Power BI is a suite of business analytics tools businesses use for analyzing data and sharing insights. Power BI dashboards provide a 360-degree view for business users with their most important metrics in one place, updated in real-time, and available on all devices.
In this session, you will learn to use Microsoft Power BI (Business Intelligence) to develop reports. This is an introductory overview of Power BI to get you started.
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Power BI Desktop Overview
1. Dr. Vazi Okhandiar, DBA, MSCS, PMP, MCT
www.nrclc.com. (714) 505-3475
Build a Dashboard
Using Microsoft Power BI
NR Computer Learning Center
2. NR Computer Learning Center (NRCLC)
Established in 2002
Provide Computer Training
Microsoft Partner
Hands-on classroom training
Online Training
Virtual Live Training
Private Lesson
3. Dr. Vazi Okhandiar
Over 30 years of teaching experience in Computer Science &
IT courses and Microsoft Products.
Worked for the World Bank, General Motors, HP/EDS,
Toyota, CSC, Olympus, and Mitsubishi, as well as numerous
small and medium-sized enterprises.
Education:
DBA, Walden University
MBA, University of California, Irvine
Masters in Computer Science, Illinois Institute of
Technology, Chicago
Bachelors Degree in Electrical Engineering,
University of California, Irvine.
Microsoft Certified Trainer (MCT) by Microsoft and Certified
Project Management Professional (PMP) by PMI
4. Objective
What is a Dashboard
What is Power BI
Download and install Power BI for Free
Import Sample Data into Power BI
Create Visualization and create Report
Share reports with other
5. A dashboard
A dashboard is a visualization tool that is
similar to a panel for a driver of a vehicle that
has data organized and presented in such a
way that is easy to read and understand.
6. Executive Dashboard
An Executive Dashboard is a visual representation that
gives executives a quick and easy way to view their
companys performance in real-time.
The Executive Dashboard pulls the information from
various data sources into one place for data analysis.
7. Benefit of Digital Dashboards
Visual presentation of performance measures
Ability to identify efficiencies/inefficiencies
Ability to identify and correct negative trends
Ability to identify new trends.
Ability to make more informed decision
Align strategies and organizational goals
Increase overall revenue
8. Introduction to Power BI
First released to the general public on July 24, 2015
It is a cloud-based business analytics service that
enables anyone to visualize and analyze critical
business data with greater speed, efficiency, and
understanding.
Microsoft Power BI is a business intelligence
platform that provides business users with tools for
aggregating, analyzing, visualizing and sharing
data.
9. Who uses Power BI
Analysts
Business Users
IT Professional
Developers
10. Common uses of Power BI
Power BI can help connect disparate data sets, transform and clean the data into a data
model and create charts and graphs to provide visuals of the data.
Reports can be shared with other Power BI users within the organization.
Data models created in Power BI can be used in telling stories through charts and data
visualizations and examining "what if" scenarios within the data.
Power BI reports can answer real-time questions and help with forecasting to ensure
departments meet business metrics.
Power BI can provide executive dashboards for administrators and managers, giving
management more insight into how departments are doing.
12. Power BI Free versus Paid
https://powerbi.microsoft.com/en-us/pricing/
13. Power BI Desktop
Free Download Microsoft BI Desktop version from
https://powerbi.microsoft.com/en-us/get-started/
14. Power BI is based on
Power Query - connects to external data, transforms data, and
creates a data model
Power Pivot - used to perform powerful data analysis in Excel,
bringing self-service business intelligence to the desktop
Power View used to create pretty, interactive data presentations
15. Data Sources
Files (Excel, PDF, SharePoint Folder, XML)
Databases (SQL Server Database, Oracle
Database, IBM databases, Amazon Redshift,
Google BigQuery),
Other Power BI data sets,
Azure data connections and many online services
(Dynamics 365, Salesforce Reports, Google
Analytics, Adobe Analytics, Facebook and others).
16. Steps for Using Power BI
Launch
Microsoft
BI Desktop
Import
data
Create
Report
Publish to
Power BI
Create
Dashboard
Share the
Dashboard
View on
Mobile
devices
17. Sample Data
Superstore - Order Table
Order ID
Order Date
Order Priority
Order Quantity
Sale
Discount
Shipping Method
Profit
Unit Price
Shipping cost
Customer Name
State
Region
Business Size
Product Category
Product Sub Category
Product Name
Product Container
Product Base Margin
Ship Date
18. Question?
Who were the top 5 customers in 2012 ?
What were the top 5 products sold in 2012?
What was the revenue in 2009, 2010, 2011, and 2012?
What was the breakdown of Revenue by state for year 2012?
How well the company did during the month of November 2011 compared to same
time in 2010?
26. Live Instructor Led Online Training
Microsoft Power BI for Data Analyst (2 Days)
Analyzing Data with Self-Service BI
Connecting to Data Sources
Performing Data Cleaning, Profiling, and Shaping
Visualizing Data with Power BI
Enhancing Data Analysis
Modeling Data with Calculations
Creating Interactive Visualizations
Prerequires
Microsoft Excel 2019 Intermediate
Optional: Experience with other data analytics tools, such as Google Analytics as
well as an understanding of database design or SQL language