Sales and Financial Performance
Sales and Finance Dashboard Why a unified Sales & Finance dashboard matters (and what it actually fixes) The Importance of This Dashboard Most teams split sales tracking from financial reporting. Sales sees revenue; Finance sees cost. They rarely meet in one place until it’s too late. This dashboard exists to close that gap. It connects execution to profitability. You can move from an executive summary down to the individual transaction without switching tools. It shifts the conversation from “How much did we sell?” to “What did we actually earn?” Profit, COGS, margin, and cost-per-unit are built in—not calculated separately. It serves both micro and macro decisions. The same structure supports a rep reviewing their profile, a manager coaching a team, or a leadership team reviewing monthly trends. It replaces scattered reports with one interactive source. Year, country, category, and product filters apply across views, so the data stays consistent. Key Benefits of Having It For Sales Managers & Team Leads Manage by profit contribution, not just revenue. Identify which countries, categories, or users are pulling the team down. Compare team/rep performance on a common baseline. For Finance / Controllers / CFO Monitor true profitability by geography and product line. See cost structure (COGS) directly against revenue without manual reconciliation. Validate margin efficiency at a glance. For Executives / Leadership Get a high-level pulse (revenue, profit, shipments, trends) instantly. Spot concentration risk and monthly shifts without waiting for static reports. Make faster strategic calls backed by consistent data. For Operations / Analysts Drill from summary to line-item detail when needed. Filter, search, and audit individual transactions by date, rep, country, or product. Reduce time spent stitching spreadsheets together. For Individual Sales Reps Understand their full impact—revenue, units, profit, and margin—not just a top-line number. Track YoY progress in one view rather than across multiple files. Bottom Line Benefit You stop making decisions on half the story. Revenue without cost is misleading; cost without sales context is blind. This brings both into one workflow, faster decisions, clearer accountability, and less reporting overhead. For more, visit: https://arbazahmad-bi.netlify.app/ Thank you.Dubai Real Estate Insights | Where data meets decisive property strategy.
About the Report: The Dubai Real Estate Insights Dashboard is an interactive analytics platform designed to deliver a holistic view of Dubai’s real estate performance. It serves as a centralized, visual cockpit for executives, analysts, and stakeholders to monitor market trends, property transactions, and sector dynamics in real time. Built for clarity and decision impact, the dashboard translates raw data into actionable insights, enabling better understanding of market health, sales activity, and channel performance across locations, time periods, and property categories. Need for the Report: The Dubai property market is fast-moving, data-intensive, and highly segmented. Decision-makers require timely, consolidated, and visual insights to identify emerging opportunities and manage portfolio risks effectively. This report meets the need for a unified, automated view that empowers leadership to make evidence-based strategic and investment decisions. Usage: Executives: For high-level performance tracking and strategic market evaluation. Analysts and Advisors: To explore sub-market trends, buyer behavior, and sales channels. Developers and Investors: For demand forecasting, price benchmarking, and identifying high-growth segments. Key Insights: Combines summary metrics and drill-down analytics for a 360° market view. Enables trend tracking across property types, locations, and sales channels. Facilitates comparative analysis to measure performance against benchmarks. Technology Used: Developed using Microsoft Power BI, leveraging: Dynamic dashboards for real-time updates and intuitive exploration. DAX-based measures for accurate KPI calculation and comparative insights. Data modeling for integrating sales, transaction, and market datasets. Row-level security and role-based access for controlled visibility. Automated refresh and drill-through features for enhanced interactivity. Skills: Microsoft Power BI · Microsoft Copilot · Data Modeling · Data Scraping · Extract, Transform, Load (ETL) · Data Governance · Python (Programming Language) · Data Cleaning · DAX eyJrIjoiNzA1ZmUyM2YtODc3Mi00NTgxLTk1YzYtNmExNjY1NzFhZmY3IiwidCI6IjkyNTcwMDE0LWZmM2QtNDAxMC04MTNkLTQxM2YwZmY5OWQ5MiJ9
Fantasy Premiere League Analytics Hub v3
Multi Seasonal Report to help Fantasy managers track player performance discover hidden gems and undervalued assets Main changes from previous version: Changed the pipeline from just python > powerbi to python >sql databae > powerbi' This was done to handle multi season analysi as the previous pipeline wasnt fit to do so Utilised bronze silver gold staging in sql More contextualised kpis Customiseable charts (parameters) Utilised HTML visuals for KPIs, Visuals (player explorrer page) and tooltips Star Schema Data Model eyJrIjoiMTVjMTdkMWEtZTQwOS00NDM0LTkxYTEtMjJmODY2ZDhmMTY0IiwidCI6ImQxMjA2OTQzLWJmY2MtNGM3NC04MmQ0LTA1ZTYzYTQzMzViZiJ9Pizza Sales Report
Five business insights from data Most Pizza Selling In 16-20 Hours. Most Selling Large Pizza Name of Thai Chicken. At 8242, Friday Had the Highest Sum Of Quantity And Was 36.57% Higher Than Sunday, Which Had The Lowest Sum Of Quantity At 6035. Quarter 2 Has Increase Pizza Quantity. Quarter 4 Has Decrease Pizza Quantity eyJrIjoiOTA1OGYwZWYtMjVhNS00NTY0LTgzNmYtNGJhZWJkNGE1ZTViIiwidCI6ImJmYjZiODdiLTViODUtNDkxMS1hYWMxLTJkODIyMThiOGQ4ZCIsImMiOjl920 Line Graphical Techniques
