Md Mominul Islam | Software and Data Enginnering | SQL Server, .NET, Power BI, Azure Blog

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Friday, May 30, 2025

Comprehensive PowerBI Presentation for Footwear Manufacturing Company

Comprehensive PowerBI Presentation for Footwear Manufacturing Company

Duration: 4+ Hours | Audience: Business & Technical Stakeholders
Format: Interactive, Professional, Business-Oriented, Technical Deep Dive


Table of Contents

1. Introduction to PowerBI & Business Value (30 min)

  • Why PowerBI? (Business Intelligence Evolution)

  • PowerBI vs. Traditional Reporting (Excel, ERP Reports, Legacy BI)

  • Business Opportunities in Footwear Manufacturing (Where PowerBI Fits)

    • Operational Efficiency (Production, Inventory, QC)

    • Sales & Marketing Insights (Demand Forecasting, Customer Segmentation)

    • Supply Chain Optimization (Vendor Performance, Logistics)

    • HR & Workforce Analytics (Attendance, Productivity, Training)

  • ROI of PowerBI (Cost Savings, Decision-Making Speed)


2. PowerBI Architecture & Deployment Models (45 min)

  • PowerBI Components (Desktop, Service, Mobile, Embedded)

  • Cloud vs. On-Premises (PowerBI Report Server)

  • PowerBI in Azure Cloud (Scalability, Security, Cost Management)

  • Embedded Analytics (Integrating Reports into ERP/Web Portals)

    • Service Principal Authentication

    • PowerBI REST API for Embedding (Step-by-Step Demo)

    • Embedding vs. PowerBI Pro Licenses (Cost Comparison)


3. Data Integration & ETL (1 Hour)

  • Data Sources in PowerBI

    • Structured Data: SQL Server, Oracle, MySQL, PostgreSQL

    • Semi-Structured Data: Excel, CSV, JSON

    • APIs & Web Data: REST API, OData, Web Scraping

    • Big Data: Azure Data Lake, Hadoop, Spark

  • Power Query Deep Dive

    • Data Cleaning & Transformation

    • Handling Missing Data, Duplicates, Inconsistencies

    • Custom Functions (M Language)

  • DirectQuery vs. Import Mode (When to Use Which?)

    • Performance Optimization

    • Incremental Refresh for Large Datasets


4. Data Modeling & DAX (1 Hour)

  • Star Schema vs. Snowflake Schema

  • Relationships (1:1, 1:Many, Many:Many)

  • DAX (Data Analysis Expressions) Deep Dive

    • Basic Functions (SUMXCALCULATEFILTER)

    • Time Intelligence (SAMEPERIODLASTYEARDATESYTD)

    • Advanced DAX Patterns (Dynamic Measures, What-If Analysis)

  • Optimizing Data Models (Reducing Cardinality, Aggregations)


5. Advanced Visualizations & Dashboard Development (1.5 Hours)

  • Standard Charts vs. Custom Visuals

  • Best Practices for Dashboard Design

  • Complex Visualizations for Footwear Industry

    • Production & QC Dashboards

      • Defect Analysis by Production Line

      • Machine Downtime Tracking

    • Inventory & SCM Dashboards

      • Stock Aging Analysis

      • Supplier Performance Scorecard

    • Sales & Export/Import Dashboards

      • Regional Sales Trends

      • Customs Duty & Logistics Cost Analysis

    • HR & Workforce Dashboards

      • Employee Productivity by Department

      • Training Effectiveness Metrics

  • Drill-Through, Tooltips, Bookmarks


6. PowerBI Embedded & API Integration (45 min)

  • Why Embed PowerBI? (Seamless ERP/Portal Integration)

  • PowerBI REST API Use Cases

    • Automated Report Generation

    • Row-Level Security (RLS) via API

    • Dynamic Parameter Passing

  • Service Principal vs. User Authentication

  • Cost Analysis (PowerBI Embedded vs. Pro Licenses)


7. Report Publishing, Collaboration & Security (30 min)

  • Publishing to PowerBI Service

  • Workspaces & Apps (Controlled Distribution)

  • Sharing & Collaboration

    • PowerBI Pro vs. Premium Licensing

    • External Guest Access (B2B Sharing)

  • Row-Level Security (RLS)

    • Dynamic Data Filtering by Role

    • Implementing RLS in Embedded Reports


8. Licensing & Cost Optimization (30 min)

  • PowerBI Free vs. Pro vs. Premium

  • Capacity-Based vs. User-Based Licensing

  • Azure PowerBI Embedded Pricing

  • Cost-Saving Strategies (Optimizing Refresh Schedules, Dataflows)


9. Case Studies & Business Impact (30 min)

  • Case Study 1: Reducing Inventory Waste by 20% Using PowerBI

  • Case Study 2: Improving Production Efficiency with Real-Time Dashboards

  • Case Study 3: Sales Forecasting Accuracy Improvement


10. Q&A, Interactive Demo & Next Steps (30 min)

  • Live Demo: Building a Production Dashboard from Scratch

  • Interactive Session: Addressing Specific Business Challenges

  • Next Steps: Implementation Roadmap


Appendix (Detailed Report Examples – 20+ Dashboards)

(Each dashboard includes: Business Use Case, Development Steps, DAX Formulas, Benefits)

  1. Production Efficiency Dashboard

    • Machine Utilization %

    • Defect Rate by Shift

  2. Inventory Optimization Dashboard

    • Stock Turnover Ratio

    • Reorder Point Analysis

  3. Sales Performance Dashboard

    • Top-Selling Products by Region

    • Sales vs. Target Variance

  4. HR Analytics Dashboard

    • Employee Attrition Risk

    • Training ROI Analysis

  5. Supply Chain Dashboard

    • Lead Time Variability

    • Supplier Quality Scorecard

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Md. Mominul Islam

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