Data to make hit tv show
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With so many TV shows out there, it is a very competitive area of responsibility. Roy has to find shows that are incredibly influential and inspiring for the audiences worldwide, keeping up with the brand value of Amazon Web Services. In simple words, he has to prepare shows that are very to nearer to 10 on the scale of 1-10.
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This document describes a web application called tvforecastifpro.co that aims to utilize big data in the television industry. It will create the world's largest entertainment data warehouse and provide actionable analytics and insights through an intuitive interface. This will allow users access to comprehensive television viewership data and metrics for affordable monthly fees, addressing the need for affordable big data software in the industry.
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Austin tuned in to the Discovery Channel show Naked and Afraid after seeing a digital ad. Discovery Communications (DCI) wanted help reaching their audiences across more screens to increase ratings. Epsilon used a custom process matching DCI shows to potential viewers using a seed list, then targeted digital campaigns. Ratings for Naked and Afraid increased 30% over the prior season premiere and it was the number one non-sports cable telecast that night.
IFPro Pitch Deck
This document describes a web application called TVForecastIFPro that aims to disrupt the television industry by utilizing big data analytics. It provides comprehensive entertainment data and insights to networks for show development, targeting audiences. The application offers customizable analytics on viewership, ratings, demographics and more. It claims competitive advantages over other solutions through its unique database, affordable fees, and intuitive interface. The goal is to provide networks an affordable alternative to traditional methods for better return on investment.
Industry Forecast Project Pitch Deck
Television production is really kind of archaic--it has more or less followed the same model since its inception, and that model doesn't really use data effectively to help decide what content is likely to be successful.
We believe that by providing content creators access to our entertainment database that they can make more informed choices about their shows, and create better television for us all.
Hulu
Hulu is steadily growing its streaming subscriber base and expanding its content library. It recently launched a higher priced, ad-free subscription tier and has begun offering exclusive shows to attract more subscribers. Hulu has around 10 million subscribers currently, still far behind Netflix, but subscriptions have nearly doubled in the past two years. Hulu's dual revenue model from advertising and subscription fees provides higher revenue per user than competitors and could lead to a higher valuation. The analyst estimates Hulu's value at $7-8 billion by the end of 2016, with Fox's 33% stake worth $2.3-2.7 billion.
Institutions evaluation
1. Xenon Productions is a small, UK-based production company that produces horror films on low budgets.
2. For funding and distribution, they partner with Pathé, a major/minor distributor known for distributing smaller horror films successfully, such as The Blair Witch Project.
3. The film will be initially exhibited in independent cinemas and then released on DVD, streaming services, and YouTube to generate revenue from ads.
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This case study was done as a part of my class assignment for Introduction of Analytics. It explains how Netflix uses Big Data and why is so successful.
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Microeconomics presentation- Full Sail
Netflix is the world's leading streaming entertainment service, offering TV shows, movies, documentaries across 190 countries. It began as a DVD rental service in 1997 and launched streaming in 2007. Netflix now produces its own original content and has over 158 million paid subscribers globally. While it faces competition from Amazon, Hulu, and others, Netflix has maintained its lead through a focus on commercial-free, unlimited streaming and exclusive original productions. The company expects continued growth in subscribers and revenue as streaming video on-demand remains an expanding market.
Recommended
IFPro Deck
This document describes a web application called tvforecastifpro.co that aims to utilize big data in the television industry. It will create the world's largest entertainment data warehouse and provide actionable analytics and insights through an intuitive interface. This will allow users access to comprehensive television viewership data and metrics for affordable monthly fees, addressing the need for affordable big data software in the industry.
Discovery case study
Austin tuned in to the Discovery Channel show Naked and Afraid after seeing a digital ad. Discovery Communications (DCI) wanted help reaching their audiences across more screens to increase ratings. Epsilon used a custom process matching DCI shows to potential viewers using a seed list, then targeted digital campaigns. Ratings for Naked and Afraid increased 30% over the prior season premiere and it was the number one non-sports cable telecast that night.
IFPro Pitch Deck
This document describes a web application called TVForecastIFPro that aims to disrupt the television industry by utilizing big data analytics. It provides comprehensive entertainment data and insights to networks for show development, targeting audiences. The application offers customizable analytics on viewership, ratings, demographics and more. It claims competitive advantages over other solutions through its unique database, affordable fees, and intuitive interface. The goal is to provide networks an affordable alternative to traditional methods for better return on investment.
Industry Forecast Project Pitch Deck
Television production is really kind of archaic--it has more or less followed the same model since its inception, and that model doesn't really use data effectively to help decide what content is likely to be successful.
We believe that by providing content creators access to our entertainment database that they can make more informed choices about their shows, and create better television for us all.
Hulu
Hulu is steadily growing its streaming subscriber base and expanding its content library. It recently launched a higher priced, ad-free subscription tier and has begun offering exclusive shows to attract more subscribers. Hulu has around 10 million subscribers currently, still far behind Netflix, but subscriptions have nearly doubled in the past two years. Hulu's dual revenue model from advertising and subscription fees provides higher revenue per user than competitors and could lead to a higher valuation. The analyst estimates Hulu's value at $7-8 billion by the end of 2016, with Fox's 33% stake worth $2.3-2.7 billion.
Institutions evaluation
1. Xenon Productions is a small, UK-based production company that produces horror films on low budgets.
2. For funding and distribution, they partner with Pathé, a major/minor distributor known for distributing smaller horror films successfully, such as The Blair Witch Project.
3. The film will be initially exhibited in independent cinemas and then released on DVD, streaming services, and YouTube to generate revenue from ads.
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This case study was done as a part of my class assignment for Introduction of Analytics. It explains how Netflix uses Big Data and why is so successful.
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Netflix's marketing plan focuses on continuing to add newer content and movies. A SWOT analysis identifies strengths such as brand recognition worldwide and competitive pricing, weaknesses like declining DVD membership, opportunities like expanding internationally, and threats from competition. The plan targets young to middle-aged adults by offering more newly released movies and TV shows on Friday nights, along with incentives like a free month for referrals. Metrics will evaluate the effectiveness of increasing viewership demographics.
