The Top 50 Marketing Analytics & Data Analysis Certifications & Courses
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.
Analysis Analytics Big data 
Contact Center Software Trends 2025 For Better Customer Service
Hodusoft
APRIL 21, 2025
It gains more ground in 2010, especially in helping with big data analysis. It plays a key role in agent and customer side operations as well as in analytics. AI-powered speech analytics and text analytics empower call centers to create custom responses or draft suitable messages.
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Webinar Preview: What Contact Centers Really Need - Big Analytics, not Big Data
Jon Arnold
OCTOBER 16, 2020
What began as an exploration of contact center reporting, soon became a bigger exercise in the ever-expanding world of Big Data, and that has inevitably taken me into the adjacent galaxy of BI – business intelligence. The cloud has changed everything, and that brings us to Big Data. The mind boggles.
Big data 
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Revolutionizing clinical trials with the power of voice and AI
AWS Machine Learning
MARCH 18, 2025
This step provides an accurate and efficient conversion of spoken words into a format suitable for further analysis. Text preprocessing The transcribed text undergoes preprocessing steps, such as removing identifying information, formatting the data, and enforcing compliance with relevant data privacy regulations.
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Executive Report: The Customer Data Too Often Overlooked by the C-Suite
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A recent Calabrio research study of more than 1,000 C-Suite executives has revealed leaders are missing a key data stream – voice of the customer data. Download the report to learn how executives can find and use VoC data to make more informed business decisions.
Performance Management Bridges the Divide Between Big Data and Big Knowledge
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.
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Call Center Optimization: Big Data Analytics
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.
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Generate financial industry-specific insights using generative AI and in-context fine-tuning
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 118
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Success Story: Using Data Analytics to Improve First Contact Resolution in Healthcare Contact Centers
The Northridge Group
MARCH 28, 2022
In our previous post , we discussed the importance of adopting a data-driven analytical approach to move the needle on patient/member experience, enabling higher CMS Stars Ratings and increased bonus payments for Medicare Advantage plan providers. A Success Story.
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Guest Blog: 5 Ways To Leverage Technology For A Better Customer Experience
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.
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Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale
AWS Machine Learning
NOVEMBER 22, 2024
It enables different business units within an organization to create, share, and govern their own data assets, promoting self-service analytics and reducing the time required to convert data experiments into production-ready applications. In his spare time, he rides motorcycle and walks with his sheep-a-doodle!
Government 101
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Leveraging Big Data to Fine Tune Customer Experiences
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.
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Transforming credit decisions using generative AI with Rich Data Co and AWS
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. With more than 20 years of experience in data analytics and enterprise applications, he has driven technological innovation across both the public and private sectors.
Prescriptive analytics: The way forward for Big Data
Hero Digital
FEBRUARY 20, 2020
This, in a nutshell, is prescriptive analytics. For a long time, the field of data and analytics was focused on describing what happened — how many customers bought the product, what they looked like, how many came back, etc. With the advent of advanced ML algorithms, analytics has now entered the prescriptive phase.
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Linking ESG Programs to Corporate Financial Performance: An Econometric Analysis Approach
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
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Digital Transformation in Retail Banks: Potential Impact on Brand Equity, Customers, and Employees
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.)
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The Evolving Chief Customer Officer: Identifying Value, Authority, Scope, Responsibilities, and Strategic Direction Within the Enterprise
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”.
10 Unique Use Cases for Speech Analytics
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. Tracking Silence.
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4 AI Trends that will Transform the Telecom Industry in 2019
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 Predictive maintenance.
You’ve Got Data? Well Don’t Start There!
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.
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Why Technology Won’t Help You Understand Your Customers
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.
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21 Business Analysts & Call Center Leaders Reveal the Optimal Role of the Business Analyst in Call Center Operations
Callminer
SEPTEMBER 14, 2020
For instance, to improve key call center metrics such as first call resolution , business analysts may recommend implementing speech analytics solutions to improve agent performance management. That requires involvement in process design and improvement, workload planning and metric and KPI analysis. Andrew Tillery. MAPCommInc.
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How to Choose the Best Data Visualization Tools
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. Data Permission. Data Preparation.
