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.Global Deaths - dual language
30 Anos de Histórias, 202 Países, 1 Relatório: Acabei de finalizar meu novo projeto de Power BI sobre as Causas de Morte Globais (1990-2019), agora bilíngue! Este relatório não é apenas um dashboard; é uma análise profunda de 6.160 linhas de dados, construído para ser a ferramenta mais dinâmica e intuitiva possível para explorar a mortalidade mundial. O que você vai encontrar: ✅Visão de Longo Prazo: Explore a evolução das mortes e o crescimento populacional ao longo de 30 anos (1990-2019). ✅Métricas Chave: Analise o Total de Mortes, Taxa de Mortalidade, População, Crescimento Anual (YoY) e Densidade Demográfica por país e continente. ✅Análise Profunda: Dados categorizados em 31 causas e 7 grupos principais (DCNT, Lesões, Infecciosas, etc.). ✅Modelo Multi-Idioma: Built-in com a função USERCULTURE(), permitindo que o relatório se ajuste automaticamente ao formato de números e datas do usuário (pt-BR, en-US, etc.). Este projeto também foi um exercício em otimização de dados: usei Power Query para transformar e o DAX para criar as medidas dinâmicas, garantindo um arquivo Power BI o mais enxuto possível. Interessado em ver como a saúde global evoluiu nas últimas três décadas? #PowerBI #DataAnalysis #GlobalHealth #CausesOfDeath #DataViz #DAX #BusinessIntelligence eyJrIjoiYTAwOGE3MjUtYTI5OC00NTE3LWE4YTUtYzM1N2Y3NzkxMjhiIiwidCI6ImNmNzJlMmJkLTdhMmItNDc4My1iZGViLTM5ZDU3YjA3Zjc2ZiIsImMiOjR9Construction management
One of the possible ways to manage the complicated construction process This dashboard is aimed at monitoring the project’s development including the construction of 8 buildings. It was designed for the real estate developer by the team led by Daria Filenkova in the Business Intelligence Institute headed by Alexey Kolokolov. For more examples of our dashboards, please, visit the gallery on the website https://alexkolokolov.com/en/gallery. The planned duration of the process is two and a half years. Obviously, actual performance can differ from the work schedule. Especially, if the start of one construction stage depended on the other's finishing. That is why the ability to combine all types of work on one screen is the most useful way for the CEO and the Department’s heads to keep track of all sub-processes and delays. The dashboard has 4 pages. The navigation menu is presented on the first page. The consolidated work schedule is located on the second one. There is a Gantt chart showing the schedule of all types of work completion. Also, there are three blocks with cards comparing actual, planned and target dates of works start and finish. The third page represents tasks and works. There are cards showing the number of tasks finished in time or with delay. Also, we can see the results of each contractor. The dependence between the project's status and types of work on the contractor company is shown by clicking on the table with contractors’ names. The fourth one is dedicated to human resources. There are area charts with staff and labor intensity dynamics, a table with staff dynamics by contractors, and cards comparing actual and target results. The academic experience of Alex Kolokolov includes 10 years of teaching and supervising students' graduate projects on Data Processing and Visualization. 10 years ago Alex Kolokolov founded his own company - Business Intelligence Institute, which helps business owners and decision-makers to understand big data and improve their business performance. He specialized in digital dashboards with MS PowerBI and Excel. Together with my colleagues I develop powerful tools for decision making and transform ordinary companies into data-driven businesses boosting their efficiency and performance. Also, he creates educational courses and specific training programs on data visualization and performs as a business trainer and consultant. By now he has trained 3000 people to manage data with confidence. Please, visit our website https://alexkolokolov.com/en and check Alex Kolokolov’s LinkedIn profile. We are open to cooperation and are ready to work on new interesting projects. eyJrIjoiYTQ2Mzg4YzYtNDYxZS00MGI2LTg4MjgtZTcyYWIzZDdlM2QwIiwidCI6IjQ3OTNhOTZhLTA2N2EtNDJhOC05OWRkLWU3YTdiNDk2NDAzOCIsImMiOjl9
