PeopleMetrics

JANUARY 28, 2016

For all its promise, and all its hype, big data has always had one inherent problem. You see, big data is. And when you're facing something big, you may find it overwhelming. Here are three best practices to help you turn big data into action. But let's not forget they’re bricks!

Big data 83

Big data Feedback Benchmark Customer centricity 83

Global Response

MARCH 27, 2024

Call centers are increasingly turning to big data analytics as a pivotal tool for optimization. By harnessing the power of vast data sets, businesses can uncover deep insight into customer behavior, preferences, and trends, enabling them to tailor their services for maximum impact. Let’s take a look.

Big data 62

Big data Call Center Analytics Interactive Voice Response 62

ShepHyken

AUGUST 4, 2017

Companies are swimming in customer data and often have the tools to understand that data. However, Kristen Engelhardt, Vice President, Voice of the Customer, Salesforce questions that “data without the story behind it is just numbers. How will organizations drive an effective experience…?”.

Big data 189

Big data Customer Experience Personalization Technology 189

Avaya

DECEMBER 6, 2016

Whether you realize it or not, big data is at the heart of practically everything we do today. Billboard companies, for example, are now leveraging eye tracking and traffic pattern analysis to gauge interest among drivers. In today’s smart, digital world, big data has opened the floodgates to never-before-seen possibilities.

Big data 66

Big data Customer Experience Analytics Self service 66

AWS Machine Learning

NOVEMBER 12, 2024

In this blog post, we demonstrate prompt engineering techniques to generate accurate and relevant analysis of tabular data using industry-specific language. This is done by providing large language models (LLMs) in-context sample data with features and labels in the prompt. Here are some key observations: 1.

Engineering 93

Engineering Real estate Government Big data 93

CSM Magazine

DECEMBER 4, 2023

Through advanced econometric analysis, we aim to illuminate the deep connection between ESG initiatives and Corporate Financial Performance (CFP). Furthermore, the integration of digital technologies, including artificial intelligence, blockchain, and big data, augments these ESG capabilities.

Government 105

Government Morale Finance industry standards 105

Beyond Philosophy

AUGUST 15, 2019

We were happy to note that some organizations perform a “sentiment analysis” that picks up on trends in customer emotions. Peppers also thinks this is promising because it opens the doors to contact center analysis for observational data. I agree that VOC data can be subjective and unreliable.

Metrics 312

Metrics Finance Surveys Consulting 312

ShepHyken

NOVEMBER 29, 2019

The mobile app experience seamlessly integrates with pioneering technologies like artificial intelligence, augmented and virtual reality and big data analytics to offer engaging experiences. A better understanding of the customer with predictive analysis using AI and BigData.

Technology 269

Technology Customer Experience Complaint resolution Gamification 269

CSM Magazine

JUNE 20, 2024

Big Data and Its Impact on Live Betting Big data is one form of technology that bookmakers have used for as long as it’s been available. Of course, technology has significantly improved the way that big data analysis is conducted, which has allowed the live betting niche to continue to grow and push forward.

Big data 52

Big data Technology Personalization Accountability 52

ShepHyken

SEPTEMBER 15, 2017

Artificial intelligence marketing (AIM) is an innovative way for marketers to bridge the gap between data science and execution. But, that data is necessary to guide strategy. The data and analysis provided by AIM also creates a continual feedback loop, allowing marketers to refine and revise their content as needed.

Marketing 523

Marketing Advertising Big data Personalization 523

Beyond Philosophy

JULY 4, 2016

I’m capitalizing the first letter of each word because the pervasiveness of digital transformation has all the feel of Big Data a few years ago and Reeingineering in the 1990’s. Much of the digital transformation emphasis has been on technology (big data analytics and cloud, mobile apps, etc.)

Banking 225

Banking Customer centricity Big data Finance 225

TechSee

OCTOBER 31, 2018

This data is culled from devices, networks, mobile applications, geolocations, detailed customer profiles, services usage and billing data. In the short-term, network automation and intelligence will enable better root cause analysis and prediction of issues. With Gartner forecasting that 20.4

Interactive Voice Response 100

Interactive Voice Response Telecommunications Chatbots Big data 100

C3Centricity

MAY 25, 2020

Technology is being blamed for disrupting businesses, but in most cases these companies have simply not adapted to this new data-rich world. If you're drowning in data, perhaps you have still not adapted to today's data-rich world. BigData #Analysis #Customer #CustomerUnderstanding Click To Tweet.

