Boost Supply Chain Performance Through Data-Driven Dashboards
Why You Need This Supply Chain Management Dashboard In today’s fast-paced and complex supply chains, businesses struggle with stockouts, excess inventory, unreliable suppliers, rising logistics costs, and poor visibility across operations. These challenges lead to lost sales, wasted capital, and inefficiencies that hurt profitability. This Power BI dashboard brings all your critical supply chain data into one place, turning disconnected metrics into actionable insights. It helps you make faster, smarter decisions to reduce costs, improve service levels, and drive operational excellence across inventory, procurement, logistics, manufacturing, and sales. 1. Smart Inventory Insights & Optimization Monitor stock levels, turnover rates, and supplier lead times to balance inventory. Align procurement with demand patterns to reduce stockouts and excess stock. 2. Supplier Evaluation & Cost Efficiency Track lead time, cost, quality, and delivery volume across suppliers. Identify top-performing suppliers to control costs and ensure consistency. 3. Logistics Costing & Delivery Optimization Analyze shipping cost per unit, region, and transportation mode. Identify best routes and carriers by evaluating delivery performance and return rates. 4. End-to-End KPI Dashboard Monitor revenue, orders, shipping costs, and production quality in one view. Use demographic and product insights to forecast demand and guide strategy. 5. Production Performance & Quality Tracking Compare production targets vs. actuals to manage capacity. Reduce defects through analysis of supplier and product-specific quality issues. 6. Customer Profitability & Sales Analysis Discover high-value customers and revenue-driving demographics. Analyze sales, costs, and margins across regions and product categories. eyJrIjoiYTczMjdlNTQtZjM0OS00Y2M3LWJmYzMtMTYxNWQ3MWRiMmMxIiwidCI6ImE5NDUyNTg2LTJmNGMtNGNiMS04ZDJlLTI2ODkyODllZTcyNiIsImMiOjl9
Fabric Fraud Intelligence - Agentic fraud investigation on Microsoft Fabric
Fabric Fraud Intelligence is an end-to-end fraud detection and investigation demo built on Microsoft Fabric. It combines a Rayfin, Fabric App, Fabric SQL, Lakehouse, Fabric IQ Ontology, Data Agent, Eventhouse/KQL, Power BI, and an agentic investigation workflow for card fraud, AML, claims fraud, entity graphs, and human-approved decisions. Key highlights: Fraud command center with alerts, risk scoring, and exposure KPIs Case detail with Customer 360, evidence, timeline, and grounded agent chat Entity graph to explore fraud typologies and connected customers Fraud IQ scenario showing how investigation can move from manual multi-step work to an explainable agentic workflow Human-in-the-loop decisions with auditability and OneLake writeback patterns The public deployment uses synthetic seed data and deterministic agent responses. It does not expose anonymous access to the underlying Fabric SQL database, Lakehouse, Ontology, Data Agent, Eventhouse, semantic model, or report. VibeHub page: https://vibehub.microsoft.com/app/etienne-sigwald-fabric-fraud-intelligence GitHub repository: https://github.com/EtienneSIG/Fabric_Fraud_analysis Demo video: https://raw.githubusercontent.com/EtienneSIG/Fabric_Fraud_analysis/main/video/Fabric%20Fraud%20Intelligence%20%28live%29.mp4Fabric Fraud Intelligence — Agentic fraud investigation on Microsoft Fabric
Fabric Fraud Intelligence is an end-to-end fraud detection and investigation demo built on Microsoft Fabric. It combines a Rayfin Fabric App, Fabric SQL, Lakehouse, Fabric IQ Ontology, Data Agent, Eventhouse/KQL, Power BI, and an agentic investigation workflow for card fraud, AML, claims fraud, entity graphs, and human-approved decisions. Key highlights: • Fraud command center with alerts, risk scoring, and exposure KPIs • Case detail with Customer 360, evidence, timeline, and grounded agent chat • Entity graph to explore fraud typologies and connected customers • Fraud IQ scenario showing how investigation can move from manual multi-step work to an explainable agentic workflow • Human-in-the-loop decisions with auditability and OneLake writeback patterns The public deployment uses synthetic seed data and deterministic agent responses. It does not expose anonymous access to the underlying Fabric SQL database, Lakehouse, Ontology, Data Agent, Eventhouse, semantic model, or report. VibeHub page: https://vibehub.microsoft.com/app/etienne-sigwald-fabric-fraud-intelligence GitHub repository: https://github.com/EtienneSIG/Fabric_Fraud_analysis Demo video: https://raw.githubusercontent.com/EtienneSIG/Fabric_Fraud_analysis/main/video/Fabric%20Fraud%20Intelligence%20%28live%29.mp4HR Workforce Analytics Dashboard | DataFlip
