Skip Navigation Links.
🏠Home
Collapse 💻Apps💻Apps
🍵HTML Editor
🍵Unicode Symbols
Collapse 📂Topics📂Topics
Collapse 📄Data Analysis Expressions ...📄Data Analysis Expressions ...
Collapse 📄Complete List of DAX Fun...📄Complete List of DAX Fun...
📄ABS...
📄ACCRINT...
📄ACCRINTM...
📄ACOS...
📄ACOSH...
📄ACOT...
📄ACOTH...
📄Using DAX to split colum...
Collapse 📄MS Office...📄MS Office...
📄MS Access...
Collapse 📄MS Excel...📄MS Excel...
Collapse 📄Ribbon...📄Ribbon...
Collapse 📄Home...📄Home...
📄Alignment...
📄Cells...
📄Clipboard...
📄Editing...
📄Font...
📄Number...
📄Styles...
Collapse 📄Insert...📄Insert...
📄Charts...
📄Illustrations...
📄Tables...
Collapse 📄Office Scripts...📄Office Scripts...
📄VBA to TypeScript: A S...
Collapse 📄Power BI...📄Power BI...
Collapse 📄Get Data...📄Get Data...
📄Get Data from Files...
📄View any visual as table...
Collapse 📄Power Query / M Language...📄Power Query / M Language...
📄Entering Data without Da...
📄Data Source Settings...
Collapse 📄Practice Datasets...📄Practice Datasets...
📄Kaggle Datasets...
Collapse 📄SQL Datasets...📄SQL Datasets...
📄Adventure Works (SQL S...
📄Star Bakery (MySQL Ser...
📄Star Corp (SQL Server)...
Collapse 📄Python...📄Python...
📄Fill missing values in M...
📄List of Machine Learning...
📄Python for MS Excel...
📄Seasonal Autoregressive ...
📄Working with Random Valu...
Collapse 📹Video Tutorials📹Video Tutorials
🎬Two Ways to Use Custom SQL...
🎬Diversity, Equity, and Inc...
🎬Complete Guide to Using Dr...
🎬Gantt Chart in Power BI: C...
🎬Monitoring Progress Using ...
🎬Creating a Dashboard of Sa...
🎬Indigeno Technologies - Pa...
🎬Creating and Publishing We...
🎬Make Your Data Grow: Tree ...
🎬Power BI: Adding Historica...
🎬We asked an AI to create a...
🎬Power BI: Staff Engagement...
🎬Using Unicode Symbols in E...
🎬Power BI: Timesheet Analys...
🎬Time Machine for Your Data...
🎬Azure Data Studio - Comple...
🎬Power BI: Creating a Stunn...
🎬Power BI: Project Payback,...
🎬Power BI: Complete Realtim...
🎬Power BI: DAX Query View f...
🎬Build Your Own Excel Toolb...
🎬Data Science Programming: ...
🎬Power BI: Manage and Track...
🎬MS Excel: Using Images in ...
🎬MS Excel: Complete Guide t...
🎬Power BI: Creating Dashboa...
🎬Power BI: Using Latest Pre...
🎬Power BI: Performing Compa...
🎬Power BI: Creating Dashboa...
🎬Python: Forecasting with S...
🎬Power BI: Creating a Dice ...
🎬MS Excel: Creating a Dynam...
🎬Power BI: Create stunningl...
🎬MS Excel: Data Visualizati...
🎬Power BI: Assets Managemen...
🎬Power BI: Using Copilot in...
🎬Power BI: How to Create a ...
🎬MS Excel: Complete Guide t...
🎬Power BI: Easily Pivoting ...
🎬Power BI: How to Create a ...
🎬MS Excel: Using Python Rea...
🎬MS Excel: Realtime/Live Da...
🎬Power BI: Creating Paginat...
🎬Power BI: Exploring PBI On...
🎬MS Excel: Mastering MS Exc...
🎬MS Excel: Performing Non-L...
🎬MS Excel: How to add lates...
🎬Power BI: Performing PESTL...
🎬Power BI: Creating an Exot...
🎬Python: Resizing and Conve...
🎬Power BI:The Clock - Episo...
🎬MS Power Point: The Clock ...
🎬Looker Studio: Setting up ...
🎬HTML: Complete Course for ...
🎬Power BI: Creating a Power...
🎬MS Excel: Best Way to Crea...
🎬Power BI: Setting up Repor...
🎬Power BI: Real-time Data R...
