SlideShare a Scribd company logo
2
Most read
7
Most read
11
Most read
Aditi Prasad (820001)
Ankush (820002)
Anshu Sharma (820003)
CASE STUDY:
BIG DATA ANALYTICS
Bhavya Sachdev (820004)
Bipin Kumar (820005)
Jatin Kumar (820006)
Presented by
CONTENT
● Introduction: Big Data.
● Methodology.
● What is netflix.
● Strategic analysis.
● Big data in media industry.
● Why was this big data problem.
● How netflix uses big data
● The algorithm culture.
● Conclusion.
INTRODUCTION
WHAT IS BIG DATA?
● 1 .It is a massive amount of data which cannot
be stored, processed analyzed using traditional
tools is known as big data.
● 2. Big data analytics is a process to extract
meaningful insights from big data such as
hidden patterns, unknown correlation, market
trends and customer
● WHY BIG DATA
● Product development.
● Better decision making.
● Risk management.
● Improving customer experience.
●
1. TYPES OF BIG DATA
● Descriptive analytics.
● Diagnostic analytics.
● Predictive analytics.
● prescriptive analytics.
APPLICATION OF BIG
DATA ANALYTICS .
● Smarter health care
● Telecom
● Trading analytics
● Manufacturing
● Traffic control
● Search quality
TOOLS USED IN BIG
DATA ANALYTICS
1. HADOOP
2. TALEND
3. KAFKA
4. STORM
5. SPARK
METHODOLOGY
1.Results of this study will be based on secondary research by means of text analysis.
2.The aim is to illuminate the development of big data in combination of netflix’s algorithmic developments
3. Connecting dot between the words big data, media industry and netfliX
4. How netflix used big data to lead in media industry
5 Key terms : media industry , netflix , recommendation systems and algorithimic culture.
What is NETFLIX
➤Netflix is American based service provider.
➤ Netflix was found in 1997 by Reed Hastings and Marc
Randolph in California.
➤Netflix has grown to become a worldwide multi- platform
on-demand television and movie broadcaster
➤It provides streaming movies, TV show , web series etc.
➤Show House of Cards was success prior to shooting any
scenes(2013)
STRATEGIC ANALYSIS
BUSINESS GOALS
● To entertain the world.
● To expand globally and
diversify its audience
● To create a better customer user
experience.
● To prioritize user preferences
KEY CHALLENGES
● Revenue from overseas
● Content over-spending
● Fierce competition (Disney+,
HBO max, Amazon)
● Content Fragmentation
Big Data in Media Industry
The media industry is using big data to extend automated
recommendation systems now occupy a central position in
the circulation of media and cultural products.
➧Big data is extensively used in the media landscape and
allowed to grow due to the exponential growth of other
media platforms such as smartphones, the low cost of
broadband storage, and increasing accessibility of the
Internet
Big data has been employed by media companies’
strategies and actions for a number of beneficial
reasons:
·➤To better understand cross-platform audiences,
·➤Create powerful data journalism stories,
·➤Streamline business processes and
➤Identify new products and services to offer customers
(Stone, 2014).
Why was this Big Data Problem
There are four Vs
➧ Volume
➧Velocity
➧Veracity
➧Variety
● When you pause, rewind, or fast forward
● What day you watch content.
● The date you watch
● What time you watch content
● Where you watch (zip code)
● What device you use to watch
● When you pause and leave content (and if you ever come back)
● The ratings given (about 4 million per day)
● Searches (about 3 million per day)
● Browsing and scrolling behavior
● Netflix also looks at data within movies. They take various “screen shots” to look at “in the
moment” characteristics.
How “Netflix” uses big data?
You may also think that the show House of Cards was
chosen because Netflix "thought subscribers might like
it." But the truth is much, much deeper. The $100
million show wasn't green-lighted solely because it
seemed like a good plot. The decision was based on a
number of factors and seemingly almost entirely on data.
Netflix distributed 'Orange is the New Black' knowing it
would be a big hit on their platform.
Remember "House of cards"
THE
ALGORITHM
CULTURE
● More customer data produces more
sophisticated recommendations and vice versa
● Algorithmic culture means that it is not the
culture being shaped by the data, rather, it is the
culture that shapes the data.
● Netflix’s recommendation system is based on
this algorithm system
● Netflix is building its highly personalized genres
and own content thus constantly facilitating the
development of this algorithm culture.
CONCLUSION ● This has further resulted in an
algorithmic culture, which means
users are becoming their own
gatekeepers and are able to indirectly set
their own agenda.
● Thus, future success of Netflix can be
based on two aspects: the new
recommendation system based on user’s
enjoyment and the agenda-setting theory
in relation to the algorithmic culture
● Our Study focussed on the media
landscape and indicated that big data
is playing an important role in not
only the distribution but also the
production of media content.
● These developments have given rise
to extreme personalisation and
customisation which has resulted in
an accurate recommendation system
for Netflix.
THANK YOU

More Related Content

PPTX
Importance of English
ARPAN PAUL.
 