Managing people data across different systems can make it difficult to understand employee trends, retention risks, and workforce performance. Without clear insights, HR teams often react to problems after they impact productivity and engagement. This dashboard brings workforce data into one clear view, helping leaders make smarter people decisions. Business Impact This dashboard helps organizations: Track employee attrition, retention, and workforce trends Analyze engagement, satisfaction, and work-life balance insights Identify departments with retention risks and performance gaps Monitor training effectiveness and employee development Understand workforce demographics and composition Create dynamic HR insights to support better decisions It helps HR teams improve retention, strengthen workforce planning, and build a more engaged workforce. Who Can Use This Template HR Directors CHROs and HR Executives HR Business Partners People Analytics Teams Talent Management Leaders Learning & Development Teams Workforce Planning Teams HR Consultants and Advisory Firms Discover more insight-driven templates built for real business decisions. Visit DataFlip eyJrIjoiYjhmZGM3MjAtNmJjZS00OWM2LWE4OWMtYzliYWM5MjkwZmY0IiwidCI6ImE5NDUyNTg2LTJmNGMtNGNiMS04ZDJlLTI2ODkyODllZTcyNiIsImMiOjl9Optimising Sidebar Navigation (expandable) for Power BI Reports: Tips and tricks
I've recently developed and tested this functionality. It requires quite a bit of bookmarking but is manageable without any performance issues. To configure this efficiently, I recommend using Visual Studio Code to edit the Power BI report (PBIP) directly in the sidebar navigation. This method allows for quicker configuration compared to manual adjustments within the PBIX file. This feature is particularly useful when working with a large number of pages in Power BI visualisations. eyJrIjoiNTNjMjVhMzctNTgwMC00MzViLWEzODMtY2RiYWNiY2ExZGM2IiwidCI6IjBmNDBhZjEwLTI5MTgtNGVlMC1iMjY1LWQ2ZjAwNjc4ZjU4NSIsImMiOjh9Daylight Check: Window to Floor Area Ratio on a BIM Model
This report checks the window to floor area ratio of a residential building level by level, directly on its BIM model. Most building codes require the glazed area to be at least one eighth of the floor area: here every level gets its ratio, compared against that threshold, and the levels that fall short turn red on the 3D model. The model is an IFC file converted into tabular data with Vcad, so glazed areas, floor areas and levels come straight from the model, with no manual schedules. How to use it: - Click a level in the bar chart or in the table to isolate it. Cards, donut, table and 3D model filter together. - Use the Level slicer to jump to a specific floor. - Switch between As designed and What-if. The what-if scenario reduces the glazing on levels 2, 8 and 14 to 35% and shows which levels stop complying. - The donut shows where the glass is, grouped by band of levels. Colors on the model: blue for glazing, yellow for levels that pass, red for levels below 1/8. The ratio is computed on the gross floor area of each level, which makes it a conservative early check rather than a room by room verification.
Building a Modern Marketing Campaign Operations App with Microsoft Fabric & Rayfin
Excited to share a new project: Fabric App – Rayfin Marketing Campaign Operations! Built using Microsoft Fabric, Rayfin, React, interactive maps, persistent workflows, and performance analytics, this application demonstrates how organizations can move beyond dashboards and create operational apps directly on top of Fabric data. ✅ Campaign workflow management ✅ Interactive geospatial visualisation ✅ Embedded analytics & KPIs ✅ Modern React-based experience A great example of how Microsoft Fabric can power both analytics and business applications on a unified platform. Marketing teams often manage campaigns across multiple regions, channels, and vendors. While analytics platforms provide visibility into campaign performance, operational actions still happen outside the analytics environment through emails, spreadsheets, and disconnected applications. This creates challenges such as: Limited operational visibility Manual campaign tracking Delayed decision-making Fragmented workflows Lack of location-based campaign insights The application combines: Microsoft Fabric as the unified data platform Rayfin for application development React for modern user interaction Geospatial Maps for regional campaign visibility Persistent Workflows for campaign management Analytics Dashboards for performance monitoring The solution demonstrates how organizations can: Business Need Solution Campaign Tracking Persistent workflow management Regional Insights Interactive maps Performance Monitoring Embedded analytics Faster Decisions Real-time data access Operational Efficiency Unified application experience Conclusion: This project demonstrates how Microsoft Fabric and Rayfin can be combined to create modern, data-driven operational applications that move beyond traditional dashboards. By integrating interactive maps, persistent workflows, React-based experiences, and analytics, organizations can empower business users to both understand and act on their data from a single application. If you are exploring how to operationalize your Fabric investments beyond reporting, this project provides a practical example of what's possible.Building a Modern Marketing Campaign Operations App with Microsoft Fabric & Rayfin