🎬MS Excel: Mastering Excel ...
🎬SQL: Creating Realtime Liv...
🎬SQL: SQL Server Reporting ...
🎬Power BI: Data Modeling an...
🎬MS Excel: Data Modeling an...
🎬Python: Mastering NumPy Li...
🎬Power BI: Automating Data ...
🎬Power BI: How to Build a P...
🎬Power BI: Displaying Realt...
🎬Power BI: Unlocking Insigh...
🎬Power BI: How to Create a ...
🎬Power BI: Comparing Variou...
🎬Power BI: Animate Your Vis...
🎬MS Excel: Using Formulas l...
🎬Power BI: Using Folders as...
🎬Power BI: Using Folders as...
🎬Python: Uploading Files Di...
🎬Power BI: Creating Stunnin...
🎬Power BI: Integrating Pict...
🎬Power BI: Crafting Dynamic...
🎬Power BI: Dealing with Err...
🎬Power BI: Creating Dynamic...
🎬MS Excel: Calculating, Com...
🎬Power BI: Exploratory Data...
🎬Power BI: Create an Intera...
🎬Python: Creating Polynomia...
🎬Looker Studio: Creating Dy...
🎬Google Charts: Using Googl...
🎬Looker Studio: Understandi...
🎬Python: Mastering Data Vis...
🎬Power BI: Realtime Simulat...
🎬Power BI: Connecting to an...
🎬Python: Performing basic S...
🎬MS Excel: Simplifying Comp...
🎬Power BI: How to Create Hi...
🎬MS Excel: How to Use Calcu...
🎬Power BI: Using Small Mult...
🎬Power BI: Performing Finan...
🎬Power BI: Displaying SQL D...
🎬Power BI: Displaying Audit...
🎬Power BI: Loading Data int...
🎬Power BI: Using SQL Query ...
🎬Power BI: Visualizing Basi...
🎬MS Excel: Create a Smart, ...
🎬Power BI: Realtime Plant S...
🎬Power BI: Analyzing Season...
🎬Power BI: Creating your fi...
🎬Power BI: Creating Paginat...
🎬Power BI: Creating a Key P...
🎬Power BI: Creating Data So...
🎬Power BI: Setting up Power...
🎬Creating and Setting up a ...
🎬Power BI: Creating Pareto ...
🎬Power BI: Realtime Call Ce...
🎬Power BI: Creating a Proje...
🎬Power BI: Displaying Live ...
🎬Power BI: Using Conditiona...
🎬MS Excel: How to Create Re...
🎬Power BI: Realtime Sales S...
🎬Power BI: Displaying Realt...
🎬MS Excel: Using Excel Slic...
🎬Tableau: Tutorial for Begi...
🎬Power BI: How to Use Bookm...
🎬MS Access: How to Create R...
🎬MS Excel: Using What If An...
🎬Power BI: Create a YouTube...
🎬Power BI: Correlation Anal...
🎬Power BI: Analyzing Murder...
🎬Power BI: Manage and Monit...
🎬MS Excel: Creating an Anim...
🎬MS Excel: Creating 3D Maps...
🎬Power BI: Analyzing Wareho...
🎬MS Excel: How to add seria...
🎬Power BI: Mastering Market...
🎬MS Excel: What lies beneat...
🎬MS Excel/Power BI: Unpivot...
🎬Power BI: Exploring Defaul...
🎬MS Excel: Using the Break-...
🎬MS Excel: Predicting Sales...
🎬Power BI: Market Basket An...
🎬MS Excel: Creating a Bell ...
🎬Power BI: Creating a Dimen...
🎬Looker Studio: Creating a ...
🎬R: Creating Your First Pie...
🎬MS Excel: Conditional Form...
🎬Power BI: Analyzing human ...
🎬Python: Unleashing the Pow...
🎬Excel: Mapping, Grouping a...
🎬Power BI: Forecasting Data...
🎬Power BI: Grouping Data in...
🎬JavaScript: Using the if-e...
🎬Power BI: Connecting to th...
🎬JavaScript: Performing Mat...
🎬Power BI: Analyzing Bank L...
🎬MS Excel: Pivot... Pivot.....
🎬JavaScript: How to use onC...
🎬Power BI: Using Sankey Dia...
🎬Power BI: Multi Page Power...
🎬JavaScript: How to use onL...
🎬JavaScript: How to get the...
🎬Power BI: Crimes in Los An...
