South by South West Interactive (SXSWi) provided a range of key takeaways around a variety of topics – so instead of one mega-post, I’ve split up what I’ve learned into a range of bite-sized blogs. Today’s focus is the central piece of any organisation – their data.

Organisations have always known data is important, but they are now finding that the data that they’ve stored can be utilised in a variety of ways to influence decisions – to benefit both businesses and customers. Below are three examples of organisations have implemented data strategies to extract more relevant data from their users.
Iceland’s Ministry of Ideas, a third party organisation that encouraged more innovative thinking into the country, scraped data from parliament member sites and speeches and then ran comparisons on the keywords with the keywords extracted from a workshop where everyday citizens described their vision of Iceland. Comparing this data meant that the Ministry of Ideas could establish which members of parliament would be the best fit for leading the country on aligned values.
Foursquare Release 3.0 (launched during SXSW) included their new ‘Explore’ functionality. This uses a combination of check-in data from the user, their friends and the wider community to identify new or popular locations that meet the user’s taste. This functionality is the start of a shift in focus for organisations – as recommendations should be based on the user not on the business that is spending the most money on advertising. This will help keep Foursquare and other platforms authentic and customer-centric; whilst also encouraging users to continue to share their data to improve the accuracy and relevancy of recommendations.
Finally, after the launch of Twitter’s native retweeting (RT) functionality, there was a big divide between users around whether it was the most appropriate way of sharing information. Twitter explained there was no way of being able to track which content was being shared and who the influencers on the network were because the old way of RT-ing meant that all tweets were being stored as text. By removing RTs from the text within a tweet, Twitter created a traceable way of measuring the spread of a message and can now use this as a metric for organisations to show them the level of impressions for promoted tweets.
Data is always going to be the central part of any business, but it’s important that it is analysed properly to ensure it can be leveraged correctly to provide the greatest value to an organisation.
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Data mining is cool and has lots of fantastic applications. We’ve really only started to touch the tip of the iceberg on this one. Right now recommenders seem to be all the rage, being used by companies like Netflix, Amazon, Google, Facebook and (recently) Foursquare. Particularly exciting (and terrifying) is the massive amount of data we are building up by simply interacting with others using various Social Media platforms. Something I find interesting is hunch which does product recommendations based on social media information and previous purchases. Right now it thinks I should be buying Web Design books and Buddy Cop movies (which is pretty accurate).
Applications of Data Mining seem to be quite varied and I can’t wait to see what people come up with in the future. Maybe we’ll start seeing recommended tweets pop up in to our timeline from people we don’t (yet) follow.
A company who does cool things with their data is OkCupid
Hunch is fantastic – I heard from @dochugo at SXSW who is the ‘Chief Scientist’ there. I agree with you that we’ve only touched the iceburg; and I think in most of these situations the organisations haven’t necessarily leveraged the most out of the data yet.
I think Foursquare is probably the closest though – as they were able to understand the underlying need for people to use their platform: people want to know where the popular places are so they can be there.
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