PPTX
Netflix
Nova Granite
 
PDF
Deep Learning - The Past, Present and Future of Artificial Intelligence
Lukas Masuch
 
PPT
Intro to Amazon S3
Yu Lun Teo
 
PPTX
Types of cost
mahesh patil
 
PDF
Cost accounting: a project on cost analysis & budgeting
Rifat Hossain Khan
 
PDF
Data at Spotify
Danielle Jabin
 
PDF
Company Presentation - Netflix
CaroleenChang
 
Importance of English
ARPAN PAUL.
 
Netflix
Nova Granite
 
Deep Learning - The Past, Present and Future of Artificial Intelligence
Lukas Masuch
 
Intro to Amazon S3
Yu Lun Teo
 
Types of cost
mahesh patil
 
Cost accounting: a project on cost analysis & budgeting
Rifat Hossain Khan
 
Data at Spotify
Danielle Jabin
 
Company Presentation - Netflix
CaroleenChang
 

What's hot (20)

PPTX
Data-Driven @ Netflix
Michelle Ufford
 
PPTX
Netflix Case Presentation
Brett Miller
 
PDF
Netflix marketing plan
Evelyne Otto
 
PDF
Use of Analytics by Netflix - Case Study
Saket Toshniwal
 
PDF
Netflix failure & marketing strategy
Ashutosh Sahu
 
PPTX
Netflix - Strategy management
Mario Clement
 
PPT
Netflix Case Study
Kikuyu Daniels
 
PDF
Case Study Tata Teleservices
Sujay Khandge
 
DOC
Netflix Case Study
Thomas Vogelsang
 
PPTX
Netflix Business Model & Strategy
Evgenii Gvozdev
 
PDF
Netflix business marketpresentation_economics
GraysonMeeks
 
PPTX
Netflix Case Study
CharlieMcGregor1
 
PPTX
Netflix - Globalization and business expansion case study
Benoît Prentout
 
PPTX
Group case study assignment
OlgaKovalchuk15
 
PDF
Netflix Promotional Campaign
ashleyphenix
 
PPTX
Netflix
sudharshan gowda
 
PDF
Netflix case study
Lisandra Maioli
 
PPTX
How Netflix Wins With Their Brand Strategy
Rhoderick Fernandez
 
PPT
Big data ppt
IDBI Bank Ltd.
 
PPTX
Business intelligence
Randy L. Archambault
 
Data-Driven @ Netflix
Michelle Ufford
 
Netflix Case Presentation
Brett Miller
 
Netflix marketing plan
Evelyne Otto
 
Use of Analytics by Netflix - Case Study
Saket Toshniwal
 
Netflix failure & marketing strategy
Ashutosh Sahu
 
Netflix - Strategy management
Mario Clement
 
Netflix Case Study
Kikuyu Daniels
 
Case Study Tata Teleservices
Sujay Khandge
 
Netflix Case Study
Thomas Vogelsang
 
Netflix Business Model & Strategy
Evgenii Gvozdev
 
Netflix business marketpresentation_economics
GraysonMeeks
 
Netflix Case Study
CharlieMcGregor1
 
Netflix - Globalization and business expansion case study
Benoît Prentout
 
Group case study assignment
OlgaKovalchuk15
 
Netflix Promotional Campaign
ashleyphenix
 
Netflix case study
Lisandra Maioli
 
How Netflix Wins With Their Brand Strategy
Rhoderick Fernandez
 
Big data ppt
IDBI Bank Ltd.
 