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The document discusses Netflix and its rise as an online streaming platform. It provides details on Netflix's history starting as a DVD rental service and its transition to online streaming. It highlights Netflix's large library of content, affordable subscription costs, and availability across devices as factors in its success. The document also discusses Netflix's competitors, its strategy of producing original content, and its growth in subscribers globally. Netflix is presented as revolutionizing the entertainment industry and becoming the dominant force in online streaming.
One More Episode An Industry and Competitive Analysis for Netfl.docx
One More Episode: An Industry and Competitive Analysis for Netflix
David Bazile
Abstract
This study is to provide a thorough analysis of Netflix as a corporation. Netflix shows their competences such as their brand image and their leadership in the streaming industry as well how they take consumer opinion into what goes on their website. The following paper will demonstrate an overview of Netflix and the video streaming service industry. This paper will then focus on the external and internal analysis of the company using matrices such as Porter’s Five Forces, External Forces Evaluation (EFE), Internal Forces Evaluation (IFE), and the SPACE tool. These matrices has been analyzed but strengths, weaknesses, opportunities and threats have been identified used in the TOWS matrix. Focusing on different alternative business strategies, the paper shows possible solutions for different identified problems of Netflix. Some of the Problems that Netflix will be facing is the saturation of the Industry but through the use of Market Penetration and Development Netflix can make it out okay. The paper will then be concluded with how the implementations of the proposed solutions can strengthen Netflix’s position in the streaming industry.
______________________________________________________________________________
1. Introduction
Netflix was co-founded by both Reed Hastings and Marc Randolph in 1997. The goal was to offer online movie rentals in Scotts Valley, California. Hastings wanted to be able to rent movies on the internet. There was also an old discredited story that claims that “Hastings had the idea after Blockbuster charged him a $40 late fee for ‘Apollo 13.’” In 1999, Netflix begins to use the subscription service that allows consumers to rent unlimited movies for one low subscription. In the year 2000, Netflix launches the personalized movie recommendation system that uses member’s ratings to predict choices for Netflix’s customers as well as recommend newer content to the same customers. In May of 2002 Netflix announces its IPO offering 5,500,000 at the price of $15.00 per share under the name NFLX. In 2005 Netflix reaches 4.2 million people. Netflix first introduces streaming which allows members to instantly watch television shows and movies from their computer in 2007 making them a pioneer in this industry. A year later Netflix partners with consumer electronic companies to stream on Xbox, Blu-ray disc players and TV set up boxes. PS3, internet controlled televisions and other internet connected devices came a year later in 2009. In 2010 it is available on Apple devices, the Nintendo Wii and they launched in Canada. The next year, in 2011, Netflix launched in Latin America and the Caribbean. In 2012, Netflix launches in Europe and they won their first Primetime Emmy Engineering Award. The year after Netflix expands to the Netherlands and Netflix also received 31 Emmy and wins 3 of them for its original content. Finally, last year, Netflix .
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- Around half of respondents paid for a Netflix subscription, with most having been subscribers for over 2 years. Value, library size, and product strength were reasons people would not cancel Netflix, though some wanted more new content.
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1Netflix NetflixAssignment 3.docx
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Netflix
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Table of Contents
Executive Summary……………………………………………………………………………….3
Section One: Prepare an e-Commerce in Action: The Business Model of the Company…......3-11
The Vision………………………………………………………………………………3-4
Business Model……………………………………………………………………………4
Financial Analysis………………………………………………………………………4-5
Strategic Analysis…………………………………………………………...…………5-11
Business Strategy………………………………………………………………..5-6
Competition……………………………………………………………………..6-8
Technology………………………………………….…………………………8-10
Social & Legal Challenges…………………………………………………...10-11
Section Two: The Positioning of the Company to the Challenges Ahead…………………...11-13
References……………………………………………………………………………………14-16
Appendix………………………………………………...……………………………………….17
Executive Summary
Throughout this paper, we will be moving forward and looking at what the future entails for the entertainment TV company, Netflix. We will start by looking at the company’s vision, their current and possible future business model, their finances, and their strategic business decisions. In order to better analyze their strategic business decisions, we have looked at relevant factors such as their business strategies, competition, technology, and social & legal challenges. Diving into all these external and internal factors will help Netflix better prepare for the challenges we expect them to face, which will be discussed in section two. By the end of this paper we hope the reader has a better grasp on how Netflix operates and plans to continue its successful online marketing to overcome challenges and stay relevant over the course of the next few years.
Section One: Prepare an e-Commerce in Action: The Business Model of the Company
The Vision
Netflix envisions that online streaming services will know what viewers want to watch, even before they themselves do by 2025 (“What Television,” 2014). Through the company’s personalization technology, viewers won’t have to spend so much time browsing through television channels and endless lists of shows on-demand (“What Television,” 2014). Instead, Netflix’s recommendation system will suggest one or two offerings that will fit with the viewers likes and interests of genres (“What Television,” 2014). In terms of variety of shows, Netflix releases niche media content that would be for small audiences. However, when Netflix’s personalization engine is perfected, it will become easier to discover these types of genres for the small audience (“What Television,” 2014). For production, Netflix sees a future for filmmakers to have the freedom to not be restricted to time and not have to tease viewers with a cliffhanger at each episode (“What Television,” 2014). Netflix envision continuous binge-worthy content that can go right into the next episode (“What Television,” 2014). In addition, Netflix believes that commercials will die, and advertisers will have to find new ways to deliver targeted advertisements (“What Television,” 2.
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3. The activation processes for both services required switching between the TV and computer, which users disliked, preferring an all-TV activation.
