LeWeb London: Real-Time Social Analytics In Action

4th June 2013 2 Comments

We’re excited to announce that DataSift and Tableau have teamed up with LeWeb to bring real-time social analytics to LeWeb London ’13, providing a unique insight into the global social conversations around Europe’s must-attend event for technology entrepreneurs and innovators.

Taking place on June 5th & 6th, this year’s LeWeb London brings together thousands of tech innovators to discuss the Social and Sharing Economy both as attendees and for people watching the live stream at www.youtube.com/leweb and engaging on social.

The combination of DataSift + Tableau allows us to aggregate global conversations around LeWeb, enrich the data to turn text into meaning, and then visualize and analyze the data using Tableau through the LeWeb London ’13 real-time social media dashboard.

Here are some of the things you can learn from tracking the analytics in real-time:

  • Most mentioned speaker: Which speaker gets the most positive (and negative) mentions?

  • Which websites, articles and other assets are being used to share content around the world about the conference?

  • Which startups generate the most excitement and attract the most new followers throughout the conference?

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Social Data + Business Data = Bigger Insights

As any data scientist knows, bigger insights come from integrating diverse data sources to look for trends within them. One of the unique capabilities that DataSift brings is the ability to add context to social data by integrating it with business data.

For LeWeb London, we’ve integrated the list of LeWeb participants into DataSift to add context around social conversations, enabling us to categorize conversations from attendees vs those engaging remotely.

We also integrated the list of speakers and companies in the startup competition so that we could easily focus analysis on these topics.

This enables companies to take social data out of its silo and integrate it with other business data for deeper insights. For example, using this approach we can see how the event experience rates for attendees vs people watching and commenting remotely.

How We Do This

To bring this data to life in Tableau, the key is to build a filter to find the relevant conversations across a variety of social networks. In addition to Twitter, with our new managed data sources we can aggregate and enrich the relevant content and conversations across Facebook Pages, Google+ and Instagram – proving a unique view into audience engagement across channels. We then deliver this data to Tableau through our Data Destinations capability in real-time.

To create an accurate stream of data, you need to do more than look for #LeWeb. We also tracked postings that were made by the the conference organizers, carried links to web pages with titles mentioning LeWeb or to the youtube channel, or mentioned any of the speakers. The CSDL can be viewed here: datasift.com/essence/pgymwg.

For this project we pushed the data to Google Big Query, which Tableau then queried to build the dashboards. We tested the solution in advance of the conference by sourcing data from LeWeb 2012 using DataSift Historics.

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Join Us For a Webinar on Building Your Social Insights with DataSift

Want to learn more? Get in touch or join us for an upcoming webinar where we’ll explore how you can use the DataSift platform to build insights spanning multiple social networks and leverage Tableau to analyze your social data and business data together.

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