Earned Value Management Report
Key Metrics and Visuals The report presents core EVM metrics, including: Planned Value (PV): Shown in a line chart, this represents the authorized budget assigned to scheduled work over time, giving users a clear view of planned progress. Earned Value (EV): Another key line chart tracks the value of work actually performed, allowing easy comparison with the PV to understand performance against the plan. Actual Cost (AC): A stacked bar chart visualizes the actual costs incurred, facilitating a comparison with earned value to track cost performance. Cost Performance Index (CPI): Displayed in a KPI card with visual thresholds, this metric provides a snapshot of cost efficiency, with intuitive color coding to indicate whether the project is under or over budget. Schedule Performance Index (SPI): Similar to CPI, this gauge visual highlights the project’s schedule efficiency, enabling quick identification of schedule issues. Trend Analysis To track performance over time, the dashboard includes: CPI and SPI Trends: Line graphs showing how cost and schedule efficiency evolve throughout the project’s lifecycle, offering clear visual indicators of improvements or declines. Cost and Schedule Variance: Charts for cost variance (CV) and schedule variance (SV) are available, illustrating periods of over or underperformance, helping to pinpoint critical phases or activities. Forecasting Metrics: The report includes projections for Estimate at Completion (EAC) and Estimate to Complete (ETC), displayed in line charts that predict the total cost and future expenditures of the project based on current performance. eyJrIjoiZGUzYmVmMmUtOWJjZS00NzM5LWE3ZjUtZDNkZWNjN2EzY2M0IiwidCI6IjlkMjg5NTI5LTJmMjItNGQ1ZC04MzU4LTRlYjFkNGVmYjRiMCJ9
Global Development and Macroeconomic Insights 1960-2018
Overview: Global Development and Macroeconomic Insights The global economy is a complex, ever-shifting system where the paths to human development vary wildly across borders. This Power BI dashboard transforms a massive historical matrix into an interactive, multi-page data story. By mapping 58 years of development metrics, the project explores how changes in wealth, healthcare, and digital infrastructure reshape the modern world, while utilizing advanced DAX modeling to eliminate statistical outlier bias. Data Description This comprehensive dataset tracks macro-level human and economic development indicators across 211 unique nations over a continuous 58-year timeline. Originally compiled from global administrative reporting bodies, this curated analytics-ready dataset was sourced directly from Maven Analytics. Dataset Profile Source: Maven Analytics (originally curated from the World Bank Development Indicators repository and the International Labour Organization database). Temporal Scale: Annual records spanning 1 January 1960 to 31 December 2018. Scope: 211 unique countries and territories categorized by geographic macro-regions and official income tier groups. Core Data Domains The transaction layer monitors annual indicators across four fundamental socio-economic pillars: Category Monitored Indicators Economic Status GDP per Capita (Current USD), Regional Classifications, and Income Group Tiers. Health & Longevity Life Expectancy at Birth (Years) and Infant Mortality Rates (per 1,000 live births). Infrastructure & Energy Internet Penetration Rates (% of population) and Electric Power Consumption (kWh per capita). Labor Market Dynamics Total Unemployment Rates (% of the active labor force). Key Analytical Insights & Dashboard Features The Preston Curve Dynamics: A dynamic scatter plot modeling the non-linear relationship between wealth and longevity, proving that economic growth yields sharp health returns early on but flattens significantly past higher-income thresholds. The Digitization Effect: An investigation into structural energy decoupling, highlighting how explosive global internet adoption from 1999 to 2018 flattened per capita electricity demand due to modern infrastructure efficiencies. Robust Statistical Design: Built entirely using single-direction star schema architecture. To prevent global economic giants from heavily skewing regional baselines, custom DAX measures were engineered to compute dynamic regional medians instead of simple arithmetic means. Data Source & References Primary Data Provider: Sourced via the Maven Analytics Data Playground repository. Original Administrative Sources: Global Data compiled by the World Bank Group (World Development Indicators) and the International Labour Organization (ILO). eyJrIjoiMGIxODZiNjctNTI2Ny00Y2ViLWJlNDgtNDFlM2MzNmRjNDFkIiwidCI6ImY1MTg1YWY3LTQ2YmUtNDRhNS05MDkyLWM4ZWMwZmQ4ZDBhNyJ9Healthcare Analytics Dashboard - Power BI Template
