What does a UAE F&B dataset reveal when you treat it like a story, not a dashboard?
I built a 10-chapter interactive report on a sample dataset covering 50 brands, 300 outlets, menus, reviews, promotions, delivery quotes and in-app search rankings. A few findings that surprised me: 10 chains run 76% of all tracked outlets On the same outlets, delivery apps rate restaurants ~0.4 higher than Google 20 of 27 negative reviews blame service, speed or wrong orders, not the food Pizza brands run 45% of all promotions, and most sit at exactly 30% off In-app search rewards category fit (avg rank #9) over brand size (#16 off-category) Built in Power BI with a custom theme, designed page backgrounds and chapter navigation. Feedback welcome, especially on the storytelling. #PowerBI #DataAnalytics #DataStorytelling #DataVisualization #UAE
Executive Sales Performance & Profit Leakage Dashboard
Interactive Multi-Page Analytics Dashboard: Business Performance Overview Overview This interactive Power BI report provides an end-to-end analytical view designed for enterprise decision-making, performance tracking, and trend analysis. Built with a high-density, multi-page architecture, the dashboard translates complex data models into clear, actionable visual stories across key operational and strategic dimensions. Report Structure & Page Breakdown The dashboard is structured into 5 core pages housing 57 customized visual elements, designed to guide users from high-level summaries down to granular root-cause analysis: Page 1: Executive Overview (12 Visuals) Provides executive-level KPIs, high-level summary cards, primary trend lines, and top-tier breakdowns to establish an immediate snapshot of organizational performance. Page 2: Performance Drivers & Breakdown (11 Visuals) Focuses on comparative analysis across key operational dimensions, utilizing dynamic visual structures to isolate primary performance drivers and variance against targets. Page 3: Deep-Dive Operational Metrics (16 Visuals) Serves as the high-density analytical hub of the report, leveraging matrix layouts, distribution charts, and detailed cross-filtering visuals for thorough data exploration. Page 4: Historical Trends & Forecasting (13 Visuals) Dedicated to longitudinal tracking, seasonal patterns, and predictive performance indicators across variable time horizons. Page 5: Summary & Strategic Takeaways (5 Visuals) A streamlined, targeted landing view offering concise summary metrics, key dynamic callouts, and curated directional insights. Technical & Design Highlights Modern PBIR Definition Architecture: Built utilizing Power BI's enhanced report definition format, ensuring optimized metadata structure, rapid visual rendering, and clean layer management. Standardized Color & Visual Hierarchy: Styled using the default updated base theme (CY26SU07) to maintain high accessibility, contrast compliance, and cohesive visual branding across all 57 visual containers. Interactive Cross-Filtering: Fully integrated cross-highlighting and slicing across all visual elements to enable quick context switching without breaking visual flow. Robust Data Model Backend: Powered by an integrated Data Model with compressed tabular relationships, structured metadata, and embedded security bindings for secure, scalable enterprise deployment. How to Interact with This Story Navigate Pages: Use the left navigation panel or tab bar to step through the narrative flow from Executive Overview through Strategic Takeaways. Filter Context: Select elements inside line charts, bar visuals, or slicers to cross-filter connected visuals across the current page. Drill Down: Right-click specific visual data points to drill through to underlying operational details. Data Source & References Primary Data Provider: Sourced via the Maven Analytics Data Playground repository. If you like the visual please drop a kudos or comment eyJrIjoiNTNhOTQ2OGYtMjE1Ni00N2Y4LThjYTktMDI5MGEzOTZjODIyIiwidCI6ImY1MTg1YWY3LTQ2YmUtNDRhNS05MDkyLWM4ZWMwZmQ4ZDBhNyJ9Sales 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.Oil & Gas Operations Dashboard | DataFlip
Running oil and gas operations means balancing production, equipment, maintenance, safety, and costs. When these areas are tracked through separate reports, it becomes difficult to spot downtime, underperforming sites, and rising costs early. This dashboard brings key operational data into one clear view, helping teams act faster and improve performance. Business Impact This dashboard helps organizations: Track production, revenue, downtime, maintenance, safety, and emissions Identify underperforming sites and unused capacity Analyze equipment downtime and maintenance costs Monitor asset reliability and operational efficiency Compare performance across sites and regions Track safety incidents and CO2 emissions Support faster, data-driven operational decisions It helps energy teams reduce downtime, improve asset performance, strengthen safety, and gain better control over operations. Who Can Use This Template Oil & Gas Operators Energy Managers Asset Performance Teams Maintenance Leaders HSE Teams Operations Executives Production Analysts Discover more insight-driven templates built for real business decisions. Visit DataFlip
African Gig Economy & Digital Wallet Risk Analysis
