The Healthcare Analysis Dashboard is designed to provide hospitals and healthcare administrators with a data-driven approach to monitor and analyze key financial and operational metrics. It helps in tracking billing, patient admissions, medical expenses, and treatment costs across different departments and services. This dashboard consists of two pages: 🔹 Sales Analysis: Focuses on financial insights (billing, treatment, insurance, and room charges). 🔹 Patient Analysis: Provides patient analysis (admission trends, outpatient trends, and length of stay). 1. Objectives ✅ Track billing performance across various medical procedures and services. ✅ Identify cost distribution for treatments, medications, and room charges. ✅ Monitor patient admission trends, outpatient visits, and length of stay. ✅ Compare outpatient visits across departments to optimize hospital operations. ✅ Provide interactive filters to analyze data by month, year, and location. 2.Financial Analysis 2.1 Key Performance Indicators (KPIs) Total Billing Amount – The total revenue generated from medical services. Total Medication Cost – The total cost incurred for prescribed medications. Total Treatment Amount – The total amount billed for treatments and procedures. Total Insurance Amount – The total amount covered by insurance claims. Total Out-of-Pocket Amount – The total amount paid directly by patients. Total Room Charges – The total cost of patient accommodation (room charges). 📌 Insight: This section provides a financial snapshot to help hospital administrators track total revenue, expenses, and insurance claims. 2.2 Billing Cost Analysis (Bar Charts) Billing Cost by Procedures – Displays the cost of different medical procedures, helping identify high-revenue treatments. Billing Cost by Department – Shows revenue generated by each hospital department (e.g., Cardiology, Orthopedics, General Surgery). Billing Cost by Diagnosis & Service Type (Stacked Bar Chart) – Analyzes costs based on diagnosis categories and service types. 📌 Insight: Identifies high-cost treatments and procedures. Helps hospitals optimize pricing strategies and allocate resources efficiently. 2.3 Cost Distribution (Pie Chart: Cost by Service Type) A pie chart visualizes the distribution of costs across different service types, such as: 🔹 Consultation fees 🔹 Surgical procedures 🔹 Diagnostic tests 🔹 Pharmacy charges 📌 Insight: Helps in cost control and budgeting by understanding where hospital expenses are concentrated. Supports financial planning and insurance negotiations. 3. Patient Analysis 3.1 Patient Length of Stay (Column Chart) This column chart tracks the average duration patients spend in the hospital, categorized by: Short Stay (1-2 days) Medium Stay (3-5 days) Long Stay (6+ days) 📌 Insight: Helps analyze bed occupancy rates and hospital efficiency. Allows hospitals to improve patient discharge planning. 3.2 Additional KPIs Total Admitted Patients – Total number of patients admitted for inpatient care. Total Outpatients – Total number of patients who visited for outpatient services. Total Visits – The total number of hospital visits (admissions + outpatient visits). 📌 Insight: Tracks patient flow trends over time. Helps in hospital resource management. 3.3 Outpatient Comparison by Department & Visit Type (Column Chart) Compares the number of outpatient visits across different departments (e.g., Neurology, Pediatrics, Cardiology). Differentiates between first-time visits and follow-up visits. 📌 Insight: Helps in staffing and scheduling decisions. Identifies departments with high outpatient traffic, allowing hospitals to allocate resources effectively.   3.5. Filters & Interactivity Users can refine the dashboard using three key filters: Month & Year Filter – Allows analysis of trends over different time periods. Location Filter – Helps compare multiple hospital branches or clinics. 📌 Use Case: If an administrator wants to analyze billing trends for Cardiology in Dubai for Q1 2024, they can apply the relevant filters for Department = Cardiology, Location = Dubai, and Month = Jan to March 2024. 3.6. Business Impact & Benefits 🔹 Financial Transparency – Helps track revenue and identify high-cost services. 🔹 Operational Efficiency – Assists in patient flow management and resource allocation. 🔹 Cost Optimization – Provides insights to reduce unnecessary expenses and optimize treatment costs. 🔹 Insurance Claim Management – Helps hospitals analyze insurance claims and out-of-pocket expenses. 🔹 Data-Driven Decision Making – Enables hospital administrators to make informed strategic decisions. 3.7. Conclusion The Healthcare Analysis Dashboard is a powerful tool for hospitals to monitor financial health, patient admissions, and operational performance. By leveraging Power BI’s data visualization capabilities, hospital administrators can enhance decision-making, optimize costs, and improve patient care. View Dashboard