In hospitals, delays and inefficiencies don’t just cost money, they risk lives. This Healthcare Analytics Dashboard (Power BI Template) turns complex health data into clear, actionable insights that empower teams to act quickly and precisely. Designed from real hospital use cases, this tested solution helps clinical and operational leaders improve care delivery, resource planning, and financial performance. Challenges This Dashboard Solves 1. Unpredictable Length of Stay (LOS) Hospitals often struggle with forecasting patient discharge times. This leads to bottlenecks in bed availability, overcrowded wards, and delayed admissions. Without visibility into LOS trends, resource allocation becomes guesswork. This dashboard provides historical and real-time LOS analysis by department, condition, and demographic, helping hospitals predict and plan bed usage accurately. 2. Hidden Billing Inefficiencies Revenue leakages are common when billing data is scattered or inconsistently tracked across departments. Costs tied to specific treatments, medications, or admission types often go unnoticed. The financial dashboard breaks down billing data by condition, hospital wing, and treatment category, helping analysts pinpoint cost spikes and optimize spend. 3. Readmissions Due to Missed Clinical Patterns Chronic conditions like hypertension can lead to repeated ER visits if treatment effectiveness isn’t monitored. Without automated alerts, early warning signs are often missed. This dashboard flags abnormal blood pressure cases, tracks medication response rates, and alerts clinical teams for timely interventions,reducing readmission risks. 4. Workforce Planning Gaps Admission surges during weekends or specific times of year catch teams unprepared, stretching staff thin. Weekend vs. Weekday admission trends allow administrators to align staffing with actual demand patterns, not assumptions. 5. Manual and Delayed Reporting Relying on Excel sheets and outdated reports can delay crucial decisions and lead to inconsistent care quality. Automated Power BI reports eliminate manual effort, providing stakeholders with real-time, exportable, and easy-to-understand insights. Key Benefits – Why This Dashboard Matters Live Monitoring of Admissions and Bed Utilization Stay on top of patient intake, identify overcrowded departments, and reallocate beds in real time to improve flow and reduce wait times. Length of Stay (LOS) & Discharge Trend Analysis Track average stay durations by department, gender, or diagnosis. Use historical trends to forecast bed demand, avoid overcrowding, and improve discharge efficiency. Hypertension Alerts & Medication Effectiveness Tracking Get automatic alerts for patients with abnormal BP, analyze which treatments work best, and proactively manage chronic conditions to reduce complications. Billing Insights by Condition, Department, and Admission Type Quickly uncover which procedures or admission types generate the highest costs. Identify revenue opportunities or overspending areas across service lines. Demographic-Based Performance Insights Segment KPIs by age group, gender, and medical condition. This helps tailor treatment plans and improve patient outcomes across different populations. Who Needs This? Hospital Admins – Optimize resources and costs Clinical Teams – Enhance treatment protocols Revenue Analysts – Fix billing inefficiencies Healthcare Analysts – Ditch manual reports for live data Data Source: Synthetic healthcare data for illustrative use cases. eyJrIjoiZTQzNDYzYjAtNWI4MC00MDJkLWI0NGEtNTFjMjAyYWU3ZGRiIiwidCI6ImE5NDUyNTg2LTJmNGMtNGNiMS04ZDJlLTI2ODkyODllZTcyNiIsImMiOjl9Beyond the Headlines: Analyzing 380K+ Global Tech Layoffs (2020–2023)
