Nowadays, mobile phones have a significant impact on our daily life. We use mobile phones for phone calls, messaging, social networking etc. This mobile phone is basically a powerful computing device that can run numerous programs (which we know as apps) simultaneously. Every day we use many mobile applications developed by different companies. But nowadays, by taking advantage of modern technology, we can easily build our own applications for mobile phones. And in this book, mobile application construction is shown by hand. The book is written for the reader who has no prior knowledge of mobile application development or programming, coding etc. So the book has been provided from the basics of mobile application building to the detailed ideas step by step. The whole book is project based; So, along with the theory, mobile application construction is shown in hand by building practical projects one after another. Also, the software and other digital tools required for building mobile applications are available for reader download on an online site associated with the book. Hopefully, using the book, the reader will be able to build mobile applications very easily, in less time.
How Streaming Services Use Big Data Analytics to Improve Customer Satisfaction: Lessons from Netflix
Introduction Every time you watch a movie, pause a show, skip an episode introduction, search for a title, or rate a series on a streaming platform, you are generating data. While these actions may seem insignificant individually, they collectively create valuable information that streaming companies use to understand customer behavior. In the modern digital economy, data has become one of the most valuable business assets. Streaming platforms such as Netflix, Disney+, Amazon Prime Video, Hulu, and Spotify rely heavily on data-driven decision-making to improve customer experiences, personalize content recommendations, and increase customer loyalty. Among these companies, Netflix is widely recognized as a pioneer in the use of big data analytics. The company analyzes billions of customer interactions to understand viewing preferences, predict future behavior, improve content recommendations, and make strategic business decisions. Rather than offering the same experience to e...
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