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This document discusses improving movie recommendation systems. Currently, services like Netflix rely on broad criteria like genres and previous ratings to suggest movies. However, this lacks specificity and variety. The document proposes a system that incorporates extensive movie reviews, ratings of themes within each movie, and a personalized survey of a user's preferences and mood. This would allow the system to provide more accurate recommendations by matching movies to the core of what a user wants to watch.
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Netflix began in 1997 as an online movie rental service without late fees. It launched a DVD-by-mail subscription service in 1999. In 2007, Netflix introduced online streaming, allowing subscribers to watch movies and TV shows via the internet. While Netflix grew rapidly, competitors emerged offering similar streaming services. Netflix's strategy focused on acquiring a wide selection of content, easy-to-use technology, marketing, and expanding streaming internationally while transitioning U.S. subscribers from DVD-by-mail. This strategic approach helped Netflix become the leading internet television network.
AlSuwailim 1Netflix and ChillThe recent years have seen an .docx
AlSuwailim 1
Netflix and Chill?
The recent years have seen an emerging trend with regard to increased use and subscription to streaming services like Netflix, Hulu, Amazon Prime among others. There are many advantages to switching to these streaming services. For instance, it’s often less expensive than paying for cable or satellite television, viewers have the ability to watch the shows of their liking at more places than just the comfort of their home and at any time. However, even with the flexibility and the reduced costs that streaming applications allow, there are a number of issues to consider like how this new internet streaming trend is affecting our social and workplace efficiency. This commentary shall mainly focus on the negative impact the trend of streaming applications has on our society. According to a research done by Pricewaterhouse Coopers (PwC) in 2013, approximately 63% of households in the United states use a video streaming and service such as Netflix, Hulu or Amazon Prime (Matrix, 2014). The Leichtman Research Group found that 22% of these households are streaming Netflix, every week of the year. In Canada, approximately 25% of its residents have subscribed to Netflix. This figure jumps to 33% in households with teens, and it rises again to 37% in households with children under the age of twelve. Comment by Hannah Way: This should have been included in the introduction.
According to Shannon (2015), shifts in viewing habits around the world are proving an opportunity for streaming services like Netflix, which began only as a DVD rental company. Netflix’s accelerated growth as a result of the remarkable general growth of the internet has seen to its expansion in more than 50 countries worldwide. Increased popularity for streaming applications can be attributed to their flexibility in terms of access that is on television or iPhone or computer without missing a beat; streaming services like Netflix have original programs not available elsewhere, they often have better interface than cable television, and people like the freedom of choosing what to watch. In addition, charges for streaming services are lower than those for cable or satellite television. For instance, Netflix offers a basic monthly subscription of $7.99 per month. Premium subscriptions are available for $9.99 and $11.99 per month allow for high quality video feeds and multiple people can use simultaneously on the same account (Kyrnin, 2016). Netflix and other streaming media are changing viewing habits, and viewer’s expectations with regard to what, when and how they watch television. As a result, it’s not surprising that viewers are now watching more television and in large doses at a go.
However, all the glimmer of streaming services is not necessarily gold. To begin with, streaming services encourage binge watching. Users can spend dozens of hours watching shows and programs. Shannon (2015) points to Netflix’s intention to increase original prog.
4Running Head WEEK 2 TEAM ASSIGNMENTBusiness Re.docx
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Running Head: WEEK 2 TEAM ASSIGNMENT
Business Research Project Part 1
Learning Team A
Ly Bui, Tammy del Campo, La Shawn Herron-Guy, Claudia Hernandez, Janice Jenkins,
Natasha O’Keefe
QNT/561
April 11, 2016
Matthew Radio
Flexnet
Introduction
The consumer product rental industry continues to grow and improve services beyond video stores, “Flexnet steers couch potatoes away from the video store to the mailbox or Internet. The company's more than 57 million subscribers in 50 countries can download movies or rent DVDs for a monthly fee through Flexnet.com” (Hoovers (2016) (para. 1). As the era changes, instead of DVD rental, the focus is on the fast-growing streaming service.
Organizational Dilemma
Flexnet seems to be successful with strong financial performance. However, Flexnet has faced pricing dilemmas. Many subscribers, investors questioned if Flexnet can develop a competitive market. With a need for a renewal its license, content, and agreements frequently; Flexnet is under pressure to reduce the prices with hiked licensing fees. Amazon Prime and Hulu are one of the main competitors of Flexnet, who stream their contents. Customers expect to get high-quality products at reasonable price. “…Management needs to find the best method to solve these dilemmas” (Business Insider, 2011).
Variables Based on Business Dilemma
Flexnet premium channel choose a survey to solicit scaled and closed-end responses by customers to determine interest in proposed streaming capabilities. Using the Internet via Facebook and Google AdWords to find respondents, the team commissioned an exploratory study to measure subscription interest in premium channels through Flexnet (independent variable), price structure (dependent variable) and premium channel offering possibilities (dependent variable).
The design of the survey questions is causal — designed to determine if an asymmetrical relationship exists between the likelihood of customers’ subscription, channels offered, and monthly fee the client is willing to pay. The method of data collection employed was to collect responses from a sample of convenience from current customers who are on the internet. Whereas the reliability and validity provide challenges in evaluating, the independent status of Team A in the survey mitigates any perceived bias in the study.
Research Objective
Flexnet has determined the need to raise prices by 12.5 % = $1.00 or 25 % = $2.00 increases in the near future; it is important to provide data and research behind what impact this might have for current and new subscribers. Several important factors to consider when thinking of the price increase decisions are:
1. Flexnet’s costs
2. Flexnet profits
3. Market demand
4. Industry standards
5. Business Strategy
6. What experiences and service is wanted for the subscribers?
7. Customer expectations
Flexnet has decided a survey would be the best possibility to obtain the data needed to make decisions.
A few questions in Flex.
Report: EDA of TV shows & movies available on Netflix
This document describes an exploratory data analysis project analyzing TV shows and movies available on Netflix. The analysis uses a dataset from Kaggle containing 7,788 rows of data about Netflix content. Visualizations were created using Plotly to show trends in movies versus TV shows by year and month. Additional insights include the top countries of origin, most frequent casts, and genres for movies and TV shows. The analysis provides a overview of Netflix content and how it varies by factors like country, genre, and duration.
