Calabrio White Paper: The Future of Contact Center Analytics
How Can New Analytics Tools Help You Leverage the Data Gathered Everyday in Your Contact Center?
In 1965, Intel founder Gordon Moore observed that technology advances would enable computing power to double every two years. “Moore’s Law” defined the acceleration of computing technology over the past 40 years, but there’s one thing Moore didn’t predict: all the ways those increasingly speedy processors would be used. With more devices, more users and more uses for computing technologies, data growth in the modern world easily outpaces Moore’s Law. Until now, this overwhelming, exponential data growth has kept the business world fixated on the need to capture all the data—and kept data analytics tools largely focused on telling the story of what has already happened.
But the future of data analytics looks very different. As integrated technologies make gathering and centralizing data and metadata faster and easier, analytics tools are shifting their focus beyond answering “What?” to answering, “What now?” and “What next?”
This conceptual guide breaks down the buzz words to give you a simplified, highly visual understanding of the three core technologies that are defining the future of analytics: machine learning (ML), artificial intelligence (AI) and predictive & prescriptive analytics.
Download the guide here
Email this article to a friend
You need to be logged in to use this feature.
Please log in here