Enthrall your audience with this Business Data Analytics Powerpoint Presentation Slides. Increase your presentation threshold by deploying this well crafted template. It acts as a great communication tool due to its well researched content. It also contains stylized icons, graphics, visuals etc, which make it an immediate attention grabber. Comprising twenty nine slides, this complete deck is all you need to get noticed. All the slides and their content can be altered to suit your unique business setting. Not only that, other components and graphics can also be modified to add personal touches to this prefabricated set. https://bit.ly/3d4gdzY

1. Business
Data Analytics
Y O U R C O M PA N Y N A M E

2. Media
2
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Generic media like images, videos, audios, and podcasts that provide quantitative and qualitative insights on every aspect
of user interaction
Media is the most popular source of big data, as it
provides valuable insights on consumer preferences &
changing trends
Media includes social media and interactive
platforms, like Google, Facebook, Twitter,
YouTube, Instagram

3. Cloud
3
The main attribute of cloud computing is its flexibility & scalability
In this era, companies have moved ahead of
traditional data sources by shifting their data on
the cloud
Cloud storage accommodates structured & unstructured
data & provides business with real-time information &
on-demand insights.
Text Here
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4. 4
Web
The public web constitutes
big data that is widespread
& easily accessible.
Data on the Web or ‘Internet’
is commonly available to
individuals & companies alike.
Moreover, web services such
as Wikipedia provide free &
quick informational insights to
everyone
The enormity of the
Web ensures for its
diverse usability
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5. Internet of Things
5
Internet of
Things
Machine-generated content or data created
from IoT constitute a valuable source of
big data
This data is usually generated from the
sensors that are connected to
electronic devices
IoT is now gaining momentum and includes big data generated, not only from computers and
smartphones, but also possibly from every device that can emit data
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6. Popular databases include a variety of data sources, such
as MS Access, DB2, Oracle, SQL, & Amazon Simple,
among others.
Businesses today prefer to use an amalgamation of traditional & modern
databases to acquire relevant big data
This integration paves the way for a hybrid data model and requires low
investment and IT infrastructural costs.
These databases can then provide for the extraction of insights that are used
to drive business profits.
Databases
6
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7. Social Network Profiles
Tapping user profiles from Facebook, LinkedIn, Yahoo,
Google, and specific-interest social or travel sites, to cull
individuals’ profiles and demographic information, and
extend that to capture their hopefully-like-minded networks
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This requires a fairly straightforward API integration
for importing pre-defined fields and values – for
example, a social network API integration that
gathers every B2B marketer on Twitter
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7

8. Social Influencers
8
Social
Influencers
User Forums
Twitter & Facebook “likes,”
Review Sites
Other review-centric sites like Apple’s App
Store, Amazon, ZDNet, etc.
Editor Posts
Subject-matter Experts
Analyst Reports
Blog Comments
Yelp-style Catalog
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9. Activity-Generated Data
9
Computer and mobile
device log files i.e. “The
Internet of Things.”
This category includes
web site tracking
information,
application logs, and
sensor data – such as
check-ins and other
location tracking –
among other machine-
generated content
The data generated
by the processors
found within vehicles,
video games, cable
boxes or, soon,
household appliances
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10. Data Warehouse Appliances
10
Teradata, IBM Netezza, EMC Greenplum, etc. are collecting
from operational systems the internal, transactional data that
is already prepared for analysis
These will likely become an integration target that will assist
in enhancing the parsed and reduced results from your Big
Data installation
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11. Media
Cloud
Web
Internet of
Things
Legacy
Documents
Databases
Social Network
Profiles
Social
Influencers
Network and In-
stream Monitoring
Technologies
Activity
Generated Data
Data Warehouse
Appliances
Big Data Sources
11
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12. Packet Evaluation
Distributed Query
Processing-like Applications
Email Parsers
Network and in - Stream Monitoring Technologies
12
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13. Legacy Documents
13
There are still multiple untapped resources. Some of them are
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Archives of
Statements
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needs and capture your
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Insurance
Forms
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needs and capture your
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Medical
Record
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needs and capture your
audience's attention.
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Customer
Correspondence
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14. Business Data Analytics Icons Slide
14

15. Graph & Charts
15

16. Stacked Column Chart
16
9
15 18 20 21 22 25
30
34
10
15
17
23
26
31
34
37
40
5
15
25
35
45
55
65
FY 13 FY 14 FY 15 FY 16 FY 17 FY 18 FY 19 FY 20 FY 21
Profit
(Million
dollars)
Product 01
This graph/chart is linked to excel, and
changes automatically based on data. Just left
click on it and select “Edit Data”.
Product 02
This graph/chart is linked to excel, and
changes automatically based on data. Just left
click on it and select “Edit Data”.

17. Area Chart
17
0
10
20
30
40
50
60
70
80
90
100
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
In
Percentage%
Financial Year 2021
P1
P2
Product 01
This graph/chart is linked to excel, and
changes automatically based on data. Just
left click on it and select “Edit Data”.
Product 02
This graph/chart is linked to excel, and
changes automatically based on data. Just
left click on it and select “Edit Data”.

18. Pie Chart
18
30% 20%
10%
40%
Product 02
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attention.
Product 03
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your needs and capture your audience's
attention.
Product 01
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Product 04
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19. Line Chart
19
0
20
40
60
80
100
120
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
In
Percentage
98%
55%
Product 01
This graph/chart is linked to excel, and
changes automatically based on data. Just
left click on it and select “Edit Data”.
Product 02
This graph/chart is linked to excel, and
changes automatically based on data. Just
left click on it and select “Edit Data”.

20. Clustered Column
20
80
50
60
30
45
78
59
40
$0
$20
$40
$60
$80
$100
2018 2019 2020 2021
Sales
(in
USD
millions)
Years
Product 01
This graph/chart is linked to excel, and
changes automatically based on data. Just
left click on it and select “Edit Data”.
Product 02
This graph/chart is linked to excel, and
changes automatically based on data. Just
left click on it and select “Edit Data”.

21. Stacked Bar
21
4.3
2.5
-3.5
-4.5
2.4
4.4
-1.8 -0.8
-6
-4
-2
0
2
4
6
8
Sales(in
USD
millions)
Product 01
This graph/chart is linked to excel, and
changes automatically based on data. Just
left click on it and select “Edit Data”.
Product 02
This graph/chart is linked to excel, and
changes automatically based on data. Just
left click on it and select “Edit Data”.

22. Additional
Slides
22

23. Our Mission
23
Vision
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Mission
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Goal
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24. Meet Our Team
24
DESIGNATION
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Name Here
DESIGNATION
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Name Here
DESIGNATION
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Name Here
DESIGNATION
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Name Here

25. About Us
25
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Preferred By Many
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Target Audience
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your audience's attention.
Value Clients

26. Roadmap
26
01
03
04
02
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27. Timeline
27
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2017
2018
2019
2020
2021

28. Target
28
01
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02
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03
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04
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29. Thanking You!
29
# street number, city, state
Address
0123456789
Contact Number
emailaddress123@gmail.com
Email Address