Customer Experience Matrix

JUNE 22, 2015

As the Tealium diagram implicitly indicates, a pure tag manager doesn’t need to permanently store much data. the system tracks individuals. The “i” in “iDMP” stands for individual, which pretty much says it all.

Predictive Analytics 106

Predictive Analytics Structured Data Start-ups CRM 106

Lumoa

JANUARY 8, 2024

To remind you a bit of what it is and what it does, text analytics uses transforms unstructured text into structured data that’s actually useful for business decisions. That’s where text analysis, or text mining, comes into play.

Sentiment Analysis 147

Sentiment Analysis Text Analytics ML Machine Learning 147

CSAT.AI

SEPTEMBER 25, 2017

The second challenge lies in whether it’s structured or unstructured data. Structured data is highly organized and readily searchable within a relational database, like a CRM. Unstructured data doesn’t often live in a database, but in a silo without any organizational structure to it.

Artificial Intelligence 59

Artificial Intelligence Predictive Analytics Unstructured Data Sentiment Analysis 59

Customer Experience Matrix

SEPTEMBER 6, 2018

But it does mean that the vendors may be able to meet CDP data requirements, even if you need more than their MDM module to do it. Another likely differentiator is that MDM systems run on SQL databases and work with structured data. This is the best way to manage standardized entity attributes.

Unstructured Data 79

Unstructured Data Structured Data Government Start-ups 79

Customer Experience Matrix

AUGUST 30, 2012

Ad hoc reports against the HBase data isn't available yet but is due before the end of 2012. Longer term, I suspect HBase will make it easier to add custom objects and to deal with unstructured and semi-structured data such as Web logs and text comments.

Social Media 84

Social Media Structured Data Engineering CRM 84

Execs In The Know

APRIL 12, 2024

Summaries + Transcription: A Foundation of Intelligence Taking your AI journey seriously involves more than just implementing isolated solutions; it requires building a structured, data-driven foundation. By structuring data from the get-go, you ensure that subsequent AI solutions have a solid base to build upon.

AI 52

AI Contact Center Structured Data Artificial Intelligence 52

Customer Experience Matrix

SEPTEMBER 21, 2012

I also saw broader use of Hadoop to handle all this new data: as you probably know, Hadoop effectively handles large volumes of unstructured and semi-structured data, so it’s a key enabling technology for data expansion.

Structured Data 82

Structured Data Social Media Technology Technology 82

Execs In The Know

MARCH 14, 2025

AI can accelerate problem-solving, but only if you structure data and processes the right way. Heres what sets this certification program apart: Use AI to create experiences that feel personal, not robotic. Learn how to leverage AI without losing the human touch. Shorten the gap between ideas and execution.

AI 52

AI CX Structured Data Innovation 52

Comm100

SEPTEMBER 12, 2023

In a world where the stakes are high, and the challenges are many, SEM provides a structured, data-driven, and holistic approach to ensure that colleges and universities can thrive in both the short and long term. Wrap-up Strategic Enrollment Management is a crucial tool in the arsenal of modern higher education institutions.

Education 73

Education Structured Data 73

Customer Experience Matrix

JUNE 7, 2007

Of course, I was coming at it from the opposite direction, specifically suggesting that data matching technologies would help to improve searches of unstructured data. The article is suggesting that a search application (Semantic Web) would help to integrate structured data.

Unstructured Data 48

Unstructured Data Structured Data Technology Technology 48

Zendesk

FEBRUARY 10, 2022

Set up tools for collecting customer data. Evaluate both structured and unstructured data to develop a comprehensive understanding of your customers and their interactions with your brand. Structured data is quantitative information such as names, geolocations, and credit card transactions.

Customer Experience 98

Customer Experience Unstructured Data Customer Journey Map Net Promoter Score 98

Confirmit

JUNE 6, 2018

It is tightly integrated with Confirmit Horizons, our comprehensive, multichannel Voice of the Customer (VoC), Voice of the Employee (VoE), and Market Research platform, so you can easily combine structured data from surveys with the depth of insight and unprecedented level of detail available only in open-ended feedback.

