Callminer

APRIL 19, 2020

Big Data represents a major opportunity for companies to turn all this readily available data into business intelligence and transform decision making.

Analytics 207

Analytics Marketing Big data 207

Contact Center Pipeline

FEBRUARY 16, 2022

Big data analytics is about to explode, marking a watershed moment for contact centers. There has never been a greater need for data-driven insights as businesses prioritize revenue growth amid rapidly shifting customer expectations, severe staffing shortages, and rising contact volume.

Analytics 130

Analytics Contact Center Big data Technology 130

Aspect

AUGUST 26, 2019

There is information everywhere: in your ACD , WFM, CRM, quality management, recording, surveys, speech analytics and self-service systems. As new customer engagement channels become popular and better speech and text analytics tools come into use, we are faced with an inexorable rising tide of available information.

Big data 102

Big data Management Journey mapping Contact Center 102

Etech GS

JULY 31, 2019

Call centers generate data like no other department within a company. Data gleaned from internal processes such as hold times, how long it takes to resolve an issue, and the number of calls managed per shift provides valuable information for departmental and company management. How Can Companies Use All This Data?

Big data 40

Big data Call Center Analytics Healthcare 40

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. Utilizing new data. Driving up engagement.

Big data 52

Big data Customer retention Feedback Marketing 52

VocalCom

AUGUST 26, 2019

Big data has been a buzzword in the customer service industry for some time now. As every brand knows, all data—big and small—can be applied in some manner to drive sales and improve customer service. Here are five essential big data sources to look at—and how you can use them to create exceptional customer experiences.

Big data 48

Big data Customer Experience Abandon rate Contact center software 48

The Northridge Group

MAY 9, 2018

To make it worse, the pace of this information continues to increase; data (lots of it) is being produced more rapidly than ever before. How can you capture this data and use it to help you and your organization make informed decisions, and ideally to predict future behavior and events?

Big data 117

Big data Consulting Consulting Analytics 117

Ansafone

AUGUST 28, 2019

The post Using Big Data to Drive Customer-Intelligent Experiences appeared first on Ansafone Contact Centers. A lack of personalization makes customers feel like just a number rather than a valued member of your inner network. They have no hesitations in leaving you for the next best thing when it comes along.

Big data 48

Big data Contact Center Personalization Analytics 48

AWS Machine Learning

SEPTEMBER 9, 2022

However, as a new product in a new space for Amazon, Amp needed more relevant data to inform their decision-making process. Part 1 shows how data was collected and processed using the data and analytics platform, and Part 2 shows how the data was used to create show recommendations using Amazon SageMaker , a fully managed ML service.

Analytics 69

Analytics Engineering APIs Metrics 69

NobelBiz

FEBRUARY 22, 2023

Visiting a website, talking to customer service, chatting on social networks… When a consumer performs these actions, the company usually collects multiple data points. The data collected, measured, and analyzed for contact centers is an absolute gold mine. Table of Contents show What is Customer data analytics?

Analytics 52

Analytics Contact Center Call Center call center workforce 52

Spearline

FEBRUARY 8, 2022

With many millions of customer conversations happening each and every day, voice traffic is very much “big data”. This data offers insights to those who choose to look deeply. Voice analytics promises to measure customer emotion in each call. Voice analytics can also alert management to what is absent in a conversation.

Analytics 98

Analytics Telecommunications Big data Customer emotions 98

CX Advantage Walker

APRIL 11, 2018

Overview Thick Data provides insight into people’s emotions, motivations and ways of thinking. For our organizations to have a realistic view of the marketplace and our customers, CX leaders need to provide and advocate the use of Thick Data to supplement operational Big Data insights. Continue reading.

Analytics 76

Analytics Customer Experience Big data Customer centricity 76

AWS Machine Learning

NOVEMBER 29, 2023

Data preparation is a crucial step in any machine learning (ML) workflow, yet it often involves tedious and time-consuming tasks. Amazon SageMaker Canvas now supports comprehensive data preparation capabilities powered by Amazon SageMaker Data Wrangler. To import data from Snowflake, follow steps from Set up OAuth for Snowflake.