20 Line Graphical Techniques A collection of techniques that can be implemented natively for the line chart visual of Power BI. Who is this demo for? Decision makers who need to visualize metrics on time horizons with context and perspective which facilitates greater understanding about its performance across time. Power BI developers on how they can implement these techniques with the native features of the line chart visual of Power BI. Questions this demo aims to answer? The different ways we can show one metric across time using the native features of the line chart visual of Power BI along with demonstrating the significance of intermediate DAX formulas to enhance dynamically the native settings of the visual. developed by carlos barboza | June of 2024 eyJrIjoiNmE1MDY4M2UtMWYyNy00MmFlLTk5ZGItY2M2NDRmMmJhNzFkIiwidCI6IjEwZWM3OTJjLTU4NzctNGU1ZS05OGE5LTFiMWQ3YTNjM2RlYiIsImMiOjR9EducaTV Portifólio
Portifólio de vídeos EducaTV Youtube Recomendamos visualizar pelo FireFox Visite nossos outros relatórios: https://community.fabric.microsoft.com/t5/Data-Stories-Gallery/Um-relat%C3%B3rio-de-testes-de-possibilidades/td-p/4832617 https://community.fabric.microsoft.com/t5/Data-Stories-Gallery/DINOSAURS-REBOOT/m-p/4148138 https://community.fabric.microsoft.com/t5/Data-Stories-Gallery/The-Beasts-of-Mesozoic/td-p/5128222 https://community.fabric.microsoft.com/t5/Data-Stories-Gallery/Global-Deaths-dual-language/td-p/4839470 eyJrIjoiYTU5YzZhZGYtZWJlYS00YzQ5LWI5YzMtMWYyNzE4ZmQ4OTcyIiwidCI6ImYxYjUwNGEzLWM3MDctNGMyOC05YmJmLWQ0ZTExOTQ0MDY4NyJ9&pageName=a8a9a3650029effc4c8d
Discover the Latest Microsoft Fabric Updates & Connect with the Community
Discover the Latest Microsoft Fabric Updates & Connect with the Community, Thu, Dec 12, 2024, 6:00 PM | Meetup Join us for an engaging evening of insights, learning, and networking as we explore the latest in Microsoft Fabric, the all-in-one analytics platform that revolutionizes how businesses manage data, analytics, and business intelligence. From data engineering and lakes to real-time analytics, Microsoft Fabric delivers a unified ecosystem to maximize your organization's data potential. This meetup is tailored for professionals and enthusiasts passionate about leveraging Microsoft Fabric's capabilities. Whether you're a seasoned pro or just starting out, this is your chance to connect with like-minded peers and industry experts. Agenda 18:00 – Arrive, grab a drink, and find your spot Introduction & Purpose of the User Group Learn about the goals of this user group and how we aim to foster a thriving community around Microsoft Fabric. 18:15 – (Un)limited Lakehouse Power! Get the Most Out of Your Capacity Maximize your Microsoft Fabric experience with tips and insights on fully leveraging your lakehouse capacity. Speaker: Niels Siepe & Martin Wille, Obungi GmbH 19:00 – Short Break 19:15 – What's up and coming in Microsoft Fabric In this session, you’ll learn all about the latest updates in Microsoft Fabric and get a glimpse of what’s on the roadmap. Plus, look forward to an exciting demo! Speaker: Niels Siepe & Martin Wille, Obungi GmbH 20:00 – Panel Discussion & Drinks Engage with our speakers and participants in an open panel discussion while enjoyingPower BI Blog Collection
About 'Power BI BLOG COLLECTION' is a platform for integrating high-quality articles from different authors. Here you can more easily learn or find BI-related skills. It also provides intelligent tag classification for all articles (according to their titles), which helps you quickly search it in specific fields. Good luck and enjoying! Refresh Daily Version 1.0 eyJrIjoiMjA3Y2M4MjAtNmJjMi00Y2I0LTkzY2ItMmMzMGM3ZDQzOTVkIiwidCI6IjhkMjMzOTM4LTM0YmEtNDBmNi04ZTM1LTI2N2NkOTRhOGVhMSIsImMiOjEwfQ%3D%3D
Live Weather Dashboard
Live IoT Weather Dashboard This is a real-time weather dashboard powered by a custom-built DIY IoT weather station. While many weather dashboards available online use static datasets or merely change color schemes on the same template, this project is fundamentally different. It is a live system that bridges the gap between physical hardware and digital analytics. Technical Overview Data Collection: Unlike dashboards that rely on CSV uploads, this station utilizes an ESP8266 microcontroller paired with DHT11 and BMP280 sensors. Live readings for Temperature, Humidity, and Pressure are logged directly to Google Sheets in real-time. Region-Specific Calibration: Specifically calibrated for the unique tropical climate of the Trichy, Tamil Nadu region, ensuring localized accuracy that global APIs often miss. Advanced Analytics: Using only four raw data points (Timestamp, Temp, Humidity, and Pressure), I have developed a custom suite of DAX measures. These calculate complex weather trends, "feels like" temperatures (Heat Index), and atmospheric dew points. Dynamic Visuals: The interface isn't just a static skin; it features weather-dependent iconography and a custom refresh schema that ensures the data you see is as fresh as the air outside. Why this stands out Most dashboards you see are "re-skins" of existing templates. This project demonstrates a full-stack data engineering pipeline: Sensor → Microcontroller → Cloud Storage → Power BI Logic → End-User Visualization. eyJrIjoiYTVjNzg4MzMtZDJlMS00NmY5LWI1ZDItNzRhMjRmNDdkZWIwIiwidCI6IjBjM2QwNTc2LTFkOWYtNGM4Ny05OTNjLTg2YjQ0MGE1YjA3OCJ9