🎬Power BI: Crimes in Los An...
🎬Excel: Using the Fill Feat...
🎬Power BI: Drill-through Re...
🎬Power BI: Using DAX (Data ...
🎬Power BI: Using Smart Narr...
🎬Power BI: Bank Failure in ...
🎬Python: Predicting absente...
🎬Power BI: Dashboards with ...
🎬Power BI: Team and Product...
🎬Excel: Lookup Functions, V...
🎬Power BI: Artificial Intel...
🎬Power BI: Drill Down Repor...
🎬Python: Creating a GUI bas...
🎬Power BI: Visualizing Stoc...
🎬Python: Expected Returns (...
🎬Power BI: Decomposition Tr...
🎬Power BI: Sales and Profit...
🎬Python: Why you should not...
🎬Python: How to save, reloa...
🎬Power BI: Dimensional Mode...
🎬Python: How to classify da...
🎬Python: Machine Learning, ...
🎬Python: Web Scraping using...
🎬Animate: Classic Tween in ...
🎬Python: Support Vector Mac...
🎬Python: How to perform loo...
🎬Unity3d: How to create ter...
🎬Python: How to create and ...
🎬Python: How to work with a...
🎬Python: How to work with p...
🎬Python: How to work with S...
🎬SQL: How to create databas...
🎬Python: Data Scraping from...
🎬MS Excel: Pivot Tables, Pi...
🎬Python: How to use World B...
🎬MS Excel: How to use COUPD...
🎬Power BI: How to install P...
🎬Python: Easiest way to dow...
🎬MS Excel: How to use AMORD...
🎬MS Excel: How to use ACCRI...
🎬Python: Calculating varian...
🎬MS Excel: How to calculate...
🎬Python: How to calculate a...
🎬MS Excel: How to calculate...
🎬Python: How to calculate a...
🎬MS Excel: How to calculate...
🎬Python: How to calculate a...
🎬MS Excel: How to calculate...

🎬Power BI: Realtime Call Center Performance Simulation using Python, SQL and Power BI

The video is a tutorial on how to simulate real-time performance monitoring of a call center using Python, Microsoft SQL Server, and Power BI. The video starts by explaining that the simulation will generate random calls from customers and store the call center information in a Microsoft SQL server database for performance monitoring. The speaker then explains that they will fill the static information in the database using the insert command and connect Python to the SQL server for automatic data entry. The video then shows how to generate random calls and create a never-ending loop to generate random information, such as location ID, client ID, issue ID, CSR ID, response time, call time, complaint status ID, and call rating. The speaker then prints these variables in the console window to test the code and confirms that the loop is generating random calls every second. The next step is to create a database for the call center`s real-time data. The speaker explains that they will create a table to record the random generated calls data, a table to store locations, a table for client companies with their address and phone numbers, a table for customer service representatives, and a table to store the status of the complaint. The static tables are filled using the insert command, and the speaker shows how to use simple formulas in Microsoft Excel to construct insert commands from spreadsheet cells. To connect Power BI to the SQL server, the video explains that the pyODBC library is imported, a pyODBC connection is created, SQL Server is chosen as the pyODBC driver, the name of the SQL server is provided, and the database name is chosen. The video shows how to create a cursor based on the ODBC connection, and how to fix some errors in the Python code related to the connection string. Finally, the video shows how to use the variables in an insert command to insert the data into the calls table, using the cursor.execute command. To get the current date and time in SQL Server, the sql get date function is used. The video concludes by explaining that the simulation can be run in Python, and the results can be monitored in real-time in the Power BI dashboard. The video emphasizes that this exercise teaches how to work in Python, SQL Server, and Power BI, and use them together to create stunning dashboards. http://virtual-school.org/tutorial?v=D_8zpJzXRos Chapters: 01:51 - Random Customers Calls Generation is Python 05:38 - Creating Performance Indicators Database in SQL Server 07:09 - Filling Database with Static Information 08:21 - Connecting Python to SQL Server 13:01 - Changing the Odds 14:40 - Connecting Power BI to SQL Server 15:50 - Creating a Relational Data Model in Power BI 16:55 - Creating a Power BI Dashboard 24:15 - Testing the Simulation and Power BI Dashboard #Python, #SQLServer, #PowerBI, #RealTimeMonitoring, #CallCenter, #PerformanceMonitoring, #DataVisualization, #realtimedashboard , #realtimedata, #realtime, #livedata