Engineering 101

Engineering Big data Customer centricity Education 101

AWS Machine Learning

FEBRUARY 15, 2024

With the use of cloud computing, big data and machine learning (ML) tools like Amazon Athena or Amazon SageMaker have become available and useable by anyone without much effort in creation and maintenance. This dilemma hampers the creation of efficient models that use data to generate business-relevant insights.

Metrics 91

Metrics Analytics APIs Big data 91

JivoChat

JANUARY 31, 2023

Data-driven decisions are essential in businesses to diminish the chances of errors, and online data analyst courses will teach you how to interpret data precisely. There is where data analysis comes in, you can use the data your company has, and key performance indicators (KPIs) to indicate what path you should follow.

Analytics 75

Analytics APIs Scripts Big data 75

Natalie Petouhof

JUNE 16, 2016

Enterprise resource planning (ERP) within the cloud is the engine utilizing data produced on the plant floor to power manufacturers. Cloud ERP gives manufacturers more precise and real-time data. Big data is popular amongst business intelligence and analytics applications. This change coming will be historic.

Big data 49

Big data Engineering Enterprise Analytics 49

AWS Machine Learning

NOVEMBER 27, 2023

However, these models require massive amounts of clean, structured training data to reach their full potential. Most real-world data exists in unstructured formats like PDFs, which requires preprocessing before it can be used effectively. According to IDC , unstructured data accounts for over 80% of all business data today.

Engineering 73

Engineering APIs Big data Accountability 73

LiveVox

MAY 24, 2021

We live in a world with an abundant supply of data. Data aggregation and mining are commonplace for many businesses. But the problem with big data is making sense of it. Call center analytics software makes it possible to make sense of the noise. It is a key driver of strategic decision-making.

Analytics 52

Analytics Big data Call Center 52

The Northridge Group

MARCH 21, 2022

Authored by Daniel Fenton , Director, Enterprise Accounts and Molly Clark , Senior Director, Operational Analytics. Leveraging data analytics to improve FCR rates is critical for achieving this objective. Northridge’s data-driven Root Cause Analysis process. To learn more, contact us.

Wireless 110

Wireless Analytics Average Handle Time Contact Center 110

Expivia

NOVEMBER 20, 2020

This week we will be talking about 10 unique use cases for speech analytics. Speech analytics is evolving to have use cases not yet thought of. For those of you who use speech analytics and want to expand the ROI for them, this is for you. Generating Marketing Data. Proactive Customer Service. Finding Out Why.

Analytics 98

Analytics Morale Finance Benchmark 98

The Northridge Group

SEPTEMBER 13, 2018

Today’s business environment is constantly evolving, but the consumer’s expectations are as focused as ever on the fundamentals of genuine, personalized, effortless and effective service.

Analytics 120

Analytics Personalization Customer Experience Big data 120

MiaRec

SEPTEMBER 15, 2022

With the adoption of new data processing technology and Big Data, companies are collecting more data from their customers through the implementation of customer loyalty programs, phone/email/online surveys, order histories, and much more. But this gives you a limited view of the world.

Contact Center 88

Contact Center Big data Surveys Technology 88

C3Centricity

MARCH 15, 2018

Did the title about data make you curious? Of course, in today’s data-rich environment I’m not really suggesting that you actually ignore it! If so, then just follow the steps I detail below and you will soon be doubling, quadrupling, if not 10x the ROI of your data. The Current Situation with Data.

Big data 82

Big data Analytics Personalization Entertainment 82

AWS Machine Learning

FEBRUARY 26, 2024

A modular architecture, where each module can intake model inference data and produce its own metrics, is necessary. About the Authors Bruno Klein is a Senior Machine Learning Engineer with AWS Professional Services Analytics Practice. He helps customers implement big data and analytics solutions.

Metrics 111

Metrics Big data Analytics Engineering 111

AWS Machine Learning

NOVEMBER 3, 2022

We also look into how to further use the extracted structured information from claims data to get insights using AWS Analytics and visualization services. We highlight on how extracted structured data from IDP can help against fraudulent claims using AWS Analytics services. Part 2: Data enrichment and insights.