For the August #DataDNA challenge, I developed a Power BI report focused on understanding fraud exposure, fraud drivers, and operational risk across a digital wallet ecosystem serving the African gig economy. The objective was to move beyond reporting metrics and answer three business questions: What is the current risk exposure? What factors are driving fraud risk? Where should controls and monitoring be strengthened? To support this analysis, the report was structured into three sections: Executive Risk Overview Assess transaction performance, fraud exposure, disputes, and reversals. Fraud Driver Analysis Identify the customer, behavioural, and transaction characteristics associated with elevated fraud risk. Operational Risk & Controls Evaluate dispute patterns, reversal behaviour, transaction timing, and market risk indicators to identify opportunities for intervention. Key Observations Fraud exposure was more closely associated with customer behaviour, transaction type, and channel usage than demographics alone. USSD channels and Cash-In transactions consistently recorded elevated fraud rates. Month-end periods showed increased cash-out activity and reversal risk. Observed fraud exposure did not always align with expected market risk levels. The report also incorporates recent Power BI enhancements, including Donut Chart Center Value and Drop-down Slicer features introduced in the August Power BI update. Source: https://datadna.onyxdata.co.uk/challenges/august-2026-datadna-african-gig-economy-and-digital-wallet-analytics-challenge/Executive Financial Dashboard — a three-statement model that reads like a CFO wrote it
Most financial dashboards are scoreboards — they show what the numbers are but never why they matter or what to do about it. I wanted to build one that thinks like a CFO instead. This is a dynamic three-statement dashboard (Income Statement, Balance Sheet, Cash Flow) built on a star-schema model across three fiscal years. The idea behind it: every page opens with a plain-language verdict a CFO could read in ten seconds, and the whole narrative recomputes when you change the year. A few things I focused on: Headlines that lead with the problem. Written in DAX — e.g. "Behind plan — net income materially below budget" — rather than burying the miss under a growth figure. Driver-and-action insights. Instead of "revenue below budget," the dashboard reasons from the data to "behind plan on volume, not cost — re-baseline the plan." A CFO Attention panel that surfaces the single most actionable finding (like a rising collection-time trend with cash tied up in receivables) as a named, color-coded alert. Custom SVG KPI cards rendered entirely as DAX measures, for layout and conditional formatting beyond native visuals. Built with a shared set of "signal" measures that compute severity once and drive every page consistently — SWITCH, ISBLANK guards, and variance decomposition doing the narrative logic. Try it live — change the fiscal year to watch the narrative recompute. Feedback welcome.Burnout Analysis
Burnout Analysis explores employee work patterns to identify factors associated with burnout risk. The dashboard examines workload, screen time, meetings, sleep, breaks, after-hours work, and task completion to highlight high-risk patterns and provide an interactive view of employee well-being and work behavior.Credit Portfolio Analysis by Economic Sector
This Power BI report was designed to provide an executive view of the credit portfolio of Nicaraguan microfinance institutions, using publicly available data from CONAMI (National Microfinance Commission). The dashboard enables users to analyze portfolio balances by economic sector, department, and reporting period through an intuitive and modern interface inspired by financial platforms. Interactive filters and visual comparisons help identify portfolio distribution, trends, and regional concentration. The report includes: Executive summary with key portfolio indicators. Credit portfolio analysis by economic sector. Credit portfolio analysis by department. Interactive page navigation. Custom animated SVG backgrounds and HTML-based KPI cards. This project was developed as a showcase of advanced Power BI design and visualization techniques, combining interactive analytics with custom SVG animations, HTML visuals, and a modern executive-style interface to create an engaging and intuitive user experience. --------- Este informe de Power BI fue diseñado para ofrecer una visión ejecutiva de la cartera de créditos de las microfinancieras de Nicaragua, utilizando información pública publicada por la CONAMI (Comisión Nacional de Microfinanzas). El tablero permite analizar los saldos de cartera por sector económico, departamento y período de reporte mediante una interfaz moderna inspirada en plataformas financieras. Los filtros interactivos y las visualizaciones facilitan la identificación de tendencias, la distribución de la cartera y la concentración regional. El informe incluye: Resumen ejecutivo con los principales indicadores. Análisis de la cartera por sector económico. Análisis de la cartera por departamento. Navegación interactiva entre páginas. Fondos animados en SVG y tarjetas KPI desarrolladas en HTML. Este proyecto fue desarrollado como una demostración de técnicas avanzadas de diseño y visualización en Power BI, combinando análisis interactivo con animaciones SVG personalizadas, contenido HTML y una interfaz ejecutiva moderna para ofrecer una experiencia visual atractiva e intuitiva.
HDB at a glance
A quick look at the resale housing prices in Singapore using data obtained from Housing & Development Board (HDB), covering price trends and price analysis. Been looking at housing prices recently and took the opportunity to experiment with some custom HTML visuals. Design Inspiration: https://www.hdb.gov.sg
