November 28, 2013 - Comments Off on Using Big Data to Measure Brand Performance
Using Big Data to Measure Brand Performance
I’m delighted to have been asked to talk about “Using Big Data to Measure Brand Performance” at the International Centre for Mathematical Sciences’ 2nd workshop on Social Media and Big Data taking place in Edinburgh today, the 28th November 2013.
The conference has brought together people in business, government and academia and has focused on the technical aspects of big data processing, algorithms and the use of high performance computing. A key focus has been how healthcare can benefit from the more efficient use of data and how social media can assist.
At Bloom, we’ve been using our social media intelligence tool, Whisper, to help organisations measure brand performance by analysing social data. During my talk today, I gave a number of real examples of where we’ve used Whisper to generate unique insight. For example, I talked briefly about how successful Yorkshire Tea’s #teaonthetrain event was. You can read the case study here.
We also explored how Whisper can analyse social data in real time by looking at the breaking news story following Arsenal and Northern Ireland legend Pat Rice’s admission to hospital. We showed how the conversation has evolved over the morning and who was influential in that conversation. Not surprisingly, the top five most influential accounts were @arsenal, @aaronramsey, @GilbertoSilva15, @chelseafc and @garylineker.
You can find the slides from my talk here: