Callminer
DECEMBER 5, 2019
I predict that the brands that will deliver a better response to the swearing problem, by adding offensive language as a call centre KPI, will get a competitive advantage in 2020. Predictive Analytics Will Drive a Better Customer Experience. I believe that predictive analytics will drive a better customer experience in 2020.
CSAT.AI
SEPTEMBER 25, 2017
You should have all the standard data, such as customer location, age, email, title, etc…, but you should also be inquiring why customers are leaving when they leave. The second challenge lies in whether it’s structured or unstructured data. Analyze your data and data-gathering tools.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
SurveySensum
OCTOBER 29, 2024
Different Types of Contact Center Analytics There are different types of analysis that fall under the contact center analytics umbrella that can be applied to the customer center data and insights. Let’s understand each of them.
SugarCRM
JANUARY 11, 2024
Gain a Better Understanding of Your Audience Base Maybe the most significant advantage posed by generative AI is its vast potential to closely analyze and generate accurate insights into large volumes of unstructured data. Without similar technologies, this data can be time-consuming and expensive to process.
VOZIQ
OCTOBER 19, 2022
The intermediate stage involves automated and frequent data collection—both structured and unstructured data—from internal and external sources and analyzing processes offline. It focuses on detecting the underlying reasons that led to previous cancellations (i.e.,?why?customers customers canceled in the past).
VOZIQ
OCTOBER 19, 2022
The intermediate stage involves automated and frequent data collection—both structured and unstructured data—from internal and external sources and analyzing processes offline. It focuses on detecting the underlying reasons that led to previous cancellations (i.e.,?why?customers customers canceled in the past).
Lightico
FEBRUARY 11, 2024
IDP leverages and combines AI, Large Language Models (LLM) , OCR, and natural language processing (NLP) to seamlessly extract data from a diverse array of documents, ranging from scanned forms to digital submissions. All with our pre-training.
Expert insights. Personalized for you.
207 
Let's personalize your content