This document provides an introduction to Power BI, a business intelligence tool for data visualization. It discusses how Power BI helps organizations make more data-driven decisions by combining business analytics, data mining, visualization and infrastructure. Key features of Power BI include rich dashboards, report publishing, no constraints on memory or speed, and no need for technical support. Power BI consists of desktop, service and mobile app components and allows users to connect to data, model and format it, create visualizations, and publish reports.

1. Introduction To
POWER BI
For Data Visualization
PPT Made By: Swati Tripathi

2. POWER BI
Business
Intelligence
Tool

3. Business intelligence (BI)
combines business analytics, data mining, data
visualization, data tools and infrastructure, and
best practices to help organizations to make
more data-driven decisions.

4. Identify ways to increase profit
Analyze customer behavior
Compare data with competitors
Track performance
Optimize operations
Predict success
Spot market trends
Discover issues or problems
IMPORTANCE
OF BI

5. Self-service BI tools
incorporate intuitive user interfaces
that make working with data more
accessible
for those without technical expertise!!

6. VISUAL
graphical representation of data
Generating images that
communicate relationships
among the represented data
to viewers

7. Batman Captain
America
Superman Iron Man
80 34 36 78
99 89 24 79
47 44 45 23
89 34 39 43
78 48 68 89
86 56 33 89
79 55 22 70

8. “We are drowning in information, but
starving for knowledge.”

10. It is a cloud-based,
business analytics service
for analyzing and visualizing data.

11. Why do we need Power BI?
The smart visual way
to understand your
business data.

12.  Rich personalized dashboards
 Publish reports securely
 No memory and speed constraints
 No specialized technical support required
 Extracting business intelligence rapidly and accurately

13. Power BI
Power BI
Desktop
Power BI
Service Power BI
Mobile
Apps

14. COMPONENTS OF POWER BI

15. POWER BI DASHBOARDS
REPRESENTS THE WHOLE STORY

17. A Power BI dashboard is a single
page,
often called a canvas,
that uses visualizations to tell a
story……..

18. Power
BI
MS
Excel

19. vs
Power BI is built on the foundation of Microsoft
Excel
but it is far more powerful than its spreadsheet
counterpart.

20. POWER BI MS Excel
Cannot show duplicate table Can show duplicate table
Does allow dashboard
refreshment
Does not allow dashboard
refreshment
Offer High level of analytics Offer Simple analytics
They are easy to use and
learn
They are comparatively
difficult to learn

21. POWER BI MS Excel
Faster Processing with table, graph, and
filtering.
Speed for processing with table, graph, and
filtering is slow.
Sharing data and report is very flexible. Dataset and report are not so flexible.
A user can build up a customized
dashboard.
A user has limited features to build up
reports.
Power BI is an advanced version of the
analytics tool with a large number of
features to play with data.
Excel is your traditional spreadsheet
program with a very long history which
leads to a vast array of features.

22. how much data
what you do
| VOLUME | VELOCITY | VARIABILITY | VERACITY |

23. 1. Easy to use
2. 90+ different sources to choose data from
3. Cost-effective, inexpensive solutions available
4. Interactive visual dashboards
5. Easily accessible from anywhere
6. Data sharing and collaboration
7. Supports natural language search

24. •Adobe (USA)
•Conde Nast (USA)
•Dell (USA)
•Hospital Montfort
(Canada)
•Kraft Heinz Co (USA)
•Meijer (USA)
•Nestle (China)
•Rolls-Royce Holdings
PLC (UK)

25. WITH POWER BI
1. Connecting to your data
2. The preformatting of data
3. Modelling of data
4. Data visualization
5. Publishing data reports

27. A data model can be
thought of as
a flowchart that illustrates
the relationships among
data.

29. o BI Architect
o Business Analyst
o Data Analyst
o BI Developer

30. Average Annual Salary of BI Professional
INDIA : ₹5,82,000
US : $81,514
Source: Glassdoor

31. https://powerbi.microsoft.com/en-us/