Netflix Final
This document provides an executive summary for Netflix's 2011 campaign. The campaign aims to increase sales and brand awareness through Netflix's DVD rental and streaming services. Key points include focusing advertising efforts on TV, internet, and unconventional placements like QR codes on movie candy. The goal is to reach more of Netflix's target audience and influence more subscribers. Suggested changes aim to promote Netflix's $7.99 streaming-only plan and expand streaming content.
Netflix Promotional Campaign
This document provides an executive summary for Netflix's 2011 campaign. The campaign aims to increase sales and brand awareness through advertising. Some key points:
- Netflix offers the largest selection of DVDs for rental as well as low-cost streaming options.
- The campaign goals are to reach more of their target audience and increase customer numbers.
- Suggestions are made to improve internet, TV, and unconventional advertising (QR codes on candy).
- The goal is to spread awareness of Netflix's services and influence more people to subscribe.
Lies damned lies and statistics
"Lies, damned lies, and statistics" is a popular phrase that is often used to disparage statistics that do not properly support a particular position. Humans have a fondness for numbers, but unfortunately those numbers are sometimes misused or even abused.
Guide to data analytics
Data science has become essential for businesses to analyze large amounts of data. While machine learning seems promising, there are no shortcuts - data exploration is needed to improve model accuracy. The key steps of data exploration are identifying variables, univariate and bivariate analysis, and treating missing values and outliers to clean the data before building predictive models. Understanding the data generation process is important for leaders to evaluate the quality of analytics.
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Netflix's marketing plan focuses on continuing to add newer content and movies. A SWOT analysis identifies strengths such as brand recognition worldwide and competitive pricing, weaknesses like declining DVD membership, opportunities like expanding internationally, and threats from competition. The plan targets young to middle-aged adults by offering more newly released movies and TV shows on Friday nights, along with incentives like a free month for referrals. Metrics will evaluate the effectiveness of increasing viewership demographics.
All About Netflix - The Rise and Rise
The document discusses Netflix and its rise as an online streaming platform. It provides details on Netflix's history starting as a DVD rental service and its transition to online streaming. It highlights Netflix's large library of content, affordable subscription costs, and availability across devices as factors in its success. The document also discusses Netflix's competitors, its strategy of producing original content, and its growth in subscribers globally. Netflix is presented as revolutionizing the entertainment industry and becoming the dominant force in online streaming.
One More Episode An Industry and Competitive Analysis for Netfl.docx
One More Episode: An Industry and Competitive Analysis for Netflix
David Bazile
Abstract
This study is to provide a thorough analysis of Netflix as a corporation. Netflix shows their competences such as their brand image and their leadership in the streaming industry as well how they take consumer opinion into what goes on their website. The following paper will demonstrate an overview of Netflix and the video streaming service industry. This paper will then focus on the external and internal analysis of the company using matrices such as Porter’s Five Forces, External Forces Evaluation (EFE), Internal Forces Evaluation (IFE), and the SPACE tool. These matrices has been analyzed but strengths, weaknesses, opportunities and threats have been identified used in the TOWS matrix. Focusing on different alternative business strategies, the paper shows possible solutions for different identified problems of Netflix. Some of the Problems that Netflix will be facing is the saturation of the Industry but through the use of Market Penetration and Development Netflix can make it out okay. The paper will then be concluded with how the implementations of the proposed solutions can strengthen Netflix’s position in the streaming industry.
______________________________________________________________________________
1. Introduction
Netflix was co-founded by both Reed Hastings and Marc Randolph in 1997. The goal was to offer online movie rentals in Scotts Valley, California. Hastings wanted to be able to rent movies on the internet. There was also an old discredited story that claims that “Hastings had the idea after Blockbuster charged him a $40 late fee for ‘Apollo 13.’” In 1999, Netflix begins to use the subscription service that allows consumers to rent unlimited movies for one low subscription. In the year 2000, Netflix launches the personalized movie recommendation system that uses member’s ratings to predict choices for Netflix’s customers as well as recommend newer content to the same customers. In May of 2002 Netflix announces its IPO offering 5,500,000 at the price of $15.00 per share under the name NFLX. In 2005 Netflix reaches 4.2 million people. Netflix first introduces streaming which allows members to instantly watch television shows and movies from their computer in 2007 making them a pioneer in this industry. A year later Netflix partners with consumer electronic companies to stream on Xbox, Blu-ray disc players and TV set up boxes. PS3, internet controlled televisions and other internet connected devices came a year later in 2009. In 2010 it is available on Apple devices, the Nintendo Wii and they launched in Canada. The next year, in 2011, Netflix launched in Latin America and the Caribbean. In 2012, Netflix launches in Europe and they won their first Primetime Emmy Engineering Award. The year after Netflix expands to the Netherlands and Netflix also received 31 Emmy and wins 3 of them for its original content. Finally, last year, Netflix .
At Your Service: What Netflix and Assessments Have In Common | SoGoSurvey
The most important data deserves the most attention, right? Whether you're scoring a quiz with weighted items and categories or prioritizing some behavioral data points over others, the algorithms behind assessment drive deeper understanding of valuable takeaways and implications.
Netflix
Netflix is an American provider of on-demand internet streaming media available in North and South America, parts of Europe, and Asia. It began as a DVD rental service in 1997 and launched streaming in 2007. Netflix now has over 40 million subscribers worldwide and a large library of movies and TV shows. It collects extensive customer data to personalize recommendations and has strong brand recognition due to its original content like House of Cards. While competitors like Amazon offer lower prices or more content, Netflix remains a leader in online video streaming through its personalized user experience.
Zemoga: OTT Trends and future predictions
Consumers expect streaming content from robust OTT apps for mobile and connected TVs. But only the best brands evolve these apps into successful enterprises. Now yours will too!