VOE 40

VOE Text Analytics Structured Data Voice of the Employee 40

Customer Experience Matrix

MAY 9, 2024

This shows more clearly the distinction between common data warehouse functions, which are rarely gaps (such as loading structured data) and CDP-specific functions (such as connections to advertising media, anonymous-to-known profile conversations, and end-user data access).

Structured Data 62

Structured Data 62

Customer Experience Matrix

FEBRUARY 21, 2012

The Web has created new demands to handle unprecedented data volumes and semi-structured data. The result has been an explosion of companies using new techniques for managing and analyzing huge data volumes. These are exciting times in the world of analytical systems.

Unstructured Data 69

Unstructured Data Structured Data Start-ups Technology 69

VOZIQ

FEBRUARY 25, 2022

Structured Data Over-reliance. Organizations using traditional models rely on structured data – e.g., subscription information, billing details, payment history, and FICO scores, to name a few -. However, structured data is transactional, quantitative, and fails to answer ‘why’ a customer might cancel.

Structured Data 40

Structured Data Unstructured Data ML Customer Retention 40

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

Totango

AUGUST 23, 2017

Organizations can use data to grow from low adoption, to high adoption, and finally to effective adoption. Currently, only 25% of benchmarked companies are using data analytics to predict churn, and only 13% to predict expansion opportunities.

Customer-Centric Organization 66

Customer-Centric Organization Structured Data Education Sales 66

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

Customer Experience Matrix

JUNE 28, 2010

Saffron generally relies on external systems to identify entities within source data, classify them into the specified categories, and report their associations to Saffron. Saffron can load structured data as well. Saffron runs on a 64 bit “soft appliance” that distributes its data over clusters of server drives.

Technology 67

Technology Technology Artificial Intelligence Structured Data 67

Customer Experience Matrix

AUGUST 18, 2018

Reality: It’s a reasonable simplification to describe a CDP as packaged software that builds a customer-centric Data Warehouse. But a Data Warehouse is almost always limited to highly structured data stored in a relational database.

Unstructured Data 76

Unstructured Data Structured Data Technology Technology 76

ProProfs

APRIL 25, 2019

The Internet is a technology that allows us to accumulate and structure data without any territorial limitations. Universities accumulated knowledge and attracted everyone who could dive into the system and contribute to the knowledge base later on. Even YouTube tutorials and lectures mark a breakthrough.

Education 75

Education Non-Profits Structured Data Manufacturing 75

PeopleMetrics

JULY 31, 2018

Unlike structured data, which are easy to display graphically or in tables, each piece of unstructured data is different—unique to each customer who took the time to provide it. The following is a unifying framework that gives examples that I hope will make this clear: Making Sense of Unstructured Feedback.

Text Analytics 79

Text Analytics VOC Unstructured Data CEM 79

SurveySensum

FEBRUARY 24, 2025

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. Both techniques transform raw text into structured data that can be analyzed for patterns and trends.

Sentiment Analysis 52

Sentiment Analysis Text Analytics Social Media Machine Learning 52

Customer Experience Matrix

NOVEMBER 24, 2016

The system is also powerful in being able to connect to nearly any type of data stream, including social, mobile, and Internet of Things devices as well as traditional structured data. I won't go into details of other Decision Hub components, but they’re equally advanced. million but incremental revenue was $362 million.

Predictive Analytics 54

Predictive Analytics Structured Data Engineering Sales 54

Customer Experience Matrix

FEBRUARY 23, 2007

The information might be in structured data such as a purchase record, or it might be something less structured such as an email message or Web page. Taking these together, I think most businesses capture enough experience data to build a detailed LTV model.

Customer Experience Management 48

Customer Experience Management Customer Experience Structured Data Compliance 48

CommBox

JUNE 4, 2024

Businesses need high-quality, precise, structured data—the cornerstone for accurate predictive modelling. Implementing AI-Enhanced Customer Support Centres The transition to an AI-enhanced customer support centre is a strategic journey.

