How to Stay Competitive and Connected with Customers by Leveraging Hadoop
The digital advertising world is evolving at a breakneck pace. By utilizing Hadoop to capture and analyze clickstream, transaction, video and social media data, digital advertisers are able to spot trends and patterns, unearth new relationships, and optimize their ad campaigns by adjusting campaign tactics in real time.
The entertainment industry is using Hadoop in a number of ways, with the connected consumer at its core. Hadoop is being used to increase revenues, understand real-time customer sentiment, increase marketing effectiveness, and increase ratings and viewership. As an example, video game development studios are turning to MapR to analyze massive data streams in order to enhance game player engagement and increase player retention, while music streaming services are providing completely personalized recommendations for their customers.
MapR customers in the Advertising, Media and Entertainment industries include:
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Advertising, Media, and Entertainment Use Cases
These industries are raising their game and relying on the MapR Converged Data Platform to provide functionality in the areas of recommendation engines, log ingestion/processing, social media sentiment aggregation, trend and behavior analysis, and more. Below are a few of the use cases that illustrate how big data and Hadoop are being integrated in the advertising, media and entertainment industries, providing companies with insights into both their products and their customers.
Improved ad targeting, analysis, forecasting and optimization
Hadoop allows digital advertisers to analyze the massive amount of personal data that consumers share, and offer those consumers more personalized and targeted ads for products and services they would use. Hadoop can also provide advertising companies with the ability to seamlessly run a real-time automated advertising platform.
Informed, always-connected consumers now expect greater personalization in terms of how products, services, and experiences are delivered to them.
Superior analytics capability
Hadoop can be used to analyze a variety of advertising activities, including ad placement and optimization, click-through rates, conversion rates, and keyword effectiveness.
Enhanced game player engagement
Gaming companies are always looking for new ways to increase player retention and monetization. By using advanced analytics to uncover player insights and common user characteristics, video game developers can now focus on creating much more meaningful gaming experiences for their customers.
Advertising, Media, and Entertainment Customers
Rubicon Project is an online advertising technology company that has developed software for automating the selling/purchasing of online ads. Rubicon Project performs over 100 billion real-time auctions on their global transaction platform per day, which translates to about 3.5 petabytes of data that needs to be managed and analyzed. To support their growing advertising platform, Rubicon Project needed to move to a more stable, fault-tolerant and mission-critical Hadoop production system. The company chose the MapR Converged Data Platform because of its enterprise-grade features, including high availability, data protection and data recoverability, disaster recovery, redundancy and support.
comScore, a company that provides syndicated and custom solutions in audience measurement, e-commerce, advertising, search, video and mobile, needed a reliable Hadoop platform that could keep up with their growing volume of data. comScore chose the MapR Converged Data Platform for its NFS, performance, and operational efficiency features. MapR is used to deliver insights about online consumer behavior, and it processes over 1.7 trillion Internet and mobile records every month.
Altitude Digital is one of the fastest growing video advertising technology companies in the world with a mission to build powerful video advertising technology .The MapR platform provides Altitude Digital with a centralized data repository that serves multiple departments, driving efficiency and competitive advantage. MapR provides a superior ecosystem, offering both innovative solutions and reliable support. Altitude Digital can cost-effectively leverage existing engineering resources and keep its developers focused on business solutions.
Beats, a company whose mission is to provide a superior end-to-end music experience with headphones, speakers, devices, and services, recently launched a music service called Beats Music. They were searching for an enterprise-grade Hadoop platform to build a new playlist recommendation engine. Beats Music chose the MapR Converged Data Platform due to its scalability, no single point of failure, and unbeatable performance. By using the MapR Converged Data Platform, Beats Music is able to provide a completely personalized service for their customers, drawing from over 20 million songs in their library.
Rocket Internet, the world's largest Internet incubator, has created over 100 market-leading companies in 50+ countries. Rocket Internet uses the MapR Converged Data Platform to deliver an enhanced analytics engine, which is used to better determine the impact of each marketing channel and each keyword on overall client business. The performance gains enable the company to better optimize marketing spend down to a single keyword.
Blizzard Entertainment, Inc., known for creating some of the industry’s most critically acclaimed video games, such as World of Warcraft®. Blizzard runs three triple-A games simultaneously, and needed to share resources among the games, but not the data. Blizzard turned to the MapR Converged Data Platform to provide them with the solution.
Dotomi creates and delivers display advertising where the ad creatives and media placements are dynamically adapted in real time at the user and impression level. Their cluster environment needed to be truly redundant with no single points of failure, and query response times had to be fast, especially for peak traﬃc scenarios. Dotomi uses the MapR Converged Data Platform to create a distributed, highly available and highly reliable data store that scales.