, and other relevant dimensions available in the data. * I focus on accurate calculations, well-structured measures, responsive visuals, and clear dashboards that make customer patterns easy to understand. * I can also document the DAX logic and refresh setup so the report remains easy to maintain. Reference work is available in my profile.

@AbCretiv

Hi there, I can build your Power BI dashboard to seamlessly merge your SQL database and Excel workbooks into a clean, interactive report. I’ll configure the live refresh, set up custom DAX measures, build the drill-through visuals for demographics/satisfaction, and hand over the published link and .pbix file. Is your SQL database hosted on-premise (requiring a gateway) or cloud-based (AWS/Azure/GCP)? Drop me a message with the setup details whenever you're ready.

@priyam804

I’d be happy to build this Power BI dashboard and connect the Excel workbooks with your SQL database into a clean, reliable data model. I can create the required relationships and measures, organize the model for filtering by date, region, product line, customer segment, and other relevant fields, and build an interactive dashboard covering customer demographics and satisfaction. I will include bar charts, pie charts, and trend line charts with slicers, tooltips, drill-through, and cross-filtering. I will also create well-named DAX measures, document the custom DAX logic, and configure the model for reliable refreshes. The final dashboard will include a demographics overview, satisfaction score trends with segment filtering, and clear visual formatting/color-coding to make important patterns easy to identify. I can provide the completed .pbix file and assist with publishing it to Power BI Service or provide a brief hand-off explaining the setup and refresh process. Accuracy, clean data modeling, and refresh reliability will be my priorities throughout the project.

@edisonlied

I have experience building Power BI dashboards for SMEs for customers, suppliers, sales, etc. and would be happy to help with this task. I can structure data based on your requirements, make it fully interactive and publish it for further use. Specific examples from my past: customer segmentation dashboard in Power BI of an industrial manufacturer (drill-downs on customer size, customer industry, order size & order type), customer dashboard in Power BI for a laboratory (drill-downs on customer type, internal categorization, etc.) with charts included to help visual understanding of trends and changes. I’m submitting a low bid as I’m new to the platform and looking for references - I would be glad to help you on this one. Best, Zsofia