Predictive Analytics 52

Predictive Analytics AI Artificial Intelligence Structured Data 52

Confirmit

DECEMBER 14, 2016

We’ll also look at the integration of unstructured and structured data to bring insights to life to inspire employees. How to motivate your team: The role of viral change in killing the “command and control” ethos, empowering and enabling everyone in the organization from the bottom up.

CX 40

CX Predictive Analytics Structured Data VOC 40

Gainsight

SEPTEMBER 5, 2021

That is why many companies are turning toward customer success platforms to provide the structure, data analytics, and other features they need to measure the performance of their channel partners in delivering for their customers. Why weave channel partner customer experience data into your customer success platform?

Scorecard 52

Scorecard Structured Data Start-ups Customer Feedback 52

Customer Experience Matrix

AUGUST 2, 2018

Arm seems a less likely CDP buyer than Salesforce but made clear their goal is to use Treasure Data o manage Internet of Things data. That’s an excellent fit for Treasure Data’s technology, which is very good at handling large volumes of semi-structured data.

Structured Data 48

Structured Data Technology Technology AI 48

Customer Experience Matrix

OCTOBER 8, 2007

Nearly all the proprietary marketing databases used some version of an inverted (now more commonly called “columnar”) database structure. In such a structure, data for each field (e.g., Customer Name) is physically stored in adjacent blocks on the hard drive, so it can be accessed with a single read.

Structured Data 48

Structured Data Technology Technology 48

VOZIQ

APRIL 21, 2022

This information includes customer data captured from contact center agent notes, surveys, emails, chats, and web forms. Traditional customer retention strategies only use structured data because it’s easier for their models to understand and be trained with.

Unstructured Data 52

Unstructured Data Contact Center Text Analytics Customer Retention 52

Lumoa

JANUARY 23, 2018

Text analytics includes a set of techniques that structure information arriving in text format— in this case, free text customer feedback. The purpose is to convert unstructured text into meaningful structured data to support business analysis and decision making. Topic analysis reveals topics that are most talked about.

Text Analytics 114

Text Analytics Sentiment Analysis NPS Net Promoter Score 114

DMG Consulting

OCTOBER 18, 2017

Currently, there are two categories of speech analytics vendors in the market: a large group of competitors who sell basic applications that focus on identifying key words and phrases, and a smaller set of feature-rich solution providers who offer extensive business intelligence platforms that provide enterprise-level data.

Contact Center 48

Contact Center Text Analytics Artificial Intelligence Machine Learning 48

Taylor Reach Group

SEPTEMBER 29, 2020

Third, your CRM should provide enhanced data reporting and retrieval through automated-surfacing of insights and an optimized data storage and retrieval structure. Data is useless unless you use it and there are so many companies today collecting boatloads of unused customer information.

Contact Center 85

Contact Center Artificial Intelligence CRM Net Promoter Score 85

Gainsight

APRIL 8, 2019

Data from Support tickets your customers have opened. Unstructured data. Semi-structured data. Data from documents shared between you and your customer. Structured data. Typical account data from your CRM. Log files that include a record of activity, such as email logs.

Technology 45

Technology Technology Structured Data Unstructured Data 45

Customer Experience Matrix

JUNE 17, 2019

Data warehouses are largely limited to structured data. Data lakes are not unified or easily accessible to non-technical users. Data Management Platforms are limited to summary data about mostly anonymous individuals. CRM and marketing automation systems don’t easily combine data from external sources.

Compliance 83

Compliance Engineering Start-ups Retail 83

DMG Consulting

FEBRUARY 25, 2019

Speech and text analytics provide essential input into the CJA process by capturing spoken and written conversations and converting them into structured data for analysis. Leading organizations are combining self-service with live agent support to pre-engineer effortless service experiences.

AI 48

AI Machine Learning Text Analytics Predictive Analytics 48