Barry Strauss, Head of Marketing, Talksum
Last week, Talksum joined people from AT&T, Bank of America, eBay, and others at the Big Data Technology and Applications Meet-Up in Pleasanton, CA. The number of people looking for Big Data solutions surprised us. In other words, most of the people weren’t vendors; they were from real companies looking for real solutions!
There was a short presentation to kick off the meeting; however, the gist of the event consisted of socializing and gaining insights into what is needed in the Big Data arena. Here are a few insights taken from the Meet-Up and put into context.
Banks are really interested in using Big Data to understand their customers, what they like, which branches they use, whether they’re mobile users or PC users, causes of attrition rate, social information, and the like. In other words, banks are looking closely at customer relationships and how they’re doing, including sentiment and how to react to it. The problem they have stems from data acquisition, which consists of structured and semi-structured information. Past information silos are now breaking down, and data may include, for example, call information mixed with data from a branch office, etc. So, the banks are looking for ways to ingest different types of data, normalize, filter, and route it for better and more accurate customer analytics.
Carriers are feeling the pressure to make sense out of the massive and increasing amounts of data they already have in both their customer base and their networks and, as such, are looking for platforms, or tools, to help manage the huge collection of disparate information. The telecom operators want to better understand their customers and their respective behavior. To do so, they need “accurate” and filtered data processing for meaningful analytics solutions.
To media providers, Big Data platforms are critical to ingest unstructured data, which may consist of digitized text, video, machine, and other data that doesn’t fit easily into traditional databases. Media companies don’t want to spend too much time trying to access or manage the huge amounts of in-coming data; instead, they want to concentrate and focus on the end result and create strategies around that information to apply it to greater awareness, engagement, relevancy, advertising, sentiment, and social analytics. They want a simple way of ingesting data from multiple pools of edge devices, filtering duplicated data, and routing it to their analytics system.
All in all, this was an informative Meet-Up that was well represented by leading companies searching for Big Data solutions. For information about our solutions, visit Talksum Solutions for an overview. We are looking forward to attending the August Meet-Up not only as an attendee, but also as the presenter. More to follow in future posts.