ijgolding
OCTOBER 31, 2014
That is why I want to pose the question – 1914 or 2014: when was the best time to be a customer? For a customer there was only one predominant way to shop… one ‘channel’ That channel was the channel that in 2014 is continually in decline – Face to Face! Fast forward 100 years to 2014.
Callminer
JANUARY 18, 2021
Encourage agents to cheer up callers with more flexible scripting. “A 2014 survey suggested that 69% of customers feel that their call center experience improves when the customer service agent doesn’t sound as though they are reading from a script. Minimise language barriers with better hires.
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Customers That Stick
DECEMBER 15, 2014
VOLUME 37: November 2014. This series of phone calls in Documentation and The Tale of Four Phone Calls might seem like it could be a “mystery shopper” script, but it is a real-life demonstration of how documentation can be a key player in saving your customers time and hassle. Photo Credit: [link].
JustCall
NOVEMBER 24, 2022
And there are great movies like Good Will Hunting, Rocky, The Pursuit of Happiness, and the famous 2014 Oscar-nominated film Wolf of Wall Street with inspirational plots and protagonists who accomplish excellence despite being piled against tremendous odds. In modern times, movies generally serve as a powerful medium of inspiration.
AWS Machine Learning
JUNE 28, 2022
The input data is a multi-variate time series that includes hourly electricity consumption of 321 users from 2012–2014. The plotted training data and testing data are from 2014-05-19 20:00:00 to 2014-05-26 19:00:00, and from 2014-05-26 20:00:00 to 2014-05-27 02:00:00, respectively.
CX Journey
NOVEMBER 14, 2014
It appeared on their site on August 12, 2014. Science is the script. Art is going beyond the script and being human; it’s how you treat people. Perhaps we need the script simply as a guideline, but we allow employees to go beyond the script and do what’s right for the customer in the moment.
AWS Machine Learning
APRIL 5, 2024
Among these models, the spatial fixed effect model yielded the highest mean R-squared value, particularly for the timeframe spanning 2014 to 2020. The following example shows how a Python script is run on the processing job cluster. These forecasts aided in understanding future LST values and their trends.
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