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Details are here , and I’ll be joined by Heather Barrow of Eventus , as she shares highlights from her recent whitepaper about this topic – it’s quite good, and you should give it a read. Telephony was still largely analog and call recording capabilities were limited, so there wasn’t much in the way of metrics.
Back in 1997, Michael Cox and David Ellsworth first coined the term “bigdata” as we understand the term today. For Cox and Ellsworth, “bigdata” names the challenge of visualizing extremely large amounts of computer data that (in those days) exceeded the capacities of local systems. Numbers Aren’t the Whole Story.
Go beyond the standard call center metrics! Technology has made it simple to track customer preferences, and bigdata provides trends and insights. Organizations that use this data properly can give their customers a better and more personalized experience, outshining the competition. 1) Rethink Your Channels.
For more information on the importance of analytics in retaining top call center talent, take a look at our whitepaper, Understanding How Interaction Analytics Can Reduce Agent Attrition. Make all your call center’s metrics a part of your scheduling process. Track measurable tasks for better insight into staffing needs.
They serve as a bridge between IT and other business functions, making data-driven recommendations that meet business requirements and improve processes while optimizing costs. Learn more about how speech analytics can benefit your call center operation by downloading our whitepaper, 10 Ways Speech Analytics Empowers the Entire Enterprise.
One of the most confounding challenges for modern contact center leaders is reporting on any performance metric that requires information from more than one system or application, each of which is a self-contained silo of data. Historic data. The birth of BigData. Contact center reporting technology of the future.
One of the most confounding challenges for modern contact center leaders is reporting on any performance metric that requires information from more than one system or application, each of which is a self-contained silo of data. Historic data. The birth of BigData. Contact center reporting technology of the future.
One of the most confounding challenges for modern contact center leaders is reporting on any performance metric that requires information from more than one system or application, each of which is a self-contained silo of data. Historic data. The birth of BigData. Contact center reporting technology of the future.
Whenever a new iteration of the AI tool is released, remember to monitor key metrics that reflect and reinforce your original goals such as ‘What % of users engage with the assistant?’, ‘What are the most popular topics?’ How many visitors request transfer to a live agent?’ Your pathway to AI success starts with this 5-step checklist.
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Back then, Artificial Intelligence, APIs, Robotic Process Automation (RPA), and even "BigData" weren't things yet. There are also drill-down reports that promise to let your managers slice and dice their data anyway they choose. Rewind it Back Let's take a look back to 2005 when "Web 2.0" technologies were first emerging.
So I’ll talk to senior leaders, find out what they’re thinking about, and then I will give them articles and whitepapers and stuff that actually kind of, it repeats back what they’re saying, but I just kind of add the gloss to it. .
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