OTT trends & future predictions key takeaways:
- OTT entertainment and media spending forecasts
- How UX will continue to drive OTT app engagement
- Pros and cons of direct-to-consumer TV apps vs. streaming service aggregators
- Launching/improving an OTT service in 2020: challenges and opportunities
- Growing your team: in-house vs. offshoring vs. nearshoring
Stifel - SurveyMonkey Presentation (2-10-15)
The document summarizes the key findings from a survey of over 400 consumers on topics related to Amazon, Netflix, Twitter, and travel. Some of the main findings include:
- Almost 70% of respondents had made a purchase from Amazon in the past 90 days, with 43% being paying Amazon Prime subscribers who cited free shipping as the top reason for joining Prime.
- Around half of respondents paid for a Netflix subscription, with most having been subscribers for over 2 years. Value, library size, and product strength were reasons people would not cancel Netflix, though some wanted more new content.
- About 60% of respondents said they never view Twitter, with suggested ways to engage more users including fewer ads and fake accounts.
1Netflix NetflixAssignment 3.docx
1
Netflix
Netflix
Assignment 3
Table of Contents
Executive Summary……………………………………………………………………………….3
Section One: Prepare an e-Commerce in Action: The Business Model of the Company…......3-11
The Vision………………………………………………………………………………3-4
Business Model……………………………………………………………………………4
Financial Analysis………………………………………………………………………4-5
Strategic Analysis…………………………………………………………...…………5-11
Business Strategy………………………………………………………………..5-6
Competition……………………………………………………………………..6-8
Technology………………………………………….…………………………8-10
Social & Legal Challenges…………………………………………………...10-11
Section Two: The Positioning of the Company to the Challenges Ahead…………………...11-13
References……………………………………………………………………………………14-16
Appendix………………………………………………...……………………………………….17
Executive Summary
Throughout this paper, we will be moving forward and looking at what the future entails for the entertainment TV company, Netflix. We will start by looking at the company’s vision, their current and possible future business model, their finances, and their strategic business decisions. In order to better analyze their strategic business decisions, we have looked at relevant factors such as their business strategies, competition, technology, and social & legal challenges. Diving into all these external and internal factors will help Netflix better prepare for the challenges we expect them to face, which will be discussed in section two. By the end of this paper we hope the reader has a better grasp on how Netflix operates and plans to continue its successful online marketing to overcome challenges and stay relevant over the course of the next few years.
Section One: Prepare an e-Commerce in Action: The Business Model of the Company
The Vision
Netflix envisions that online streaming services will know what viewers want to watch, even before they themselves do by 2025 (“What Television,” 2014). Through the company’s personalization technology, viewers won’t have to spend so much time browsing through television channels and endless lists of shows on-demand (“What Television,” 2014). Instead, Netflix’s recommendation system will suggest one or two offerings that will fit with the viewers likes and interests of genres (“What Television,” 2014). In terms of variety of shows, Netflix releases niche media content that would be for small audiences. However, when Netflix’s personalization engine is perfected, it will become easier to discover these types of genres for the small audience (“What Television,” 2014). For production, Netflix sees a future for filmmakers to have the freedom to not be restricted to time and not have to tease viewers with a cliffhanger at each episode (“What Television,” 2014). Netflix envision continuous binge-worthy content that can go right into the next episode (“What Television,” 2014). In addition, Netflix believes that commercials will die, and advertisers will have to find new ways to deliver targeted advertisements (“What Television,” 2.
Netflix Final Draft
This document analyzes whether Amazon should acquire Netflix. It begins by providing background on Netflix, including its operations, costs, revenue sources, and strategy of expanding its streaming service and original content. It then discusses Netflix's competition in the streaming market, namely Amazon Prime Video, HBO Now, and Hulu, comparing their pricing, content offerings, and business models. The document aims to determine if acquiring Netflix would be feasible and profitable for Amazon based on both qualitative and quantitative analysis.
Netflix Case Study
This document provides a case study on Netflix that analyzes how Netflix has grown to become the most successful online streaming company through its use of various digital economies. It discusses Netflix's history from a DVD rental service to an online streaming platform. It then analyzes how Netflix leverages the digital, free, attention, subscription, and network economies to drive its business model and sustain ongoing success. Key points include how Netflix adapts to technological changes, uses free trials and data collection, produces original content, offers access through subscriptions over ownership, and leverages its large user network and data.
Catalyst Roku Report
The document summarizes insights from user testing of the Roku digital media player and its bundled Netflix and Amazon Video services. Key findings include:
1. Users saw value in the Roku for convenient streaming but wanted an entirely TV-based experience without needing a computer.
2. Preferences for Netflix versus Amazon's pay models depended on viewing frequency, with frequent viewers preferring Netflix's flat fee.
3. The activation processes for both services required switching between the TV and computer, which users disliked, preferring an all-TV activation.
Public Relations Proposal for Netflix
This was a final project for IMC 618 - PR Concepts & Strategy. This Public Relations plan spanned 9 weeks and was the final execution for my chosen client, Netflix.
Rich110final
This document discusses improving movie recommendation systems. Currently, services like Netflix rely on broad criteria like genres and previous ratings to suggest movies. However, this lacks specificity and variety. The document proposes a system that incorporates extensive movie reviews, ratings of themes within each movie, and a personalized survey of a user's preferences and mood. This would allow the system to provide more accurate recommendations by matching movies to the core of what a user wants to watch.
Public Relations Campaign for Netflix: PR Assignment
Netflix is launching a public relations campaign to maintain its position as the leading streaming service and increase its global subscriber base. The campaign will focus on developing entertaining original content to share on social media instead of advertisements. It will aim to grow subscribers to over 150 million in six months through diverse original content, transparency to build loyalty, and customer engagement on social media. Goals include improving the user experience and maintaining over 90% of current subscribers. Target audiences are TV and movie enthusiasts who value convenience, personalization, and binge watching on Netflix. Key messages will emphasize Netflix's high-quality, growing content library and personalized entertainment experience.