Business intelligence
Randy L. Archambault
 
Ad

Similar to NETFLIX (BIG DATA ANALYTICS ) (20)

PDF
Team undiscovered opportunuity analysis report presentation- venture lab 2012
oceanfree
 
PPTX
Innov day big data enabler & business opportunities(1)
TelkomDDSKM
 
PDF
See the Whole Story: The Case for a Visualization Platform
Eric Kavanagh
 
PPTX
Borys Pratsiuk "How to be NVidia partner"
Lviv Startup Club
 
PDF
A Hitchhiker’s Guide to the Digital Economy for Banks by Ilker Tasdemir
MDS ap
 
PDF
It’s Not About Big Data – It’s About Big Insights - SAP Webinar - 20 Aug 201...
Edgar Alejandro Villegas
 
PDF
Intelligent Automation 2019
Ray Bugg
 
PPTX
Data Analytics and AI Strategy Toolkit, Playbook and Templates
Aurelien Domont, MBA
 
PPTX
Personalization and gamification of entertainment services
Zinnov
 
PPTX
Big Data in Business Application use case and benefits
Gaurav493374
 
PDF
Transformando la vida cotidiana a través de Big Data
UX Nights
 
PPTX
D2 d turning information into a competive asset - 23 jan 2014
Henk van Roekel
 
PPT
Bigdata Landscape and Competitive Intelligence
Jithin S L
 
PDF
How can Insurers Accelerate Digital Transformation with Data Virtualization (...
Denodo
 
PDF
Dr. Maher salameh - new age of data analytics
promediakw
 
PPTX
Accelerating Research & solutions for Attaining Business Resilence & Sustaini...
Rajivmenan
 
PPTX
Data analytics and Business Intelligence in Business resilience and sustainab...
Venugopal90182
 
PDF
ThoughtWorks: Monetising Open Banking
Thoughtworks
 
PPTX
Identifying the new frontier of big data as an enabler for T&T industries: Re...
International Federation for Information Technologies in Travel and Tourism (IFITT)
 
PPT
Emerging Technology
Krishnan Viswanath
 
Team undiscovered opportunuity analysis report presentation- venture lab 2012
oceanfree
 
Innov day big data enabler & business opportunities(1)
TelkomDDSKM
 
See the Whole Story: The Case for a Visualization Platform
Eric Kavanagh
 
Borys Pratsiuk "How to be NVidia partner"
Lviv Startup Club
 
A Hitchhiker’s Guide to the Digital Economy for Banks by Ilker Tasdemir
MDS ap
 
It’s Not About Big Data – It’s About Big Insights - SAP Webinar - 20 Aug 201...
Edgar Alejandro Villegas
 
Intelligent Automation 2019
Ray Bugg
 
Data Analytics and AI Strategy Toolkit, Playbook and Templates
Aurelien Domont, MBA
 
Personalization and gamification of entertainment services
Zinnov
 
Big Data in Business Application use case and benefits
Gaurav493374
 
Transformando la vida cotidiana a través de Big Data
UX Nights
 
D2 d turning information into a competive asset - 23 jan 2014
Henk van Roekel
 
Bigdata Landscape and Competitive Intelligence
Jithin S L
 
How can Insurers Accelerate Digital Transformation with Data Virtualization (...
Denodo
 
Dr. Maher salameh - new age of data analytics
promediakw
 
Accelerating Research & solutions for Attaining Business Resilence & Sustaini...
Rajivmenan
 
Data analytics and Business Intelligence in Business resilience and sustainab...
Venugopal90182
 
ThoughtWorks: Monetising Open Banking
Thoughtworks
 
Identifying the new frontier of big data as an enabler for T&T industries: Re...
International Federation for Information Technologies in Travel and Tourism (IFITT)
 
Emerging Technology
Krishnan Viswanath
 
Ad

More from ANKUSH (6)

PPTX
Impact of Government Investments on Business Firms
ANKUSH
 
PPTX
APPLICATION OF CORRELATION AND CASE STUDY
ANKUSH
 
PPTX
INFORMATION TECHNOLOGY PROJECTS IN BUSINESSES
ANKUSH
 
PPTX
Organizational and behaviour changes during a pandemic and challenges after C...
ANKUSH
 
PPTX
Work Motivation and Major Motivation Theory
ANKUSH
 
PPTX
Bio sweeteners
ANKUSH
 
Impact of Government Investments on Business Firms
ANKUSH
 
APPLICATION OF CORRELATION AND CASE STUDY
ANKUSH
 
INFORMATION TECHNOLOGY PROJECTS IN BUSINESSES
ANKUSH
 
Organizational and behaviour changes during a pandemic and challenges after C...
ANKUSH
 
Work Motivation and Major Motivation Theory
ANKUSH
 
Bio sweeteners
ANKUSH
 

Recently uploaded (20)

