Power BI Business Scenarios with Hands on Use Cases

In a data-driven world, data from applications, IoT devices, and structured and unstructured sources fuels analysis and visualization. Business intelligence transforms raw data into meaningful information for timely decision making.

Discover how business intelligence accelerates decision making and consolidates data for real-time analytics. It delivers dashboards, KPIs, and automated reports to improve visibility and efficiency.

Master business intelligence to deliver a 360-degree view of customers and operations, boosting pricing, inventory, ROI, and building hands-on BI dashboards across sales, marketing, supply chain, and HR.

Power BI demonstrates modern BI characteristics by enabling cloud and on-premise deployment, seamless data connectivity, advanced data preparation, scalable in-memory engines, and interactive visuals with embedded analytics and collaboration.

Power BI use cases show BI drives sales planning, customer insights, pricing optimization, and real time monitoring; choose BI solutions with strong functionality, price performance, and wide data connectivity.

Explore why Microsoft Power BI leads in augmented analytics with natural language and visual data discovery. See how its data catalog, AI features, and citizen data scientists empower scalable analytics.

Discover the Power BI product family, including service, desktop, premium, mobile, embedded, and report server. Learn how licensing, deployment, and publishing enable fast, self-service data exploration and storytelling.

Power BI Desktop is a Windows app to build data models and reports and publish them to powerbi.com for sharing with colleagues.

Explore the Power BI service overview, and learn how workspaces, datasets, dashboards, and reports organize content, with app workspaces and sharing across your organization.

Explore the Power BI service in the cloud, using prebuilt content packs and apps, and connect to files, databases, and connectors to create your own dashboards and reports, and add DAX.

Learn to read and import CSV data into Power BI Desktop using Get Data and CSV options, then clean and load it as a query for analysis and visuals.

Learn to import data from Excel files in Power BI Desktop, connect to an Excel sample, read tables, rename columns, and clean data in the query editor before applying changes.

Create a streaming dataset in Power BI using Pubnub to ingest real-time IoT sensor data, then build a live dashboard with line charts and gauges viewable on web and phone.

Import data from an OData feed in Power BI Desktop via Get Data > OData, entering the feed URL to access rest-based APIs and the uniform data model.

Import and combine data from a folder in Power BI Desktop containing three Excel files, use the first row as heading, remove duplicates and unnecessary columns, and enable automatic refresh.

Install SQL Server Express Edition and SQL Server Management Studio by following hardware and software requirements, download steps, and setup tips to prepare a ready database environment.

Connect to the SQL Server using SQL Server Management Studio, download and restore sample databases (AdventureWorks and WideWorldImporters) from Microsoft, and review their file and size properties.

Learn how to import data from SQL Server into Power BI Desktop using SQL Server Express and Adventure Works samples, compare import versus direct query, and review auto-detected relationships.

Power BI dataflows connect Azure Data Lake Gen2 with the common data model, ingesting entities from Oracle, SQL Server, ServiceNow, and Salesforce for reports and dashboards.

Install and configure an on-premises data gateway to connect on-premises data to Power BI and other apps, assign it to a dataset, and schedule daily SQL Server refresh.

Create a Power BI dataflow from a csv by adding a new entity, use first row as headers, rename to bank, then refresh and publish to a workspace.

Master data modeling concepts in power bi, moving from a single table to multi-table designs with one-to-many relationships and snowflake schemas, using slicers and dim and fact tables.

Explore Power BI modeling basics by building a category, subcategory, and product hierarchy in a matrix, linking to the sales fact and applying one-to-many relationships for filtering.

Master data modeling in power bi by combining retirement states and state abbreviations from multiple sources, cleaning data, building relationships, defining data types and calculations, and delivering fast dashboards.

Learn modeling and relationships in Power BI by connecting branch data, daily targets, and actual sales data to analyze pizza sales and create a calculated column.

Learn to create and manage relationships in Power BI, linking tables via primary and foreign keys, and using one-to-many connections to drive accurate visuals.

Explore how to create and manage relationships in Power BI, including auto-detect and manual setup, and understand one-to-many and many-to-one cardinalities for accurate cross-table visuals.