🚀 Excited to share my latest Microsoft Fabric application built using Rayfin, React, interactive maps, persistent workflows, and performance analytics. This solution demonstrates how Microsoft Fabric can be used for more than analytics by enabling operational business applications directly on top of Fabric data. I recently built an interactive marketing campaign operations application using Microsoft Fabric, Rayfin, React, interactive maps, persistent workflows, and real-time analytics. The goal was simple: demonstrate how business teams can move beyond static reports and spreadsheets to a fully interactive operational application running directly on top of Fabric data. The Challenge Marketing teams often manage campaigns across multiple regions, channels, and vendors. While analytics platforms provide visibility into campaign performance, operational actions still happen outside the analytics environment through emails, spreadsheets, and disconnected applications. This creates challenges such as: Limited operational visibility Manual campaign tracking Delayed decision-making Fragmented workflows Lack of location-based campaign insights Solution Architecture The application combines: Microsoft Fabric as the unified data platform Rayfin for application development React for modern user interaction Geospatial Maps for regional campaign visibility Persistent Workflows for campaign management Analytics Dashboards for performance monitoring Key Features 🗺️ Interactive Campaign Maps One of the most exciting capabilities is geospatial visualization. Users can: View active campaigns by location Identify regional performance differences Drill into campaign details Monitor coverage across territories Instead of looking at rows in a table, stakeholders can instantly understand campaign reach on a map. 🔄 Persistent Workflow Management Campaign execution requires multiple steps and stakeholders. The application enables: Campaign creation Approval workflows Status tracking Ownership management Execution monitoring Workflow state persists even after users leave and return to the application, creating a true operational experience rather than a simple dashboard. 📊 Campaign Performance Analytics Analytics are embedded directly into operational processes. Business users can monitor: Campaign ROI Regional performance Campaign effectiveness Operational KPIs Trend analysis This removes the gap between insights and actions. ⚛️ Modern React-Based Experience The application delivers a responsive and intuitive experience using React. Benefits include: Fast performance Interactive user experience Component-driven architecture Easy extensibility Mobile-friendly design Why Rayfin + Microsoft Fabric? Many organisations already use Fabric for analytics but struggle when they need operational applications. Rayfin enables teams to: ✅ Build applications directly on Fabric data ✅ Reduce application development complexity ✅ Accelerate business solution delivery ✅ Combine analytics and operational workflows ✅ Create engaging user experiences without extensive custom development This dramatically shortens the time between identifying a business problem and delivering a working solution. Repository 🔗 GitHub: https://github.com/nikunj11itdhm/Fabric-App-Rayfin-MarketingCampaign I'd love to hear feedback from the community and discuss ideas for future enhancements such as AI-powered recommendations, Copilot integration, and predictive analytics. #MicrosoftFabric #FabricApps #Rayfin #React #PowerBI #DataEngineering #Analytics #DataApps #MicrosoftDataPlatform #CommunityShowcaseIBCS inspired Fabric app designed with Framework Skill
I created the following app with Claude Code, OPUS 5.5 and subagents. - I used an IBCS Skill which I developed for creating IBCS-inspired custom Visuals - I also used a Semantic model which was used for Controlling Demo cases before - The layout: I used a framework I used before to align Power BI reports to Grids -The idea is to provide the coding agent with skills, a playbook, and a framework to generate reproducible, similar outputs. Maybe this is not the crazy cool report for a showcase, but is the report the finance and controlling department will like ;) at least the ones in Germany ;-)Accounts Receivable Dashboard
📊 Accounts Receivable Dashboard for Enhanced Financial Oversight An interactive Power BI dashboard developed to provide end-to-end visibility into receivables performance, supporting proactive credit control and cash flow optimization. 🔹 Core Features: Summary of Total Invoices, Payments, Outstanding Balances, and Due Invoices Receivables Ageing by customer with overdue flags and settlement timelines Trend insights on monthly receivables, payment behavior, and balance fluctuations Dynamic filtering by Year, Month, Product, Region, and Sales Representative 🎯 Value Delivered: Improves operational efficiency by enabling real-time monitoring of ageing receivables, supporting quicker recovery actions, and enhancing overall working capital health. Designed for finance and commercial teams to align collection strategies with data-driven insights. Thanks, eyJrIjoiMmM2OWQ3ZWItZDBmNS00ZjUyLTk2NTMtOTZhNGQwM2Y1ZjhkIiwidCI6ImQ4ZTFiMDVlLTcwYWEtNGVmNy1iODc4LTQ2NmI2ODhmOTUyZiJ9
