VOZIQ

APRIL 21, 2022

Traditional customer retention strategies only use structured data because it’s easier for their models to understand and be trained with. While structured customer data can tell you how many customers may cancel, unstructured data can reveal your customers’ wants, needs, concerns, expectations, and reasons for potentially canceling.

Unstructured Data 52

Unstructured Data Contact Center Text Analytics Customer Retention 52

Intercom, Inc.

FEBRUARY 13, 2020

. “So we’ve seen companies who have basically re-centralized their data into cloud data warehouses, and that is the source of truth. It’s a system of record, and they’re marrying together both the unstructured data and the structured data to do really interesting marketing.”.

Unstructured Data 181

Unstructured Data Omnichannel Machine Learning Structured Data 181

Customer Experience Matrix

MARCH 3, 2019

Informatica lays out the contrast quite nicely: they characterize MDM as limited to highly governed, structured data that delivers the “best version of the truth” about master objects (customers, products, supplier, etc.), It illustrates the difference between MDM and CDP. This is one of those questions we still get fairly often.

Unstructured Data 82

Unstructured Data Machine Learning Artificial Intelligence Government 82

SurveySensum

FEBRUARY 24, 2025

Machine Learning Models : Training algorithms on labeled datasets to predict sentiment based on language patterns. Both Work With Unstructured Data : Both text and sentiment analysis deals with unstructured customer data and feedback, such as texts, emails, surveys, social media conversations, online reviews, etc.

Sentiment Analysis 52

Sentiment Analysis Text Analytics Social Media Machine Learning 52

Customer Experience Matrix

MARCH 3, 2017

The system can accept feeds from major advertising systems ( GoogleAdwords , Bing , Facebook Ads ), from Web analytics ( Google Analytics , Mixpanel ), and various data stores ( MySQL , Amazon Redshift and S3 , MongoDB , Apache Hive , etc.). CaliberMind has embedded a third-party data load and transformation tool to manage such inputs.

B2B 48

B2B Unstructured Data Machine Learning Structured Data 48

SurveySensum

MARCH 3, 2022

A VOC tool is software that allows you to collect feedback and generate in-depth analysis reports from unstructured data. The ultimate aim of using it is to derive insights, make data-driven business decisions, and create exceptional customer experiences. . in seconds using machine learning. Verint ForeSEE.

Voice of the Customer 52

Voice of the Customer VOC Sentiment Analysis Close the Loop 52

PeopleMetrics

JULY 31, 2018

The following is a unifying framework that gives examples that I hope will make this clear: Making Sense of Unstructured Feedback. The question then becomes this: how do we make sense out of these unstructured comments from customers? There are two options to handle unstructured feedback: humans or machines.

Text Analytics 79

Text Analytics VOC Unstructured Data CEM 79