Data is nothing without analytics to give it perspective.

Big Data has been the most significant idea to have infiltrated itself into every aspect of the business world over the last several years. Every company wants to say that they’re making data-driven decisions, have a data-driven culture, and use data tools that non-data people have probably never even heard of.

Get the top benefits of speech analytics for the call center and learn how speech analytics software can lead to customer experience improvement.

Speech analytics is one of the fastest growing segments of the call center technology market, according to analysts and experts. Speech analytics tools are appealing because allow companies to take action on unstructured data from customer interactions and gain rare insight about their customers.

What are text analytics and how can you use them?

Predictive algorithms are enabling the examination of huge amounts of text for useful patterns and trends, in a process that is known as ‘text analytics’. While analysis of structured information in Big Data is an easy way of discovering a wide variety of things about your business, text analytics can track far more nuanced insights. It can be used to find out how your customers feel about you and your product or service, and, often more importantly, why they feel that way.

How will big and better data help healthcare delivery and patient outcomes?

With the world’s population increasing and everyone living longer, healthcare costs continue to rise. But models of treatment delivery are rapidly changing, and many of the decisions behind those changes are being driven by data. This is helping to reduce costs.

Listening for the insights you need to hear

Modern consumers interact with their service providers in many more ways than in the past - email, social media, instant messaging, and much more - on average, almost six different channels in each customer relationship. And emerging technologies are creating even more interaction options.

What was hoped for in video analytics a decade ago might be finally coming true.

A maturation of the technology and vast improvements in overall reliability, effectiveness and accessibility has pushed analytics from the periphery to the market mainstream, while edge devices, their processing capabilities and steadily dropping price points indicate that this is a trend destined to continue.

Business Analytics have become vital for the growth and development of the companies1 of today. Large investments are being made in big data analytics to make better business decisions from past data. This past data is being generated by different sources such as business people, marketing, education, engineering, medicine, social media, on-line transactions, call centers, sensors, web logs and telecommunications.

At the annual Gartner Symposium/ITxpo in Orlando, Florida this week, over 8000 technology leaders gathered to get analyst predictions on where we are heading. Artificial intelligence, machine learning, and smart things were key analytics themes for a savvy digital future. The overall top three themes this year were intelligent, digital, and mesh.