Technology 121

Technology Big data Analytics Personalization 121

C3Centricity

MARCH 15, 2018

A 2015 Capgemini and EMC study called “Big & Fast Data: The rise of Insight-Driven Business” showed that: 56% of the 1,000 senior decision makers surveyed claim that their investment in big data over the next three years will exceed past investment in information management.

Big data 124

Big data Analytics Personalization Entertainment 124

Hero Digital

FEBRUARY 20, 2020

In the past, you ran a predictive analysis on your customers to understand which ones are most likely to churn, and based on the results, you put in place retention strategies. Define and implement a data storage and hosting strategy. The companion to a data-layer-centric architecture is big data cloud storage.

Big data 52

Big data Analytics Enterprise Government 52

Beyond Philosophy

DECEMBER 23, 2015

Many are actively collecting Voice of Customer (VOC) data through surveys, feedback management, analytics and market research relating to customer retention, loyalty, brand equity and satisfaction. As a result, they are able to create enormous streams and bases of data – known, collectively, as “Big Data”.

Chief Customer Officer 250

Chief Customer Officer Enterprise Customer centricity Consulting 250

CSM Magazine

MAY 20, 2021

Fine-tuning this part of your customer experience is best achieved through the use of big data. Developing and properly deploying data sets will provide you with a clear path forward to inspire your customers and improve the terms of purchase. Using modern data.

Big data 52

Big data Customer retention Feedback Marketing 52

Beyond Philosophy

FEBRUARY 5, 2022

Big Data creates big problems. 10:15 Colin shares the importance of using the right lens to interpret data, and why that lens shouldn’t be the same one you used 20 years ago. 15:04 Stuart explains how the data pyramid works for transforming data into wisdom, from the bottom (data) to the top (wisdom).

Customer Experience 39

Customer Experience Consulting Consulting Big data 39

Callminer

NOVEMBER 6, 2019

Big data is getting bigger with each passing year, but making sense of trends hidden deep in the heap of 1s and 0s is more confounding than ever. As metrics pile up, you may find yourself wondering which data points matter and in what ways they relate to your business’s interests. Beautiful data visuals drive sales.

Big data 140

Big data Analytics Metrics Sales 140

Beyond Philosophy

JUNE 11, 2015

However, like the hype around big data, enthusiasm for gamification has somewhat plateaued, and has needed to be rethought, especially regarding how it can drive more brand bonding and positive financial results. This gave gaming something of a Philosopher’s Stone, or magic wand, aura.

Gamification 265

Gamification Big data Personalization Feedback 265

AWS Machine Learning

FEBRUARY 18, 2025

In this post, we show you how F1 created a purpose-built root cause analysis (RCA) assistant to empower users such as operations engineers, software developers, and network engineers to troubleshoot issues, narrow down on the root cause, and significantly reduce the manual intervention required to fix recurrent issues during and after live events.

APIs 69

APIs Engineering Metrics Big data 69

Etech GS

JULY 31, 2019

As a bonus, it’s available indefinitely for future analysis and decision making. How Can Companies Use All This Data? Unstructured data: Unstructured data can be defined as “information, in many different forms, that doesn’t hew to conventional data models.” The Process of Using Big Data.

Big data 40

Big data Call Center Analytics Healthcare 40

Customer Interactions

DECEMBER 8, 2016

ICM applications must accommodate a wide variety of data from upstream systems, facilitate processing, and deliver results through multiple channels and formats in order to support activities such as territory management, quota setting, modeling, forecasting, commission calculation, and on-demand reporting and analysis.

Big data 47

Big data Sales Management 47

AWS Machine Learning

NOVEMBER 22, 2024

Data engineers contribute to the data lineage process by providing the necessary information and metadata about the data transformations they perform. Amazon DataZone plays a crucial role in maintaining data lineage information, enabling traceability and impact analysis of data transformations across the organization.

Government 85

Government Banking Accountability Engineering 85

Beyond Philosophy

JULY 5, 2016

Most companies collect small and big data to do more targeted marketing selling, and use metrics like customer satisfaction, indices, NPS and/or CES to reward or punish employees. Create human emotions and memories in transactions and relationships. The Four Principles of CX Design. Republished with permission from CustomerThink.com.