Case Study Netflix
Netflix began in 1997 as an online movie rental service without late fees. It launched a DVD-by-mail subscription service in 1999. In 2007, Netflix introduced online streaming, allowing subscribers to watch movies and TV shows via the internet. While Netflix grew rapidly, competitors emerged offering similar streaming services. Netflix's strategy focused on acquiring a wide selection of content, easy-to-use technology, marketing, and expanding streaming internationally while transitioning U.S. subscribers from DVD-by-mail. This strategic approach helped Netflix become the leading internet television network.
AlSuwailim 1Netflix and ChillThe recent years have seen an .docx
AlSuwailim 1
Netflix and Chill?
The recent years have seen an emerging trend with regard to increased use and subscription to streaming services like Netflix, Hulu, Amazon Prime among others. There are many advantages to switching to these streaming services. For instance, it’s often less expensive than paying for cable or satellite television, viewers have the ability to watch the shows of their liking at more places than just the comfort of their home and at any time. However, even with the flexibility and the reduced costs that streaming applications allow, there are a number of issues to consider like how this new internet streaming trend is affecting our social and workplace efficiency. This commentary shall mainly focus on the negative impact the trend of streaming applications has on our society. According to a research done by Pricewaterhouse Coopers (PwC) in 2013, approximately 63% of households in the United states use a video streaming and service such as Netflix, Hulu or Amazon Prime (Matrix, 2014). The Leichtman Research Group found that 22% of these households are streaming Netflix, every week of the year. In Canada, approximately 25% of its residents have subscribed to Netflix. This figure jumps to 33% in households with teens, and it rises again to 37% in households with children under the age of twelve. Comment by Hannah Way: This should have been included in the introduction.
According to Shannon (2015), shifts in viewing habits around the world are proving an opportunity for streaming services like Netflix, which began only as a DVD rental company. Netflix’s accelerated growth as a result of the remarkable general growth of the internet has seen to its expansion in more than 50 countries worldwide. Increased popularity for streaming applications can be attributed to their flexibility in terms of access that is on television or iPhone or computer without missing a beat; streaming services like Netflix have original programs not available elsewhere, they often have better interface than cable television, and people like the freedom of choosing what to watch. In addition, charges for streaming services are lower than those for cable or satellite television. For instance, Netflix offers a basic monthly subscription of $7.99 per month. Premium subscriptions are available for $9.99 and $11.99 per month allow for high quality video feeds and multiple people can use simultaneously on the same account (Kyrnin, 2016). Netflix and other streaming media are changing viewing habits, and viewer’s expectations with regard to what, when and how they watch television. As a result, it’s not surprising that viewers are now watching more television and in large doses at a go.
However, all the glimmer of streaming services is not necessarily gold. To begin with, streaming services encourage binge watching. Users can spend dozens of hours watching shows and programs. Shannon (2015) points to Netflix’s intention to increase original prog.
4Running Head WEEK 2 TEAM ASSIGNMENTBusiness Re.docx
4
Running Head: WEEK 2 TEAM ASSIGNMENT
Business Research Project Part 1
Learning Team A
Ly Bui, Tammy del Campo, La Shawn Herron-Guy, Claudia Hernandez, Janice Jenkins,
Natasha O’Keefe
QNT/561
April 11, 2016
Matthew Radio
Flexnet
Introduction
The consumer product rental industry continues to grow and improve services beyond video stores, “Flexnet steers couch potatoes away from the video store to the mailbox or Internet. The company's more than 57 million subscribers in 50 countries can download movies or rent DVDs for a monthly fee through Flexnet.com” (Hoovers (2016) (para. 1). As the era changes, instead of DVD rental, the focus is on the fast-growing streaming service.
Organizational Dilemma
Flexnet seems to be successful with strong financial performance. However, Flexnet has faced pricing dilemmas. Many subscribers, investors questioned if Flexnet can develop a competitive market. With a need for a renewal its license, content, and agreements frequently; Flexnet is under pressure to reduce the prices with hiked licensing fees. Amazon Prime and Hulu are one of the main competitors of Flexnet, who stream their contents. Customers expect to get high-quality products at reasonable price. “…Management needs to find the best method to solve these dilemmas” (Business Insider, 2011).
Variables Based on Business Dilemma
Flexnet premium channel choose a survey to solicit scaled and closed-end responses by customers to determine interest in proposed streaming capabilities. Using the Internet via Facebook and Google AdWords to find respondents, the team commissioned an exploratory study to measure subscription interest in premium channels through Flexnet (independent variable), price structure (dependent variable) and premium channel offering possibilities (dependent variable).
The design of the survey questions is causal — designed to determine if an asymmetrical relationship exists between the likelihood of customers’ subscription, channels offered, and monthly fee the client is willing to pay. The method of data collection employed was to collect responses from a sample of convenience from current customers who are on the internet. Whereas the reliability and validity provide challenges in evaluating, the independent status of Team A in the survey mitigates any perceived bias in the study.
Research Objective
Flexnet has determined the need to raise prices by 12.5 % = $1.00 or 25 % = $2.00 increases in the near future; it is important to provide data and research behind what impact this might have for current and new subscribers. Several important factors to consider when thinking of the price increase decisions are:
1. Flexnet’s costs
2. Flexnet profits
3. Market demand
4. Industry standards
5. Business Strategy
6. What experiences and service is wanted for the subscribers?
7. Customer expectations
Flexnet has decided a survey would be the best possibility to obtain the data needed to make decisions.
A few questions in Flex.
Report: EDA of TV shows & movies available on Netflix
This document describes an exploratory data analysis project analyzing TV shows and movies available on Netflix. The analysis uses a dataset from Kaggle containing 7,788 rows of data about Netflix content. Visualizations were created using Plotly to show trends in movies versus TV shows by year and month. Additional insights include the top countries of origin, most frequent casts, and genres for movies and TV shows. The analysis provides a overview of Netflix content and how it varies by factors like country, genre, and duration.