Explore normalization and denormalization in Power BI, moving data into dim and fact tables for efficiency, and denormalizing by embedding category and subcategory names into the product table.

Explore denormalization in power bi by building a product hierarchy from category, subcategory, and product fields, and learn why denormalizing the fact table is often avoided.

Explore the differences between OLTP and OLAP, contrast star and snowflake schemas in data warehouses versus operational systems, and discuss data marts, ETL, and reporting in Power BI.

Explore star and snowflake schemas in data warehouses, explain dimension versus fact tables, and show how dimension tables support slicing and dicing of fact measures like sales.

Explore star and snowflake schemas in Power BI, comparing denormalized and normalized dimensions; learn when to use each, based on fact and dimension table sizes and storage implications.

Learn DAX basics by importing data from SQL Server, selecting tables and relationships, and loading a usable data model. Create and organize DAX measures in a dedicated table for practice.

Learn DAX basics and access resources like function and syntax references, naming conventions, free training, and guidance from Marco Russo, Alberto Ferrari, Sam McKee, and Dex Studio.

Learn DAX basics, the data analysis expressions language for Power BI, to create calculated columns and measures in a tabular model with over 200 functions and Excel-like syntax, column-based.

Explore DAX data types in Power BI, including whole number 64-bit, decimal (float), currency with four decimals, fixed decimal number, date time, date, time, boolean, text strings, and blob.

Explore DAX basics by mastering operators and syntax: parentheses, arithmetic, comparison and logical operators, concatenation, and creating measures like total sales using sum from the fact sales table.

Power BI uses M for data mash up and transformation in the query editor, and DAX for modeling and visuals in the report layer.

Create a full name column in dim customer using M language and DAX, demonstrating concatenation of first and last names, the formula bar, and IntelliSense in Power BI.

Learn DAX basics by applying rules to create and test measures in a single table, verify them in a matrix, with descriptive names, IntelliSense, and currency formatting in Power BI.

Explore the difference between calculated columns and calculated measures in DAX, and why calculated columns increase model size and memory usage while measures are evaluated on visuals.

Explore the difference between calculated columns and calculated measures in Power BI, showing how measures reduce file size and compression, and why you should prefer measures over columns whenever possible.

Explore how the DAX sum function aggregates a single column under filter context and how to create measures like total cost and total quantity, with emphasis on the initial filter.

Learn how to create DAX measures for average, minimum, and maximum sales prices on a product sales column, format in USD, and display results in a Power BI matrix.

Learn how sumx, an aggregate iterator, evaluates each row in a table and builds measures like total sales and total amount including freight and tax.

Explore how the DAX divide function works, including alternate results for division by zero, and learn to create measures like margin percentage, tax percentage, and markup percent in Power BI.

Learn DAX basics with count and countrows to tally rows and values in Power BI. Count numbers, dates, and strings, skip blanks, and create measures for total customers and products.

Master how the dax calculate function changes filter context by applying new filters and removing existing ones, with examples using same period last year and mountain bike filters.

Discover how to use DAX CALCULATE to compute distinct counts from the dim customer table, filtering by gender, marital status, and education to reveal patterns across professions.

Explore DAX basics with the filter function, returning a subset table and applying filter criteria; learn to use calculate and count rows across related tables in Power BI.

Learn how the DAX all function clears filters to return all rows or columns. Create measures like all customers and percentage country sales to compute totals across occupations and countries.

Explore Power BI AI visuals like decomposition tree, smart narrative, and key influencer, and learn to create measures quickly with quick measures, field parameters, ChatGPT, and Copilot.

Explore how to build and analyze data with the decomposition tree visual in Power BI, using fields and dimensions, high/low value splits, drill-through pages, and filters.

Leverage the key influencers visual in Power BI to analyze gender against state, age, and job classification, explore top influencers and segments, and interpret the left and right panes.

Explore how to create and customize smart narrative in Power BI, generate automatic, data-driven text summaries for visuals, and publish live reports to PowerPoint.

Explore the QA visual in Power BI, using natural language queries with synonyms to generate visuals like pie, map, or table, and turn results into standard visuals.

