Barclays Pronto helps identify clients’ sentiments

The Barclays Pronto aims to bring the voice of customers to the bank using algorithms. Absa Bank has created an ‘ensemble’ of machine learning techniques to identify sentiments and closely monitor social attitudes of clients. This is achieved through the Barclays Pronto, an internal social media pilot unveiled by Absa that aims to bring the voice of customers to the bank’s staff using the banks’ different social media platforms. According to Absa Bank, the data analytics platform uses the latest in big data and data science to monitor in real-time how customers react to products, launches and campaigns. This is done by allowing users to view and act on social media insights while identifying key influencers, mentions and sentiment shifts across brands, products, and channels. Yasaman Hadjibashi, chief data officer…


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