Customer Experience 210

Customer Experience Engineering Customer centricity B2C 210

Fonolo

OCTOBER 8, 2019

Big data is now used to address an increasing variety of business problems, from product launches to fraud and compliance. As retail contact center leaders gear up for the busiest time of the year, big data may be the last thing on their minds. Achieving this data-centric approach to CX may sound quixotic.

Big data 92

Big data Call Center Call Logging Contact Center 92

Callminer

SEPTEMBER 14, 2020

Bottom Line: The optimal role of a business analyst in call center operations is to improve the customer service experience by optimizing operations through trend and data analysis and identifying and implementing strategies based on the data to improve efficiencies within the call center. Andrew Tillery. MAPCommInc.

Call Center 182

Call Center Analytics First call resolution Metrics 182

C3Centricity

AUGUST 17, 2020

However, an analysis run by IBM on research carried out in the UK last year by the Callcredit Information Group gives a different reason. They found that the majority of marketers is feeling overwhelmed by all this data. It saddens me that despite the constant flow of data into companies they still lack insights into their customers.

Customer centricity 118

Customer centricity Airlines Big data Marketing 118

The Northridge Group

MARCH 28, 2022

Northridge employed a three-pronged approach to the analysis: Advanced data analytics – Using advanced data analytics and business intelligence tools, we integrated IVR data, call details and claims information across a multi-month timeframe. The data was loaded, cleaned, transformed, and analyzed using SQL tables.

Healthcare 128

Healthcare Analytics Contact Center First call resolution 128

AWS Machine Learning

FEBRUARY 10, 2025

It provides critical insights on performance, risk exposures, and credit policy alignment, enabling informed commercial decisions without requiring in-depth analysis skills. Hendra Suryanto is the Chief Data Scientist at RDC with more than 20 years of experience in data science, big data, and business intelligence.

Chief Customer Officer 83

Chief Customer Officer Banking SaaS Engineering 83

Talkdesk

MAY 19, 2015

Oxford defines “big data” as “extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions.” Big data is of special interest to businesses that wish to gauge their consumers’ preferences and ideas regarding customer service.

Big data 40

Big data Call Center call center software Customer Service 40

TechSee

NOVEMBER 20, 2018

Datameer ’s Big Data analytics platform helps enterprises build accurate, descriptive data models that combine large volumes of data, such as call center data logs and truck roll work orders, with other datasets, such as HR data on call center agents and field technicians, to better understand the barriers to truck roll optimization.

Technology 153

Technology Analytics Enterprise Call Center 153

Clarabridge

FEBRUARY 14, 2017

Root cause analysis means looking at all your data to find out what is really causing the problems that your customers are experiencing. Then, they used text analytics to review data from the maintenance logs of those planes. Because of this root cause analysis, the engineering team redesigned the headrest fastening system.

Metrics 53

Metrics Engineering Analytics Feedback 53

AWS Machine Learning

FEBRUARY 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text summarization, and sentiment analysis. He helps customers implement big data and analytics solutions. The function sends that information to CloudWatch metrics.

Metrics 123

Metrics Big data Analytics Engineering 123

Callminer

SEPTEMBER 1, 2020

Later on, breakout sessions led by customers, Avadyne Health , Gant Travel , and more offered some powerful case studies including an analysis from Direct Dialog’s Marvie Wright on how speech analytics helped their virtual workforce yield 10% more revenue. The show goes on.

Entertainment 182

Entertainment Contact Center Analytics Customer Service 182

Peter Lavers

FEBRUARY 11, 2015

Some people suggest that Customer Insight is making use of your data , with the current buzzword being “ big data”. But it is possible to be drowning in data and still none the wiser about your customers. Real growth however, it appears, happens when you use these parts together.

Analytics 113

Analytics Big data Coaching Marketing 113

Peter Lavers

NOVEMBER 26, 2015

This recent fascination with “ big data ” or “ predictive analytics ” or “ data scientists ” is also worryingly reminiscent of what happened during the CRM ‘bubble’. Planning your Analysis (using a 9 step model to plan for successful delivery).

CRM 100

CRM Consulting Consulting Big data 100