Learn to use quick measures with Copilot in Power BI. Generate DAX behind the scenes, with filters for country, segment, and discount band.

Learn to create new columns in Power BI using column from example, from all columns, and from selection, including country–product blends and age from dates.

Explore new calculation features and the modeling tab in Power BI, including visual calculations, running sums, and Copilot-assisted descriptions, with hands-on steps.

Learn to build dynamic Power BI visuals by using field parameters to swap x and y axes, create measures like total sales and total units, and drive charts with slicers.

Explore how to install and use Bravo to analyze Power BI models, export metadata, and format DAX, then automatically generate date tables and time intelligence measures.

Explore how ChatGPT and Copilot enhance Power BI, from loading sample data and describing tables to generating DAX measures, M code, and dashboards on Windows 11.

Learn to use ChatGPT and Copilot to create and document M code for a Power BI date table, compare their outputs, and annotate Power Query steps.

Develop hands-on real-world projects with step-by-step labs using the latest Power BI Desktop, including new features, AI visuals, and enhanced data modeling, while comparing older and updated lectures.

Learn to create a reusable Power BI template that saves time with predesigned layouts, visuals, data models, and date tables, and save it as a template for consistent branding.

Discover how a date table enables time intelligence in Power BI by connecting to the fact table, including year, month, day, and quarter fields and slicers.

Explore procurement spend analysis in Power BI using the Wide World Import DW data warehouse, analyzing purchases, supplier performance, inventory, and cost trends through a star schema dashboard.

Learn Power BI procurement spend analysis by building matrices for total quantity and purchases, adding a date key slicer, and creating donut packaging charts and hierarchical date charts.

Create dynamic procurement spend dashboards in Power BI using multi-measure parameters to switch between total purchases, total quantity, and total POS, with labeled charts and narration.

Create a tooltip page showing top ten stock items by total purchases, and build a drillthrough page to explore supplier transactions with date slicers in Power BI.

Perform procurement spend analysis in Power BI by collecting, cleaning, classifying, and analyzing expenditure data to reduce costs, improve efficiency, and monitor governance and inventory.

Explore advanced Power BI techniques for procurement spend analysis, building measures for total purchases, finalized versus nonfinalized purchase orders, and dashboards with themed visuals and key KPIs.

Explore procurement spend analysis in Power BI by creating a donut chart of total purchases by packaging, and a bar chart by color, with data labels, legends, and centered titles.

Create a Power BI dashboard focused on purchases and POS, with monthly date filters and bar and line visuals, plus top ten suppliers and top ten products with totals.

Create a procurement spend analysis dashboard in Power BI by configuring filters for year, month, quarter, and week, adding metrics and reports, and applying themes.

Count product quantities in a Power BI dashboard using Adventureworks data to compare reseller and internet channels, display by year, with a clustered column chart and country flag slicers.

Create Power BI product analysis dashboards that show monthly total units, 100% stacked charts by category, and top ten subcategories, products, and resellers with data labels and a year slicer.

Explore advanced product analysis in Power BI with top units by product, subcategories, and categories. Add narrations and tooltips, and build a tooltip page with four visuals.

Demonstrates designing a tooltip and a drillthrough page in Power BI, linking customer and reseller tables, and slicing sales by country, category, internet quantity, and reseller quantity to reveal transactions.

This lecture demonstrates building a Power BI product report with AdventureWorks data, computing internet and reseller sales quantities, and filtering by country and category to spot top products and resellers.

Build and format Power BI visuals to display the top ten resellers, products, and subcategories using reseller sales quantity and total sales, with clear formatting.

Explore Power BI advanced product analysis with slicers by country and date, including flag geography visuals, creating interactive charts for category, promotion, and reseller insights.

Create a Power BI product analysis report by building month-by-month sales with category and product details, styling visuals in a white theme and enabling year and country filters.

Analyze regional sales by region, country, and state, comparing internet and reseller channels. Use live maps, slicers, and a regional matrix to track sales, cost, margins, and prior-year performance.

Master regional analysis in Power BI by building map visuals using total sales, total cost, and gross margin, and refine formatting, callouts, and hierarchy navigation from country to states.

