Dataset Description:

The myusabank.csv dataset contains daily financial data for a fictional bank (MyUSA Bank) over a two-year period. It includes various key financial metrics such as interest income, interest expense, average earning assets, net income, total assets, shareholder equity, operating expenses, operating income, market share, and stock price. The data is structured to simulate realistic scenarios in the banking sector, including outliers, duplicates, and missing values for educational purposes.

Potential Student Tasks:

1. Data Cleaning and Preprocessing:

   • Handle missing values, duplicates, and outliers to ensure data integrity.
   • Normalize or scale data as needed for analysis.

2. Exploratory Data Analysis (EDA):

   • Visualize trends and distributions of financial metrics over time.
   • Identify correlations between different financial indicators.

3. Calculating Key Performance Indicators (KPIs):

   • Compute metrics such as Net Interest Margin (NIM), Return on Assets (ROA), Return on Equity (ROE), and Cost-to-Income Ratio using calculated fields.
   • Analyze the financial health and performance of MyUSA Bank based on these KPIs.

4. Building Tableau Dashboards:

   • Design interactive dashboards to present insights and trends.
   • Include summary cards, bar charts, line charts, and pie charts to visualize financial performance metrics.

5. Forecasting and Predictive Modeling:

   • Use historical data to forecast future financial performance.
   • Apply regression or time series analysis to predict market share or stock price movements.

6. Business Insights and Reporting:

   • Interpret findings to derive actionable insights for bank management.
   • Prepare reports or presentations summarizing key findings and recommendations.

Educational Goals:

The dataset aims to provide hands-on experience in data preprocessing, analysis, and visualization within the context of banking and finance. It encourages students to apply data science techniques to real-world financial data, enhancing their skills in data-driven decision-making and strategic analysis.

About Datasets:

Domain : Finance Project: Bank loan of customers Datasets: Finance_1.xlsx & Finance_2.xlsx Dataset Type: Excel Data Dataset Size: Each Excel file has 39k+ records

KPI's: 1. Year wise loan amount Stats 2. Grade and sub grade wise revol_bal 3. Total Payment for Verified Status Vs Total Payment for Non Verified Status 4. State wise loan status 5. Month wise loan status 6. Get more insights based on your understanding of the data

Process: 1. Understanding the problem 2. Data Collection 3. Data Cleaning 4. Exploring and analyzing the data 5. Interpreting the results

This data contains bar chart, text, stacked bar chart, dashboard, horizontal bars, donut chart, area chart, treemap, slicers, table, image.

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📊 Sales & Customer Analytics – Tableau Dashboard (PDF & Interactive) 🔍 Overview This dataset includes a Tableau project analysing sales trends & customer insights with an interactive dashboard switch.

The dashboards provide actionable insights into: ✅ Sales performance & revenue trends 📈 ✅ Top-performing products & regions 🌍 ✅ Customer segmentation & behavior analysis 🛍️ ✅ Retention strategies & marketing impact 🎯

📂 Files Included 📄 Sales & Customer Analytics Dashboard (PDF Report) – A full summary of insights. 🎨 Tableau Workbook (.twbx) – The interactive dashboards (requires Tableau). 🖼️ Screenshots – Previews of the dashboards.

🔗 Explore the Interactive Dashboards on Tableau Public :

Sales Dashboard:[https://public.tableau.com/app/profile/egbe.grace/viz/SalesCustomerDashboardsDynamic_17385906491570/CustomerDashboard] Customer Dashboard: [https://public.tableau.com/app/profile/egbe.grace/viz/SalesCustomerDashboardsDynamic_17385906491570/CustomerDashboard]

📌 Key Insights from the Dashboards ✅ Revenue trends show peak sales periods & seasonal demand shifts. ✅ Top-selling products & regions help businesses optimize their strategies. ✅ Customer segmentation identifies high-value buyers for targeted marketing. ✅ Retention analysis provides insights into repeat customer behaviour.

💡 How This Can Help: This dataset and Tableau project can help businesses & analysts uncover key patterns in sales and customer behavior, allowing them to make data-driven decisions to improve growth and customer retention.

💬 Would love to hear your feedback! Let’s discuss the impact of sales analytics in business strategy.

📢 #DataAnalytics #Tableau #SalesAnalysis #CustomerInsights #BusinessIntelligence #DataVisualization

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The global visual data analysis tool market is experiencing robust growth, driven by the increasing need for businesses to extract actionable insights from ever-expanding datasets. The market, currently valued at approximately $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 18% from 2025 to 2033. This significant expansion is fueled by several key factors. The proliferation of big data, coupled with the rising adoption of cloud-based solutions and advanced analytics techniques, empowers organizations across various sectors – including banking, manufacturing, and government – to make data-driven decisions. Furthermore, the continuous innovation in visualization technologies, offering more intuitive and user-friendly interfaces, is broadening accessibility and accelerating market penetration. The growing demand for real-time data analysis and predictive modeling further contributes to the market's upward trajectory. Despite the significant growth potential, the market faces certain challenges. High implementation costs, particularly for on-premises solutions, and the need for specialized skills to effectively utilize these tools can act as restraints for smaller businesses. However, the emergence of affordable cloud-based alternatives and increased availability of training programs are gradually mitigating these barriers. The market segmentation reveals a clear preference towards cloud-based solutions due to their scalability, flexibility, and cost-effectiveness. The banking and finance sectors, followed by manufacturing and consultancy, represent the largest market segments. Key players like Tableau, Microsoft, and Salesforce are driving innovation and shaping market competition through continuous product enhancements and strategic acquisitions. The geographical landscape displays strong growth potential across North America and Europe, while Asia-Pacific is expected to emerge as a significant market in the coming years.

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