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 eyJrIjoiOTA1OGYwZWYtMjVhNS00NTY0LTgzNmYtNGJhZWJkNGE1ZTViIiwidCI6ImJmYjZiODdiLTViODUtNDkxMS1hYWMxLTJkODIyMThiOGQ4ZCIsImMiOjl9ESG Risk Landscape Analysis
About the Report The ESG Risk Analysis for S&P 500 provides a data-driven assessment of Environmental, Social, and Governance (ESG) risks across leading U.S. companies. The report highlights key risk drivers, identifies high- and low-performing sectors, and evaluates company-specific exposures to ESG-related issues. Its purpose is to illuminate risk, inform action, and empower responsible leadership by integrating sustainability insights into decision-making. Key Insights: Overall ESG Risk: Most S&P 500 firms are in the Medium Risk range; a smaller group shows High or Severe risk, demanding urgent attention. Risk Components: Environmental: Elevated in Energy and Basic Materials sectors. Governance: Linked to board structure and shareholder rights. Social: Driven by labor practices, safety, and community impact. Controversies: Firms with High/Severe controversies record significantly higher risk scores. Sector Outlook: High Risk: Energy, Basic Materials, Consumer Cyclical. Lower Risk: Technology, Financials, Healthcare (with exceptions). Notable Companies: High Risk/Controversy: WFC, XOM, META, CAT. Low Risk/Controversy: XYL, WDC, WELL. Scale Factor: Large firms like Walmart and Amazon face elevated risks due to operational scale and workforce size. Benefits: Enhances transparency in corporate sustainability reporting. Enables data-driven ESG strategies and early risk mitigation. Builds investor confidence through responsible disclosure. Supports long-term value creation by linking sustainability with performance. Skills: Data Analytics · OpenAI GPT Agents · DAX · Microsoft Power BI · Data Modeling · Environmental, Social, and Governance (ESG) · SQL · Microsoft Azure · XGBoost eyJrIjoiZTZlOWQ0OTktZWRjYi00Nzc4LTllZjYtOTdiOWU3NzQxYmYyIiwidCI6IjkyNTcwMDE0LWZmM2QtNDAxMC04MTNkLTQxM2YwZmY5OWQ5MiJ9Sales 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.Contoso by SpartaBI
The dataset for this report is the 'Contoso 100K' from the 'Mastering Tabular Course' resources by the amazing SQLBI.com The report layouts are the ones used in the famous 'Sales & Returns' report from Microsoft at the end of 2019 and were downloaded from the 'scrims' section in powerbi.tips. The report has six pages (plus a home page) where each page is a showcase for different analysis requirements for a business. In each page you will find more information about the analysis and visuals on that page. The different pages are: Main KPIs, Main Funnel, Sales VS Budget, Basket Analsyis, Customer Profiles, and The Customer Roulette. The dataset is enriched with several calculation groups - among them a calculation group for dynamically display numbers, based on their value, in order to show for each number three meaningful digits (18.7M or 5.51 M on the same visual). The dataset is also enriched with logic to support the budget and funnel scenarios. More info about that in their respective pages. This report is optimized for the Power BI mobile app. We'll love to hear your feedback. Visit us at: www.spartabi.com or www.linkedin.com/company/spartabi eyJrIjoiODdmMjY0ZDAtM2E1NS00MmNhLTkzYzUtNzY2MzBlYzg2NWFkIiwidCI6IjQ2NGVkZmFhLTc5MmQtNGZmOC04NGYwLTk0MjkwYTgzNjBhZSIsImMiOjl9Optimising 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. eyJrIjoiNTNjMjVhMzctNTgwMC00MzViLWEzODMtY2RiYWNiY2ExZGM2IiwidCI6IjBmNDBhZjEwLTI5MTgtNGVlMC1iMjY1LWQ2ZjAwNjc4ZjU4NSIsImMiOjh9Homebuilder Revenue, Aging & House Plan Analysis Report
Monitor your company's Sales, Revenue, Aging, Costing, House Plans etc at every stage of engagement in homebuilding. Analyse the reports by period, stock status, region, division, community and phase. Drill down and analyse your data right from region to lot level. With one true and reliable source of data, eliminate the need for multiple systems to accommodate different aspects of your business. The report demonstrates : Revenue by Calendar Year Revenue by Fiscal Year Revenue by Rolling Period Revenue by Region or Divison/Market Sales by Week Aging by Lot/Qty Aging by Revenue House Plan Analysis Comparision by Quarter, Last 3 years Community View I have made use of the new Bookmark feature of Power BI in order to design the report and try to ease the way report was navigated earlier. eyJrIjoiMWRmYThhMzgtYzI5YS00NDYyLThhMzQtZmI4MmE4OTlmMjBjIiwidCI6IjFkM2Y5MDQwLTY5MGQtNDViYi1iNTNkLTVkN2E3NmY4NDE2ZiIsImMiOjEwfQFinancial Statement Analysis with Power BI
This all-in-one Power BI template can help Businesses intuitively analyse Financial Statements (Balance Sheet, Profit & Loss) for multiple entities in various periods. All figures can be analysed on monthly basis (MTD) or Year to date basis (YTD). Moreover, the template provides variance analysis between actual and budget or current vs prior year. There are also various KPI ratios help Businesses quickly highly Financial risks. For Financial analysis with your own data or for more templates, please visit here: https://dataxan.com/power-bi-templates/ DaTaxan.com Your Trusted Business Consultant & Training Partner eyJrIjoiNGViNWUzZGEtYTlkMS00ZWZjLWExYjEtNTc1YWQ3NmZhYmY3IiwidCI6IjkxMTA0MDg5LWIzZWUtNGE0Mi1iM2IyLTY5YzdmMjMwNzFmYyJ9