Explore regional sales analysis in Power BI using a matrix to compare total sales by countries, states, categories, subcategories, and products, with slicers and narrative visuals.

Build a regional analysis in Power BI using matrix visuals and slicers; compare total sales, cost, gross margin, and quantity, with a tooltip page for country and state details.

Execute regional analysis in Power BI with AdventureWorks data, importing internet sales and reseller sales, building measures, and comparing current year to previous year on country-state maps.

Create a Power BI regional analysis with measures for total sales, total cost, gross profit, and percentage profit, plus date filters and white-themed regional slicers.

Create a regional Power BI dashboard showcasing internet and reseller sales with totals, costs, and margins, using map visuals, data labels, and a multi-level matrix.

Build a Power BI regional analysis dashboard with white headers, showing this year vs last year sales and gross profit by category and country, with product-level drill-down.

Create regional analysis in Power BI by duplicating a page, organizing data by country and state, and displaying total sales, internet and reseller sales, costs, and margins.

Explore a real-time IT tickets analysis dashboard. See how it reveals ticket statuses, volume trends, bottlenecks, and performance to optimize resources and automate workflows.

Build a Power BI ticket analytics dashboard by calculating distinct user counts, total tickets, days open, and average days, then visualize by department and severity.

Power BI scenarios for IT tickets analyze severity and priority with donut, pie, and tree map visuals, include gender distribution, narration, dynamic matrix, and tooltip pages for interactive reporting.

Create a Power BI IT tickets analysis with a detailed page, drill-through, and slicers for severity, priority, ticket type, and departments to enable analysis and sharing with users.

Explore an advanced Power BI dashboard for IT helpdesk ticket analysis, cleaning around 100,000 tickets and building dynamic measures to reveal how severity, priority, and ticket type drive resolution times.

Build a Power BI IT tickets analysis dashboard by adding a last refresh date, a date table, and measures for distinct last name, total tickets, and average resolution days.

Demonstrates building a Power BI dashboard for IT tickets by constructing a matrix, adding filters and slicers for severity and department, and formatting visuals for clarity.

Create dynamic Power BI measures with a major selection table to switch between total users, total days, and average days, updating all visuals and cards.

Build dynamic Power BI visuals for IT tickets using dimension-based measures and major logic, creating donut, cluster, and line charts with slicers to compare severity, priority, ticket type, and regions.

Build a human resources dashboard that visualizes metrics in real time, enabling data-driven decisions with dynamic slicing for recruitment, retention, engagement, and compliance.

Build a Power BI HR model from employee data, capturing hire date, department, groups, job type, marital status, salary, and work life balance; design templates and three reports with measures.

Create DAX measures for total salary, total employees, sick days, and averages; build multi-row cards and a pie chart, then use a slicer to switch between salary and employee counts.

Explore building HR dashboards in Power BI by creating donut and cluster charts for gender, salary by gender, marital status, education, last promotion, and more, with narration and slicers.

Build and customize a Power BI HR dashboard, using templates, tooltips, and visuals to analyze salary, active employees, and sick days, with drill-through to detailed job-type pages.

Create and explore dynamic HR reports in Power BI, using salary and number of employees as dynamic measures, with a date table, filters, and interactive graphs.

Create and test Power BI measures, including last year's salary and sick days, and build a salary and employee dashboard with dynamic measures and themed visuals.

Explore Power BI business scenarios with hands-on use cases by building interactive measures and buttons to switch between salary and employees, and create donut charts for job type and demographics.

Build an interactive Power BI dashboard for human resources with department and business unit visuals. Add filters for gender, marital status, education, current role, last promotion, and sick days.

Extend the Adventureworks HR dashboard by duplicating the first report and building an average report with salary, sick days, balance days, and active employees using slicers.

Create a Power BI HR dashboard with cards: total salary, total employee, total sick day, total balance day, total active employee, plus average salary every day, using slicers and charts.

Explore advanced Power BI techniques for human resources analytics, including creating average-based dashboards with slicers, tooltips, and drill through reports on salaries, employee types, and job metrics.

