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Avaya Customer Happiness Index helps organizations to stay competitive and drive customer loyalty

<p><span style="background-color:white"><span style="font-family:&quot;Arial&quot;,&quot;sans-serif&quot;"><span style="color:#222222">The Avaya Happiness Index on Blockchain, which securely collects and automatically analyzes customer interaction data from multiple sources across all channels in real time, has been named a 2018 Award Finalist for the internationally-renowned Edison Awards.</span></span></span></p>

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Avaya Customer Happiness Index helps organizations to stay competitive and drive customer loyalty
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The Avaya Happiness Index on Blockchain, which securely collects and automatically analyzes customer interaction data from multiple sources across all channels in real time, has been named a 2018 Award Finalist for the internationally-renowned Edison Awards. The distinguished awards, inspired by Thomas Edison’s persistence and inventiveness, recognize innovation, creativity and ingenuity in the global economy.

 

By combining Blockchain architecture with automated data analysis, the Avaya Happiness Index on Blockchain solution delivers secure access to industry-wide, real-time competitive customer insights that organizations can use to stay competitive and drive customer loyalty. The Blockchain infrastructure securely collects and shares anonymous customer interaction data from a network of peers, while the real-time automated analysis of speech and text (chat, IM, email and SMS) interactions instantly identifies behaviours and trends, accelerating an organization’s ability to anticipate requirements and proactively respond to customer demands.

 

“Customers told us that traditional analyst research – which lags current market conditions – delays their ability to respond quickly to user trends,” said Ahmed Helmy, Director – Advance Solution Architects International Market (EMEA-APAC), Avaya. “Our solution automatically collects and analyzes customer interaction data, and shares it online in real time to provide timely insights into behaviours across a peer network, without exposing sensitive information.”