Analytics 76

Analytics APIs Healthcare Big data 76

AWS Machine Learning

MARCH 8, 2023

With SageMaker, data scientists and developers can quickly and easily build and train ML models, and then directly deploy them into a production-ready hosted environment. It also provides common ML algorithms that are optimized to run efficiently against extremely large data in a distributed environment.

Scripts 105

Scripts Accountability Enterprise Management 105

Customer Interactions

SEPTEMBER 12, 2013

Many other sensors and data sources will probably also be routed to PSAPs, such as LPR, gunshot detection, hazmat alerts, weather alerts, telematics, and even social media. While these sources of Big Data hold a lot of promise, they will create major challenges too. for a complete evidentiary record.

Big data 29

Big data Analytics Accountability Management 29

Hero Digital

APRIL 15, 2019

In 2011, a McKinsey Global Institute report celebrated the potential for big data: “…we are on the cusp of a tremendous wave of innovation, productivity, and growth, as well as new modes of competition and value capture…”. Despite increased spending, many are failing in their efforts to become data-driven.

Analytics 64

Analytics Big data Metrics Marketing 64

Calabrio

MAY 3, 2016

When it comes to making operations more efficient, most executives know they need to leverage data to identify areas of improvement. Data collection and storage is manageable, but executives can easily find themselves with a mountain of information and more questions than answers.

Analytics 58

Analytics Contact Center Technology Big data 58

Customer Interactions

JANUARY 23, 2014

Big Data is a big business. Companies everywhere are tapping into Big Data to transform themselves. Still, for all its notoriety, Big Data is hard to pin down. Ask 10 different experts what Big Data is and you’ll get 10 different answers. Layer 3: Alarm Generation.

Big data 32

Big data Analytics Management Marketing 32

Comm100

APRIL 10, 2024

We will also consider how AI algorithms are used to process customer data patterns to predict their service requirements – dealing with issues before they even arise. The benefits of AI in customer service also range beyond predicting the needs of the customer, with algorithms able to process data to provide valuable insights.

Customer Service 84

Customer Service Chatbots Analytics Big data 84

CSM Magazine

NOVEMBER 30, 2016

Customer insight, data & analytics have become an integral part of customer experience. In The Big Book of Customer Insight, Data & Analytics , CX Network looks look at the rapid way the industry has accelerated in recent years and how these changes have impacted upon customer experience strategies across the globe.

Analytics 40

Analytics Big data Metrics Marketing 40

Etech GS

JULY 23, 2019

The ability and evolution of computer learning have led to improved efficiency, personalization and excellent analysis of big data, thereby transforming the e-commerce landscape and created a standard of expectation from customers. Integrate Integral Data. Identify Problems and Seek Solutions. Seek Value Not Reinvention.

Personalization 40

Personalization Big data Analytics Chatbots 40

Zappix

FEBRUARY 27, 2024

The company utilizes cutting-edge cloud-based technology, including AI, Robotic Process Automation (RPA), IVA and bots, Actionable Analytics and reports leveraging Big Data, and more. Our On-Demand technology transforms customer interactions through Digital Outreach, Digital Self-Service, and Agent-Assist.

Big data 52

Big data Self service Analytics Customer Care 52

CSM Magazine

MAY 26, 2023

In the current dynamic business landscape, managing data effectively has become a crucial aspect of streamlining operations. With the rapid expansion of information, organizations that leverage efficient data management strategies can quickly turn mountains of data into key insights that drive decision-making and propel growth.

Management 52

Management Government CRM Benchmark 52

Fonolo

DECEMBER 8, 2023

We live in an era of big data, AI, and automation, and the trends that matter in CX this year begin with the abilities – and pain points – ushered in by this technology. For example, big data makes things like hyper-personalized customer service possible, but it also puts enormous stress on data security.

Contact Center 81

Contact Center Big data Chatbots Scripts 81

AWS Machine Learning

SEPTEMBER 9, 2022

Affinities are computed either implicitly from the user’s behavioral data or explicitly from topics of interest (such as pop music, baseball, or politics) as provided in their user profiles. This is Part 2 of a series on using data analytics and ML for Amp and creating a personalized show recommendation list platform.

Personalization 72

Personalization APIs Engineering Metrics 72