Understand visitor behavior, track gaming patterns, targeted marketing promotions...
The emergence of social media and online gaming has probably driven the requirement and use of Big Data more than any other industry. Big Data was born in companies like Google, Yahoo and Facebook and is now the standard data platform in hundreds of companies that have followed. Whether it is the latest social networking hit, the hottest online gaming site or the emerging leader in online product offers, the "new media" segment have pushed the limits of traditional BI solutions to the breaking point.
It's all about the data in this group of industries as the nature of how users, subscribers, members and customers interact with these companies changes forever the notion of commercial transactions. While traditional BI solutions were equipped to access and analyze customer transactions, transactions have given way to interactions, with a website, a game, an auction or one another. To make sense of all of this interaction is made challenging by the massive volume of data from websites, machine logs, web servers and social networking engines like Twitter and Facebook. To add to the data volume challenge, this data is complex in nature, comprised of structured, semi-structured and unstructured formats and must be correlated across all interactions to understand the full sense of user and customer behavior.
Traditional BI solutions have simply not kept pace with the scalability requirements of this rapidly growing business segment. While some systems have improved their ability to address larger volumes of data with very specialized hardware and customized databases, these are very expensive to purchase and maintain and cannot keep pace with the growing data volumes. Likewise, the historical focus on transaction analysis drove development of these systems on common SQL based database engines designed to access and analyze structured data. However, they do not address the integration and analysis of semi-structured and/or unstructured data.
Datameer leverages the power, flexibility and cost effectiveness of Hadoop to bring Big Data analytics to New Media. New Media companies in online gaming and online event management are already using Datameer for operations and customers analytics.
"Hadoop promises to become a ubiquitous framework for large scale business intelligence, but right now it is difficult for many developers to use. I see tremendous value in Datameer's approach - making Hadoop accessible to more users who need scalable analytic power for their organization's big data requirements."
Shawn Rogers,
Vice President Research, Business Intelligence, Enterprise Management Associates