Overview Between 2020 and 2023, the global technology sector experienced unprecedented turbulence. The industry moved rapidly from the immediate shock of the COVID-19 pandemic to a sustained market correction driven by rising interest rates, over-hiring, and a strategic shift toward AI-driven efficiency. This 5-page interactive Power BI dashboard analyzes more than 1,900 layoff events across 1,600+ companies in 50+ countries, providing insights into the impact on over 380,000 employees. Designed with a storytelling approach, the report guides users from high-level executive KPIs to detailed company, industry, and regional analysis. Dashboard Structure & Narrative Page 1: Executive Summary The Macro View Presents the overall impact through key performance indicators, including Total Employees Impacted, Companies Affected, Countries Affected, industry distribution, and layoff trends over time. Page 2: Industry Deep Dive Sector Analysis Examines year-over-year layoffs across industries using Small Multiples to compare the five most affected sectors: Consumer, Retail, Transportation, Finance, and Healthcare. This approach improves readability while reducing visual clutter. Page 3: Timeline and Waves Macroeconomic Context Combines a 100% Stacked Column Chart with an annotated Area Chart to illustrate layoff activity over time. Reference lines highlight significant global events, including the WHO Pandemic Declaration (March 2020), Federal Reserve interest rate hikes (March 2022), and the public release of ChatGPT (November 2022). Page 4: Company and Funding Funding Was Not a Safety Net Explores the relationship between venture capital funding and workforce reductions. The analysis shows that even highly funded startups and public companies implemented significant layoffs, with some reducing their workforce by 100%. Page 5: The Global Footprint Geographic Analysis Visualizes the worldwide spread of layoffs using region-based maps and donut charts. The report compares the concentration of layoffs in major U.S. technology hubs, including San Francisco, Seattle, and New York City, with their broader impact across Europe, India, and South America. Key Analytical Insights Funding Was Not a Shield Statistical analysis reveals an almost negligible linear correlation (r ≈ 0.08) between total funding raised and the severity of layoffs. Both highly funded unicorn startups and established public companies experienced substantial workforce reductions. Two Distinct Layoff Waves The analysis identifies two major layoff periods. The first was a sharp but relatively short-lived spike during early 2020. The second was a larger and more sustained wave that reached its peak in January 2023, with layoffs nearly three times greater than those observed during the initial pandemic shock. Beyond Traditional Technology Companies The largest workforce reductions occurred in technology-adjacent industries, particularly Consumer, Retail, and Logistics. These sectors expanded rapidly during the pandemic-driven e-commerce boom before experiencing significant corrections. Technical Highlights DAX Data Modeling Developed custom DAX measures and calculated columns to support dynamic aggregations, running totals, and business classifications such as Stage Grouped and Region Split. Visual Optimization Improved report readability by replacing complex multi-line charts with Small Multiples and implementing dynamic Top N filtering to highlight the most significant results. Analytics Pane Integration Added continuous-axis reference lines to connect major changes in the data with important real-world economic and industry events. User-Centered Design Designed a clear navigation experience using a structured sidebar, high-contrast color palette, and concise insight banners on every page to improve usability and storytelling. eyJrIjoiMzNlYWM5MTEtYWE5NS00ZDg1LWE1MDgtYjBkZjllMWRhMDg0IiwidCI6ImY1MTg1YWY3LTQ2YmUtNDRhNS05MDkyLWM4ZWMwZmQ4ZDBhNyJ9Executive 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 eyJrIjoiNTNhOTQ2OGYtMjE1Ni00N2Y4LThjYTktMDI5MGEzOTZjODIyIiwidCI6ImY1MTg1YWY3LTQ2YmUtNDRhNS05MDkyLWM4ZWMwZmQ4ZDBhNyJ9
