This explains how to increase the business profits using the visualization techniques using python

1. DATA ANALYTICS AND BUSINESS
INTELLIGENCE FOR IMPROVING BUSINESS
RESILIENCE AND SUSTAINABILITY

2. DATAANALYTICS + BUSINESS INTELLIGENCE
BUSINESS
IMPROVES BUSINESS RESILIENCE
AND SUSTAINABILITY
CORE IDEA

3. CONTENT
Introduction to data analytics and business
intelligence(Bi).
The role of data analytics & Bi in business resilience
and sustainability.
Use of data analytics and Bi in different industries.
Successful Example of Data Analytics and Bi in
Business Resilience and Sustainability.
Conclusion.

4. INTRODUCTION TO DATA ANALYTICS AND
BUSINESS INTELLIGENCE(BI):-
Data Analytics:
• Data Analytics refers to the process of
analyzing the raw data obtained from
the various sources such as data
warehouse.
• This process of data analytics helps the
client or user to get insights from the
datasets that used for analytics.

5. Business Intelligence:
Business intelligence is a tool and process
that helps to generate the data into various
or desired form of repots such as graphs and
chart.
Data analytic and business intelligence are
process that comes one after another for
detailed visualization of data.

6. The role of data analytics & Bi in business
resilience and sustainability:-
• Data analytics and business intelligence plays a critical
role in improving business resilience and sustainability in
the global market.
• Both these process helps the business owner or client of
the user to give a detailed insight of their business to
improve their business by maximize the profit and reduce
the miscellaneous expenses.

7. SOME OF THE WAYS DATA ANALYTICS AND BUSINESS
INTELLIGENCE HELP ORGANIZATIONS TO ACHIEVE
RESILIENCE AND SUSTAINABILITY INCLUDE:
Risk Management: The data is the
key player in reducing the risk by
analysing it very effectively and
thoroughly. Data from the past business
operation helps to predicts the future steps
to taken by avoiding the risk.
01
Supply Chain Management: Data
analytics and Bi both process are very
useful in supply chain management
because it will save hundreds of waste
kilometre covered in transportation
and save fuel cost in SCM.
02

8. Use of data analytics and Bi in different
industries:
1. Marketing: Marketing is one such field or
place where we can employ data analytics and
Bi for the answering the question of what
stock to invest and which stock acquisition will
bring the high profit.
2. Logistics: We can use both the analytical
and intelligence process to process the logistical
cost of company and thereby we can cut the
unwanted expenses by making the short route
for destination from source place also reduces
carbon foot prints.

9. 3. Entertainment industry: In media and
environment field integration of data analytics and
Bi helps to create them a customer preferred shows
or movies to retain and attract the existing and new
customer.
4. Education: In the field of teaching and
education this process helps to identify the new
way of innovation in teaching and presentation of
subjects with the help of analytical and intelligence
process.

10. Successful Example of Data Analytics and
Bi in Business Resilience and
Sustainability:
There are many successful example of implementation of data analytics
and Bi in big multi-national companies like
 Netflix
 Amazon
 Coco-cola
 Starbucks
 Tesla

11.  Twitter
 Uber
 Lowe’s
 Delta airlines
 American Express

12. 1.NETFLIX:
 Netflix one of the leading entertainment providers in the global
market. It produces many self-produced movies and series in their
own OTT (over-the-top) platforms to cover the customer base from all
over the world.
 Netflix uses Business intelligence technique to make use of their data
efficiently.
[i.e., Netflix based on their report from business analytical
process recommends the movies/series to their customer.]
 Now, Netflix has the strong subscriber base of 209.18 million world-
wide.

13. 2. STARBUCKS:
 Starbucks is the world’s largest coffee house chain with the more
than 30 thousand of stores in nearly 80 countries.
 Starbucks with their wide presence all over the nation have the
variety of customer details and data by their payment methods
such as credit or debit card and UPI system.
 With that data and collaboration of business intelligence technique
they make a statement and send offers and discounts to their
previous customer to make them visit the store again.

14. CONCLUSION:
•These are the ways we can implement and
improve business resilience and sustainability by
using the techniques of data analytics and business
intelligence. So, the process of data and business
analytics will also help the future business people
of all over the world to drive their business with
grater shift in work progress.

15. THANK YOU…