PPTX
INTESTINALPARASITES OR WORM INFESTATIONS.pptx
PRADEEP ABOTHU
 
PPTX
family health care settings home visit - unit 6 - chn 1 - gnm 1st year.pptx
Priyanshu Anand
 
PPTX
HISTORY COLLECTION FOR PSYCHIATRIC PATIENTS.pptx
PoojaSen20
 
PPTX
CDH. pptx
AneetaSharma15
 
PDF
Virat Kohli- the Pride of Indian cricket
kushpar147
 
PPTX
Sonnet 130_ My Mistress’ Eyes Are Nothing Like the Sun By William Shakespear...
DhatriParmar
 
PPTX
Virus sequence retrieval from NCBI database
yamunaK13
 
PDF
Review of Related Literature & Studies.pdf
Thelma Villaflores
 
PDF
The Minister of Tourism, Culture and Creative Arts, Abla Dzifa Gomashie has e...
nservice241
 
PPTX
An introduction to Prepositions for beginners.pptx
drsiddhantnagine
 
PPTX
How to Apply for a Job From Odoo 18 Website
Celine George
 
PPTX
HEALTH CARE DELIVERY SYSTEM - UNIT 2 - GNM 3RD YEAR.pptx
Priyanshu Anand
 
PPTX
Measures_of_location_-_Averages_and__percentiles_by_DR SURYA K.pptx
Surya Ganesh
 
PPTX
PROTIEN ENERGY MALNUTRITION: NURSING MANAGEMENT.pptx
PRADEEP ABOTHU
 
PDF
Biological Classification Class 11th NCERT CBSE NEET.pdf
NehaRohtagi1
 
PPTX
Cleaning Validation Ppt Pharmaceutical validation
Ms. Ashatai Patil
 
PPTX
Information Texts_Infographic on Forgetting Curve.pptx
Tata Sevilla
 
PPTX
How to Close Subscription in Odoo 18 - Odoo Slides
Celine George
 
PPTX
A Smarter Way to Think About Choosing a College
Cyndy McDonald
 
PPTX
Tips Management in Odoo 18 POS - Odoo Slides
Celine George
 
INTESTINALPARASITES OR WORM INFESTATIONS.pptx
PRADEEP ABOTHU
 
family health care settings home visit - unit 6 - chn 1 - gnm 1st year.pptx
Priyanshu Anand
 
HISTORY COLLECTION FOR PSYCHIATRIC PATIENTS.pptx
PoojaSen20
 
CDH. pptx
AneetaSharma15
 
Virat Kohli- the Pride of Indian cricket
kushpar147
 
Sonnet 130_ My Mistress’ Eyes Are Nothing Like the Sun By William Shakespear...
DhatriParmar
 
Virus sequence retrieval from NCBI database
yamunaK13
 
Review of Related Literature & Studies.pdf
Thelma Villaflores
 
The Minister of Tourism, Culture and Creative Arts, Abla Dzifa Gomashie has e...
nservice241
 
An introduction to Prepositions for beginners.pptx
drsiddhantnagine
 
How to Apply for a Job From Odoo 18 Website
Celine George
 
HEALTH CARE DELIVERY SYSTEM - UNIT 2 - GNM 3RD YEAR.pptx
Priyanshu Anand
 
Measures_of_location_-_Averages_and__percentiles_by_DR SURYA K.pptx
Surya Ganesh
 
PROTIEN ENERGY MALNUTRITION: NURSING MANAGEMENT.pptx
PRADEEP ABOTHU
 
Biological Classification Class 11th NCERT CBSE NEET.pdf
NehaRohtagi1
 
Cleaning Validation Ppt Pharmaceutical validation
Ms. Ashatai Patil
 
Information Texts_Infographic on Forgetting Curve.pptx
Tata Sevilla
 
How to Close Subscription in Odoo 18 - Odoo Slides
Celine George
 
A Smarter Way to Think About Choosing a College
Cyndy McDonald
 
Tips Management in Odoo 18 POS - Odoo Slides
Celine George
 

NETFLIX (BIG DATA ANALYTICS )

