This document discusses data and data analytics. It defines data as a set of qualitative or quantitative values that provide raw, unorganized information like facts, figures, characters, or symbols. It describes data analytics as the process of examining data sets to draw conclusions about the information contained within. The document outlines the data analytics lifecycle and some common types and applications of data analytics, including how companies like Amazon, Spotify, and Uber heavily rely on analyzing large datasets to improve customer experiences and business operations.

1. “ D at a r e ally powe r s e ve r y t hing t hat we do. ” — Je f f We ine r
D A T A
A N A L Y T I C S

2. WHAT IS DATA
DATA IS A SET OF VALUES OF QUALITATIVE OR
QUANTATIVE VARIABLES. IT IS INFORMATION IN
RAW OR UNORGANIZED FORM. IT MAY BE A
FACT,FIGURE,CHARACTERS,SYMBOLS ETC…
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3. DATA ANALYTICS
• ITS IS A PROCESS OF EXAMININGDATA
SETS IN ORDER TO DRAW CONCLUSION
ABOUT THE INFORMATION IT CONTAINS .
• ANALYTICS IS NOT A TOOL OR
TECHNOLOGY,RATHER IT IS THE WAY OF
THINKING AND ACTING ON DATA.
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4. THE PROCESS OF
STATISTICAL ANALYSIS
WHEN WE HAVE RESOURCE CONSTRAINTS,STATISTICAL
ANALYSIS ENABLESUS TO MAKE QUANTITATIVE
INFERENCESBASEDON AN AMOUNTOF INFORMATION
WE CAN ANALYZE
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FORM
HYPOTHESES
IDENTIFY DATA
SOURCE
PROVE/DISPROVE
HYPOTHESES

5. PRIMARY FOCUS AREA OF
ANALYTICS
UNDERSTAND
COSTUMER
BEHAVIOR
UNDERSTAND
PRODUCTS
USAGE
BUSINESS
MODEL
INNOVATION
Scientific findings 5
PRIMARY FOCUS OF
DATA ANALYTICS

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TYPES OF DATA ANALYTICS

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DATA ANALYTICS

8. DATA ANALYTICS
LIFE CYCLE
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The Data Analytics Life
Cycle covers the
process of generating,
collecting, processing,
using, and analyzing
data to achieve
corporate objectives.

9. BIG DATA ANALYTICS
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Big data refers to data that is so large, fast or complex that
it's difficult or impossible to process using traditional methods.
The act of accessing and storing large amounts of information for
analytics has been around for a long time.

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✓ Amazon heavily relies on predictive analytics to
increase customer satisfaction
✓ personalized recommendation system.
✓ This also comes through the suggestion that
are drawn from the other users who use similar
products or provide similar ratings

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➢ Online music streaming gaint
➢ With over 100 million users,spotify deals with a massive
amount of big data
➢ Users the 600 GBs of daily data generated by the users
to build its algorithms to boost user experience.
➢ In the year 2017 ,spotify user data science to gain
insights about which universities had the highest
percentage of party playlists and which ones spent the
most time on it

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▪ Uber is a popular smartphone application that allows you to book
a cab
▪ Uber makes extensive use of big data
▪ Uber has to maintain a large database of drivers , customers ,and
several other records.
▪ whenever you hail for a cab, Uber matches your profile with the
most suitable driver.

13. Thank you
AKSHAYA R
71812201017
CSE-A
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