Netflix Final
This document provides an executive summary for Netflix's 2011 campaign. The campaign aims to increase sales and brand awareness through Netflix's DVD rental and streaming services. Key points include focusing advertising efforts on TV, internet, and unconventional placements like QR codes on movie candy. The goal is to reach more of Netflix's target audience and influence more subscribers. Suggested changes aim to promote Netflix's $7.99 streaming-only plan and expand streaming content.
Netflix Promotional Campaign
This document provides an executive summary for Netflix's 2011 campaign. The campaign aims to increase sales and brand awareness through advertising. Some key points:
- Netflix offers the largest selection of DVDs for rental as well as low-cost streaming options.
- The campaign goals are to reach more of their target audience and increase customer numbers.
- Suggestions are made to improve internet, TV, and unconventional advertising (QR codes on candy).
- The goal is to spread awareness of Netflix's services and influence more people to subscribe.
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Lies damned lies and statistics
"Lies, damned lies, and statistics" is a popular phrase that is often used to disparage statistics that do not properly support a particular position. Humans have a fondness for numbers, but unfortunately those numbers are sometimes misused or even abused.
Guide to data analytics
Data science has become essential for businesses to analyze large amounts of data. While machine learning seems promising, there are no shortcuts - data exploration is needed to improve model accuracy. The key steps of data exploration are identifying variables, univariate and bivariate analysis, and treating missing values and outliers to clean the data before building predictive models. Understanding the data generation process is important for leaders to evaluate the quality of analytics.
Bad statistics
Statistics can be manipulated to mislead if the numbers and information are changed or used without verification. There are different types of uncertainties in statistics and data collection, including random fluctuations, a lack of complete certainty, and misunderstandings between scientists and lay audiences. Proper data collection methods are important for gathering meaningful information to answer research questions.
Predictive analytics
A Predictive Analytics Primer.Predictive analytics encompasses a variety of statistical techniques from predictive modelling, machine learning, and data mining that analyze current and historical facts to make predictions about future or otherwise unknown events.
Data communication
Data communication refers to the exchange of data between a source and receiver. It can be local, occurring within the same building, or remote, occurring over data transmission circuits. A data communication system collects data from remote locations and outputs processed results remotely. It consists of a message, sender, receiver, medium like wired or wireless networks, and protocols that govern communication between devices by sequencing data, routing, formatting, controlling flow, and detecting and correcting errors. Protocols also determine precedence, connection establishment, and termination.
The beauty of data visualization
Data visualization is the visual representation of data to help people understand patterns and insights that may be missed in text-based data. Modern tools go beyond standard charts to represent data through infographics, maps, and other complex visuals. Data visualization has become essential for business intelligence as it makes data insights accessible throughout organizations and easier to understand than raw data or statistics. The concept of visualizing data has existed for centuries but tools now automate detecting correlations and optimal chart types to represent insights.
Make data more human
Jer Thorp's work focuses on adding meaning and narrative to large amounts of data to help people understand and control the information around them. There are six ways to make data more human: use human insight to frame problems, remember that more data is not always better and can find false correlations, account for human biases and self-deception in data, understand that context is important, embrace that data can help abandon stereotypes, and realize that stories told by robots lack human emotion. These insights are relevant for managers in India because collecting and storing vast amounts of personal data overseas risks privacy violations and data access by foreign governments or companies that could affect a nation's policies.
How to start thinking like a data scientist
Data scientists spend most of their time preparing data by getting it into the right format, augmenting it, and checking for missing information. This is an ongoing process that is time-intensive. They also face challenges in applying domain expertise to solve problems and refining data for high-quality analytics. Valuable skills for data scientists include expertise in databases, software engineering, machine learning, statistics, and being inquisitive. For managers in India, data science is the fastest growing field and companies are looking to strengthen their data teams and hire people skilled in tools like R, Python, and Hadoop.
Big data
Big data refers to large and complex data sets that are difficult to manage and analyze using traditional data management tools. It is generated from various sources like social media, scientific instruments, mobile devices, and sensor technology. Big data provides opportunities for insights and smart solutions but also poses challenges in processing, analyzing, and gaining insights from such large volumes of data. For managers in India, big data is highly relevant as the Indian analytics industry is growing rapidly and is expected to reach $16 billion by 2025, with big data being a major driver of growth in industries. Digitalization is also expanding the big data market in India as internet and smartphone usage increases across more regions of the country.
Data analysis
Data analytics involves analyzing data sets without hypotheses to discover meaningful trends. It utilizes techniques like data mining to identify novel relationships and visualize data to observe trends. This enables quick decisions based on observed trends. Data scientists specialize in data analytics and make discoveries in large, diverse data. They help companies like Google and Zynga optimize algorithms and user experiences. India has a growing market for data analytics and a shortage of data scientists despite increased demand, positioning it for growth in this field.
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选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
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3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
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8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
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选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
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【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
State of Artificial intelligence Report 2023
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
一比一原版(UO毕业证)渥太华大学毕业证如何办理
UO毕业证录取书【微信95270640】购买（渥太华大学毕业证成绩单硕士学历）Q微信95270640代办UO学历认证留信网伪造渥太华大学学位证书精仿渥太华大学本科/硕士文凭证书补办渥太华大学 diplomaoffer,Transcript购买渥太华大学毕业证成绩单购买UO假毕业证学位证书购买伪造渥太华大学文凭证书学位证书,专业办理雅思、托福成绩单，学生ID卡，在读证明，海外各大学offer录取通知书，毕业证书，成绩单，文凭等材料:1:1完美还原毕业证、offer录取通知书、学生卡等各种在读或毕业材料的防伪工艺（包括 烫金、烫银、钢印、底纹、凹凸版、水印、防伪光标、热敏防伪、文字图案浮雕，激光镭射，紫外荧光，温感光标）学校原版上有的工艺我们一样不会少，不论是老版本还是最新版本，都能保证最高程度还原，力争完美以求让所有同学都能享受到完美的品质服务。
文凭办理流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：微信95270640我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
7完成交易删除客户资料
高精端提供以下服务：
一：渥太华大学渥太华大学毕业证文凭证书全套材料从防伪到印刷水印底纹到钢印烫金
二：真实使馆认证（留学人员回国证明）使馆存档
三：真实教育部认证教育部存档教育部留服网站可查
四：留信认证留学生信息网站可查
五：与学校颁发的相关证件1:1纸质尺寸制定（定期向各大院校毕业生购买最新版本毕,业证成绩单保证您拿到的是鲁昂大学内部最新版本毕业证成绩单微信95270640）
A.为什么留学生需要操作留信认证?
