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Ever wondered what new content is launching on any given day? If so, check out our proprietary Content Calendar! It outlines every single piece of new content premiering over the coming weeks/months - essentially a full cross media 'release schedule' to facilitate marketing, windowing, and more (or if like me you're also curious to know what to watch personally)!

Excited to share my Power Bi Dashboard! Delve into the world of entertainment analytics with this insightful Power BI dashboard, showcasing a detailed breakdown of TV shows and movies on Amazon Prime Video. This dashboard offers a deep dive into content ratings, types, and global availability, providing a clear picture of viewer preferences and content diversity. Key features include: - *Content Ratings Analysis*: A bar graph highlights the distribution of shows across various age-appropriate ratings, offering a glimpse into the content mix catering to different audience segments. - *Type Distribution*: A pie chart contrasts the proportion of movies versus TV shows, revealing the platform's content strategy. - *Geographical Insights*: A world map visualizes the availability of content across different regions, emphasizing Amazon Prime Video's global reach. - *Release Year Trends*: An area chart tracks the growth of content over time, segmented by release year and type, illustrating the evolution of the platform's library.

"With so much content available, Netflix needed a method to keep viewers engaged. By leveraging sophisticated data analysis and machine learning techniques to examine viewing patterns, search histories, and rating data, Netflix revolutionized viewer engagement through personalized recommendations. Learn how data analytics can transform your business too. Register now for our upcoming training session and unlock the power of data-driven decision-making!" https://lnkd.in/gJNCa6tk #everyone #dataanalytics #dataanalysis #data #visualization

Hey connections, Sharing an interactive Power BI Dashboard of Netflix!✨ Leveraging data from kaggle, I crafted a visually insightful dashboard that brings Netflix's performance to life through various charts and graphs.📊📈 Key Features: - Genre by Total Titles: Dive into the diverse world of genres and see how they stack up in terms of total titles. - Ratings by Total Titles: Explore how user ratings correlate with the number of titles in various rating categories. - TV Shows and Movies Distribution: Get a visual breakdown of Netflix's extensive library by distinguishing between TV shows and movies. - Total Movies & TV Shows by Release Year: Discover how the content landscape has evolved over the years with an area chart showcasing release year trends. Key project Learnings - -Data Cleaning -Data Processing -Data Visualization -Use of KPIs, Donut Chart, Clustered bar chart, slicers, Filters, Clustered Column Charts etc. #dataanalytics #netflix #powerbidashboard #powerbiservice

Navigating the vast content library of Amazon Prime Video, with over 15,000 movies and TV shows, can be a daunting task 💻 . I prepared a comprehensive Tableau dashboard 📊 that leverages a comprehensive dataset encompassing details of all available content, including cast, directors, ratings, release year, and duration and many other interesting insights. 🔗 Checkout my Dashboard here: https://lnkd.in/eeB3tHAw 🔗 Checkout my Project: https://lnkd.in/e8kPU5ms 🔗 Kaggle Data set Link: https://lnkd.in/eKdBNEcY #tableaupublic #datavisualization #dataanalytics

🎬 Excited to share my latest Power BI dashboard on Amazon Prime Video! 🚀 🌐 Global Dominance: Witness the reach of Prime Video with a captivating map showcasing total sales worldwide. Explore its impact across borders and continents. 📊 Unveiling Content Trends: Dynamic charts reveal diverse content preferences across regions. Discover the popularity of movies and TV shows by genre, uncovering hidden trends. 🔍 Deep Dives: Dive into detailed insights on top titles, including directorial choices, cast favorites, and release year preferences. Explore ratings and preferred content duration for a comprehensive understanding. 🚀 Interactive Dashboard Tour: Check it on Github: https://lnkd.in/dF6bbJuX Objectives: To show the growth of Amazon Prime video industry form the year 1920 to 2021 in TV shows and Movies by their appropriate ratings. Excited to share this data-driven exploration! 🚀 #PowerBI #AmazonPrimeInsights #DataAnalysis #CinematicDashboard

Have you ever wondered how Uber calculates trip prices? How Netflix accurately predicts which movie to recommend for your evening? Or why Google displays these specific websites in your search results? Mostly they work on the basis of #DataScience — an area of research that includes various aspects of #statistics, #MachineLearning, #analytics, and #FinancialPlanning. Actually, Data Science in #FinancialServices is exactly the topic we would like to explore in this article👇 https://lnkd.in/ducD5tJj

🔵 Big data is your night vision - revealing hidden opportunities and challenges to optimize your digital transformation journey. 🔵 Before big data, Netflix offered a decent online movie rental service, but nothing fancy (i.e., recommendations were limited). With the explosion of user data (viewing habits, ratings, search history), Netflix transformed into a recommendation powerhouse. Their big data analytics engine analyzes massive amounts of data to create personalized recommendations for each user. This has led to: ▶ Increased User Engagement: People are more likely to watch something they're genuinely interested in, leading to higher user satisfaction and retention. ▶ Content Creation: By analyzing viewing trends, Netflix can identify genres and themes users crave, informing content acquisition and even in-house production of original shows. ▶ Operational Efficiency: Big data helps optimize content delivery based on user location and viewing habits, ensuring smooth streaming experiences. 🔵 This is just one example, but it showcases how big data can be a game-changer in digital transformation, leading to a more customer-centric, data-driven, and ultimately, successful business. 🔵 Have you imagined how #bigdata can transform you personal and business endeavors yet? #digitaltransformation #bigdata #datainsights #thinkingNoble #bigdatarevolution

As the curtain closes on 2023, I couldn't resist one last data adventure before hibernation mode sets in. This time, I tackled the global phenomenon that is Netflix, using none other than the tested and trusted Microsoft Excel! My mission? To create a data dashboard that sheds light on the Netflix userbase. I grabbed a publicly available dataset, rolled up my sleeves, and dived into the world of pivots, charts, and conditional formatting. My dashboard wasn't just a collection of graphs and charts; it was a visual narrative about the Netflix userbase. By using conditional formatting and interactive elements, I created a dynamic tool that anyone, from data enthusiasts to casual Netflix fans, could explore and gain insights. This project was a fantastic reminder that even with a simple tool like Excel (trust me, it's not simple at all), you can uncover fascinating stories from data So, as we raise a toast to the end of the year, I want to share this one last dashboard with you. Cheers to the end of the year! P.S. If you're interested in exploring other dashboards I've created, kindly check out my portfolio: https://lnkd.in/dafryw6n

I recently created a Microsoft Power BI dashboard analyzing Amazon Prime's extensive collection of movies and TV shows. This interactive dashboard offers valuable insights into the platform's content library, including: 📅 Release year trends: Discover how the number of releases has evolved over the years. 🌟 Ratings and reviews: Analyze user ratings to find the most and least popular titles. 🎭 Genre distribution: Explore the diversity of genres available on Amazon Prime. 🌍 Country of origin: See which countries contribute the most content. 📈 Streaming trends: Understand viewer preferences and watch patterns. Creating this dashboard was a fantastic opportunity to dive deep into data visualization and analytics, and I'm thrilled with the results. Check out the snapshot below and let me know what you think! #DataAnalytics #PowerBI #AmazonPrime #Movies #TVShows #DataVisualization #DataScience #Analytics