  • 1. Aditi Prasad (820001) Ankush (820002) Anshu Sharma (820003) CASE STUDY: BIG DATA ANALYTICS Bhavya Sachdev (820004) Bipin Kumar (820005) Jatin Kumar (820006) Presented by
  • 2. CONTENT ● Introduction: Big Data. ● Methodology. ● What is netflix. ● Strategic analysis. ● Big data in media industry. ● Why was this big data problem. ● How netflix uses big data ● The algorithm culture. ● Conclusion.
  • 3. INTRODUCTION WHAT IS BIG DATA? ● 1 .It is a massive amount of data which cannot be stored, processed analyzed using traditional tools is known as big data. ● 2. Big data analytics is a process to extract meaningful insights from big data such as hidden patterns, unknown correlation, market trends and customer ● WHY BIG DATA ● Product development. ● Better decision making. ● Risk management. ● Improving customer experience. ● 1. TYPES OF BIG DATA ● Descriptive analytics. ● Diagnostic analytics. ● Predictive analytics. ● prescriptive analytics.
  • 4. APPLICATION OF BIG DATA ANALYTICS . ● Smarter health care ● Telecom ● Trading analytics ● Manufacturing ● Traffic control ● Search quality TOOLS USED IN BIG DATA ANALYTICS 1. HADOOP 2. TALEND 3. KAFKA 4. STORM 5. SPARK
  • 5. METHODOLOGY 1.Results of this study will be based on secondary research by means of text analysis. 2.The aim is to illuminate the development of big data in combination of netflix’s algorithmic developments 3. Connecting dot between the words big data, media industry and netfliX 4. How netflix used big data to lead in media industry 5 Key terms : media industry , netflix , recommendation systems and algorithimic culture.
  • 6. What is NETFLIX ➤Netflix is American based service provider. ➤ Netflix was found in 1997 by Reed Hastings and Marc Randolph in California. ➤Netflix has grown to become a worldwide multi- platform on-demand television and movie broadcaster ➤It provides streaming movies, TV show , web series etc. ➤Show House of Cards was success prior to shooting any scenes(2013)
  • 7. STRATEGIC ANALYSIS BUSINESS GOALS ● To entertain the world. ● To expand globally and diversify its audience ● To create a better customer user experience. ● To prioritize user preferences KEY CHALLENGES ● Revenue from overseas ● Content over-spending ● Fierce competition (Disney+, HBO max, Amazon) ● Content Fragmentation
  • 8. Big Data in Media Industry The media industry is using big data to extend automated recommendation systems now occupy a central position in the circulation of media and cultural products. ➧Big data is extensively used in the media landscape and allowed to grow due to the exponential growth of other media platforms such as smartphones, the low cost of broadband storage, and increasing accessibility of the Internet Big data has been employed by media companies’ strategies and actions for a number of beneficial reasons: ·➤To better understand cross-platform audiences, ·➤Create powerful data journalism stories, ·➤Streamline business processes and ➤Identify new products and services to offer customers (Stone, 2014).
  • 9. Why was this Big Data Problem There are four Vs ➧ Volume ➧Velocity ➧Veracity ➧Variety
  • 10. ● When you pause, rewind, or fast forward ● What day you watch content. ● The date you watch ● What time you watch content ● Where you watch (zip code) ● What device you use to watch ● When you pause and leave content (and if you ever come back) ● The ratings given (about 4 million per day) ● Searches (about 3 million per day) ● Browsing and scrolling behavior ● Netflix also looks at data within movies. They take various “screen shots” to look at “in the moment” characteristics. How “Netflix” uses big data?
  • 11. You may also think that the show House of Cards was chosen because Netflix "thought subscribers might like it." But the truth is much, much deeper. The $100 million show wasn't green-lighted solely because it seemed like a good plot. The decision was based on a number of factors and seemingly almost entirely on data. Netflix distributed 'Orange is the New Black' knowing it would be a big hit on their platform. Remember "House of cards"
  • 12. THE ALGORITHM CULTURE ● More customer data produces more sophisticated recommendations and vice versa ● Algorithmic culture means that it is not the culture being shaped by the data, rather, it is the culture that shapes the data. ● Netflix’s recommendation system is based on this algorithm system ● Netflix is building its highly personalized genres and own content thus constantly facilitating the development of this algorithm culture.
  • 13. CONCLUSION ● This has further resulted in an algorithmic culture, which means users are becoming their own gatekeepers and are able to indirectly set their own agenda. ● Thus, future success of Netflix can be based on two aspects: the new recommendation system based on user’s enjoyment and the agenda-setting theory in relation to the algorithmic culture ● Our Study focussed on the media landscape and indicated that big data is playing an important role in not only the distribution but also the production of media content. ● These developments have given rise to extreme personalisation and customisation which has resulted in an accurate recommendation system for Netflix.