Fueling Social Data Analytics for the Enterprise
Looking to incorporate social media data into your business intelligence solution?
Look no further. Gnip has access to all the social media data an enterprise needs, from Tweets and "Likes" to blog posts and comments. Gnip provides reliable, consistent, Terms of Service-compliant access to normalized streams of public social media data drawn from a huge variety of sources.
Social data is a new and incredibly exciting dataset that our customers are beginning to leverage within IBM InfoSphere BigInsights and other IBM products. Via the Plugged In To Gnip business partner program, we make it incredibly easy for them to access that social data.
It's Not Just for Marketing
When most people hear socia media, they think it's something for the marketing team. In fact, social media data can be used by almost every department and in almost every industry.
- Consumer Goods
It's the holiday shopping season and you sell the most popular toy on the market. How do you know where to send the remaining inventory you have? Filtered Twitter data from Gnip can help answer just that.
Your new product just debuted. Tracking realtime customer reactions is critical to customer satisfaction and ongoing product development. With Gnip, you've got instant reactions via sources like Twitter, as well as deeper consumer analysis via blogs and news stories.
- Service Industry
As a major hotel chain, brand awareness and customer experience are at the top of your strategic goals. With Gnip's streaming data, you can quickly determine what's being said about you and how that compares with competitor mentions.
From the Blog
Time-series volume measurements of social data generally show three distinct patterns for breaking events. These patterns can be related to the user's expectations of the event. The rate of spread and reach of a story also depends on the level of interest of the audience as well.
At Gnip, we talk about the social cocktail a lot—mainly because people like cocktails. But also, it is an apt metaphor for thinking about what social data is useful for our customers. What audiences and modes of conversation are needed to build out understanding your market, your customers, perceptions of your product and the evolution of your message?