Create a Power BI HR report by averages, using dynamic measures such as average salary, balance days, and sick days, with filters, a KPI matrix, and expandable hierarchies.

Create a dynamic Power BI matrix with major selections and switch logic to show average salary, average balance days, and sick days, with visuals by gender, education, and job type.

Build and customize Power BI reports for human resources data by creating department and business unit visuals, configuring a matrix with gender and job classification, and adding tabbed views.

Design a regional HR dashboard with a location slicer, dynamic axes, and responsive matrices and charts that switch by business unit, department, and other dimensions.

Create an HR dashboard in Power BI visualizing sick days, balanced days, total salary, and employee counts with pie, donut, and tree map charts and drillable matrices by business unit.

Explore dynamic dimensions in Power BI by using measure-like buttons to switch between business unit and region views, with responsive charts and tabbed navigation.

Create a dimension table by unpivoting attributes, then join on IDs to enable filtering. Build a matrix with totals and averages like salary and sick days, with filters for dimensions.

Create dynamic Power BI HR dashboards on a single page with dynamic dimensions and measures showing average salary, average sick days, and average balance days by gender and Houston.

Create a comprehensive Power BI financial report from a provided template, building three connected pages—main, tooltip, and detailed—while planning, testing, and emphasizing clarity and interactivity.

Explore how Power BI bookmarks save screen real estate by toggling between slicers and a matrix, while dynamic measures reveal sales, cost of goods sold, and profit.

Build a Power BI financial report that uses a switch logic to switch between total sales, profit, and cost of goods sold, with matrix, card, and map visuals.

Build a Power BI financial report with multiple graphs, including donut charts and monthly sales versus costs of goods sold, using slicers and a bookmark toggle for numbers or filters.

Create cards in Power BI showing sales, cost of goods sold, profit, profit percentage, and variance, then use bookmarks, slicers, and a matrix to switch views and test the report.

Use Power BI tooltip pages to show cost of goods sold, total margin, margin percentage, profit percent, and average order on charts; size tooltip pages to 700 by 100.

Build a Power BI sales analysis report with internet and reseller sales, featuring total sales, total cost, gross profit, and percentage gross profit, plus country, category, and date slicers.

Create a Power BI sales report with slicers for geography, date, category, and subcategory, and build reseller and internet sections using multi-row cards for sales, cost, margin, and percentage.

Build and customize Power BI sales reports by creating internet and reseller sales visuals, category and promotions charts, and enhanced slicers for customer analysis.

Create a Power BI sales analysis by customer and employee, linking to internet sales to show total sales, cost, and margin, with matrix layouts by regions and a tooltip page.

Create a dynamic Power BI sales report that toggles between sales, cost, and margin using internet and reseller measures with a tile slicer for a single, customer-ready dashboard.

Develop a sales report in Power BI by creating dynamic measures for reseller and internet sales, building comparative graphs, and configuring major logic to switch between sales, cost, and profit.

Build and test a Power BI sales report by creating measures, slicers, and cards, validating sales, cost, and profit across internet sales, categories, and territories.

Power BI hands-on lecture demonstrates dynamic measures switching between sales, cost, and profit, with column sort and polished formatting for a publish-ready sales report.

Extend a bank report in Power BI by creating a measures table and adding metrics like total balance and average age, with reference line and slicers for gender and state.

Build an advanced bank report in Power BI using matrix and slicers, display balance by month with data labels and reference lines, and enable drill-down via tooltips and detail pages.

Create an advanced bank report in Power BI using dynamic measures and dynamic dimensions, with a quarters slicer and a dynamic selection table for key metrics.

Build dynamic Power BI measures with a two-measure setup and a switch-based major logic driven by a slicer to display balance, average balance, total customers, and average age.

Build a bank report in Power BI with white data labels and titles, create charts by education and dates, and a matrix with totals, averages, and a dynamic education dimension.

Build a dims table in Power BI, unpivot attributes, and establish a two-way relationship; configure slicers for gender, state, job classification, and education.

Create a bank report dashboard in Power BI desktop, using a horizontal quarter slicer and cohesive sections. Refresh data and ensure proper sorting by balance for accurate insights.