留信认证全称全国留学生信息服务网认证,隶属于北京中科院。①留信认证门槛条件更低,费用更美丽,并且包过,完单周期短,效率高②留信认证虽然不能去国企,但是一般的公司都没有问题,因为国内很多公司连基本的留学生学历认证都不了解。这对于留学生来说,这就比自己光拿一个证书更有说服力,因为留学学历可以在留信网站上进行查询!
B.为什么我们提供的毕业证成绩单具有使用价值？
查询留服认证是国内鉴别留学生海外学历的唯一途径但认证只是个体行为不是所有留学生都操作所以没有办理认证的留学生的学历在国内也是查询不到的他们也仅仅只有一张文凭。所以这时候我们提供的和学校颁发的一模一样的毕业证成绩单就有了使用价值。只硕大的蛇皮袋手里拎着长铁钩正站在门口朝黑色的屋内张望不好坏人小偷山娃一怔却也灵机一动立马仰起头双手拢在嘴边朝楼上大喊：“爸爸爸——有人找——那人一听朝山娃尴尬地笑笑悻悻地走了山娃立马“嘭的一声将铁门锁死心却咚咚地乱跳当山娃跟父亲说起这事时父亲很吃惊抚摸着山娃的头说还好醒得及时要不家早被人掏空了到时连电视也没得看啰不过父亲还是夸山娃能临危不乱随机应变有胆有谋山娃笑笑说那都是书上学的看童话和小说时多
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
by
Timothy Spann
Principal Developer Advocate
https://budapestdata.hu/2024/en/
https://budapestml.hu/2024/en/
tim.spann@zilliz.com
https://www.linkedin.com/in/timothyspann/
https://x.com/paasdev
https://github.com/tspannhw
https://www.youtube.com/@flank-stack
milvus
vector database
gen ai
generative ai
deep learning
machine learning
apache nifi
apache pulsar
apache kafka
apache flink
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
End-to-end pipeline agility - Berlin Buzzwords 2024
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
一比一原版(Chester毕业证书)切斯特大学毕业证如何办理
毕业原版【微信:41543339】【(Chester毕业证书)切斯特大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
Experts live - Improving user adoption with AI
Bekijk de slides van onze sessie Enhancing Modern Workplace Efficiency op Experts Live 2024.
The Ipsos - AI - Monitor 2024 Report.pdf
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
Intelligence supported media monitoring in veterinary medicine
Media monitoring in veterinary medicien
一比一原版(Glasgow毕业证书)格拉斯哥大学毕业证如何办理
毕业原版【微信:41543339】【(Glasgow毕业证书)格拉斯哥大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Analysis insight about a Flyball dog competition team's performance
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
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4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
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Intelligence supported media monitoring in veterinary medicine
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Analysis insight about a Flyball dog competition team's performance
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Data to make hit tv show
- 2. Reality TV is the new mantra of television producers and channel executives. The comments from the viewer will be extracted along with the viewer details such as gender, location, etc…The comments will be gathered from various sources and the entry will be maintained into the excel sheet.
- 3. The excel file will contain peoples name, email id, age, gender, location and comment. Based on people’s comment and sentiments, the TV Show popularity will be rated accordingly.
- 5. How do they choose what shows to create? Well, it depends on the company. Amazon studios begins by evaluating a whole bunch of ideas.Amazon Studios analyse where viewers pause videos, where they skip parts, and whether they watch any parts over again. When combined, this data is what the company goes by when choosing what show to make a complete season of.
- 6. Netflix uses data that they already have. “They looked at all the data they already had about Netflix viewers, you know, the ratings they give their shows, the viewing histories, what shows people like, and so on
- 8. In 2006 Netflix announced the Netflix Prize, a competition for creating an algorithm that would “substantially improve the accuracy of predictions about how much someone is going to enjoy a movie based on their movie preferences
- 9. The reality is that Netflix is a data-driven company. Saying that Netflix chooses new content based on “whoever they can get a license with” is a very thin and vague statement. Netflix does need licenses from studios, but they don’t just pick movies and television shows at random.
- 10. Netflix has 117.58 million worldwide streaming customers. Having this large user base allows Netflix to gather a tremendous amount of data. With this data, Netflix can make better decisions and ultimately make users happier with their service.
- 11. As part of the on-boarding process, Netflix asks new users to rate their interest in movie genres and rate any movies they’ve already seen. Why do they do this right up front? Because helping users discover new movies and TV shows they’ll enjoy is integral to Netflix’s success.
- 13. By now, you probably can guess that Netflix doesn’t blindly pick which movies to stream. Licensing movies from studios is expensive, so Netflix uses data to help them decide. There are only a limited number of movies to license. For example, a popular new release may not be available immediately, but a year later it might be. There is a vast number of movies available for Netflix to pick from, just not every movie available. So Netflix has to find which ones its users will enjoy the most.
- 14. In Conclusion… Now you see how Netflix makes informed decisions based on data. Clearly, data cannot make every decision; there are some situations where intuition has to take over.In these cases, decisions are heavily based on the people and team behind the idea of the show. Whether Netflix can make a successful show like this is yet to be seen.