Client: A leading retail company Developed a sales and marketing dashboard with real-time sales tracking, customer insights, and profit forecasting. Technologies Used: Power BI, SQL Server, Power BI Service The Retail Sales Dashboard provides a comprehensive view of sales performance, helping businesses analyze revenue, order patterns, and customer preferences. It includes key performance indicators (KPIs), visualizations, and data tables to offer insights into sales trends and customer behavior. 1. Key Objectives Track total revenue and sales performance. Understand order distribution across different time periods. Identify the most and least popular items varieties. Analyze customer preferences based on size, category, and order patterns. Provide actionable insights for business growth. 2. Dashboard Components 2.1 Key Performance Indicators (KPIs) These KPIs provide a quick snapshot of the overall business performance: Total Revenue – The total sales revenue generated from product orders. Total No. of Products Sold – The total quantity of products sold. Total No. of Orders – The total number of customer orders placed. Total No. of Categories – The number of different product categories available (e.g., Audio, Computer, Wearable, Electronics). Total No. of Product Types – The number of unique product  types offered on the menu. Total No. of Variety of Products – The count of different varieties (unique product names). 2.2 Order Distribution by Time of Day (Bar Chart) This bar chart divides orders into four key time slots: Morning (10 AM – 12 PM) Afternoon (12 PM – 5 PM) Evening (5 PM – 9 PM) Night (9 PM – 1 AM) 📌 Insight: Helps understand when sales are highest and lowest, guiding business decisions such as promotional offers or staffing. 2.3 Orders by Hour (Column Chart) A column chart shows the total number of orders placed each hour from 10:00 AM to 1:00 AM. 📌 Insight: Helps identify peak order hours, allowing for better inventory and staff management. 2.4 Weekly Sales Heatmap (Matrix Visualization) The matrix chart displays orders based on day of the week (rows) and time of the day (columns from 10 AM to 1 AM). 📌 Insight: Identifies the busiest days and peak time slots. Helps optimize pricing strategies (e.g., discounts on slow days). 2.5 Top 3 Items Sold | Revenue Basis (Table Visualization) This table lists the top 3 best-selling products, ranked by the number of units sold. 📌 Insight: Identifies customer favorites, which can be further promoted. Helps decide which products to keep or expand in the menu. 2.6 Bottom 3 Products Sold (Table Visualization) This table lists the 3 least-selling products, ranked by the number of units sold. 📌 Insight: Helps identify under-performing products. Assists in making decisions about menu optimization or promotions to boost sales. 2.7 Sales by Product Category (Bar Chart) A pie chart shows sales distribution across four main item categories: Audio Computers Wearable Electronics 📌 Insight: Identifies the most popular product category. Helps in planning marketing and inventory for different customer segments. 2.8 Sales by Sales Channel (Pie Chart) A bar chart breaks down sales by different Sales Channels: In-Store Online 📌 Insight: Identifies which size is most popular among customers. Helps in pricing strategy (e.g., offering combos on certain sizes). 3. Business Insights & Decision Making  🔹 Peak Selling Times – The dashboard helps pinpoint the busiest time slots for orders. 🔹 Best-Selling & Least-Selling Products – Helps decide which products to promote and which to reconsider. 🔹 Customer Preferences by Size & Category – Allows better planning of inventory and marketing. 🔹 Sales Trends Over Time – Assists in forecasting future sales and adjusting business strategies accordingly. 4. Conclusion This Power BI Pizza Sales Dashboard provides a data-driven approach to sales analysis, helping restaurant owners make informed decisions about menu optimization, pricing, promotions, and operational efficiency. By leveraging the insights from this dashboard, businesses can improve customer satisfaction and maximize revenue. View Dashbaord