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2 Innovative Technologies Guaranteed to Reduce Your Truck Rolls
TechSee
NOVEMBER 20, 2018
There are two complementary trends in the market today that, together, have the power to significantly reduce truck rolls across a wide range of industries, such as telecom, utilities, consumer electronics, and more. Predictive support through data analytics. Remote visual resolution through live streaming video and augmented reality.
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How Big Data Analytics Is Gold for Call Centers?
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.
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Gone Virtual: Recap of the CETX Conference
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. CETX 2020: It was a cyber success.
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The Analytical Leader: Understanding Customer Experience Requires Thick Data
CX Advantage Walker
APRIL 11, 2018
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. The post The Analytical Leader: Understanding Customer Experience Requires Thick Data appeared first on CX Advantage.
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Techniques and approaches for monitoring large language models on AWS
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. About the Authors Bruno Klein is a Senior Machine Learning Engineer with AWS Professional Services Analytics Practice.
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Deploying Big Data to Improve The Purchase Experience
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.
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Descriptive Analytics vs. Predictive Analytics: What’s the Difference?
LiveVox
MAY 24, 2021
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. Analysis of all […]. The post Descriptive Analytics vs. Predictive Analytics: What’s the Difference?
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Intelligent document processing with AWS AI and Analytics services in the insurance industry: Part 2
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. Detect fraudulent insurance claims.
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The breadth of Customer Insight
Peter Lavers
FEBRUARY 11, 2015
Even in our poll of over 100 customer insight leaders, only half of you considered data management or database marketing to be part of Customer Insight. The majority also had only research reporting into them, not analytics. But it is possible to be drowning in data and still none the wiser about your customers.
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Fonolo Investigates: How Retailers are Using Customer Data to Gain a Competitive Advantage
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.
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Call Center Analytics: How to Analyze Call Center Data
Balto
JANUARY 14, 2025
In todays customer-first world, monitoring and improving call center performance through analytics is no longer a luxuryits a necessity. Utilizing call center analytics software is crucial for improving operational efficiency and enhancing customer experience. What Are Call Center Analytics?
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What a Customer First Strategy Means Post Pandemic
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.
Harnessing the Power of Data to Improve First Contact Resolution
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.
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Prioritizing employee well-being: An innovative approach with generative AI and Amazon SageMaker Canvas
AWS Machine Learning
JUNE 3, 2024
Run a Data Quality and Insights report After you import the dataset, the SageMaker Data Wrangler data flow will open. You can run a Data Quality and Insights Report, which will perform an analysis of the data to determine potential issues to address during data preparation. Choose Create model.
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Are softer skills for analysts being neglected?
Peter Lavers
NOVEMBER 26, 2015
In my new line of work, I get to speak at industry conferences, read data/analytics/research publications and scan the plethora of blogs or social media comments on this topic. Planning your Analysis (using a 9 step model to plan for successful delivery). Perhaps there is another reason as well. What results have you seen?
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The Big Data Challenge/Opportunity: What it Means for Security
Customer Interactions
MARCH 11, 2013
Organizations are similarly challenged by the overflow of Big Data from transactions, social media, records, interactions, documents, and sensors. But the ability to correlate and link all of this data, and derive meaningful insights, can offer a great opportunity.
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Guest Blog: Contact Center Talent in These Changing Times, Part 1 – Setting the Stage
Calabrio
NOVEMBER 25, 2020
Technology is also creating new opportunities for contact centers to not only better serve customers but also gain deep insights through Big Data. With analytics, contact centers can leverage their data to see trends, understand preferences and even predict future requirements. We’ve covered a lot of ground here.
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Cepsa Química improves the efficiency and accuracy of product stewardship using Amazon Bedrock
AWS Machine Learning
AUGUST 2, 2024
This is a guest post co-written with Vicente Cruz Mínguez, Head of Data and Advanced Analytics at Cepsa Química, and Marcos Fernández Díaz, Senior Data Scientist at Keepler. The analysis was conducted for queries based on both unstructured (regulatory documents and product specs sheets) and structured (product catalog) data.
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Fast and cost-effective LLaMA 2 fine-tuning with AWS Trainium
AWS Machine Learning
OCTOBER 5, 2023
His research interests are in the area of natural language processing, explainable deep learning on tabular data, and robust analysis of non-parametric space-time clustering. His research interest is in systems, high-performance computing, and big data analytics. Youngsuk Park is a Sr. He founded StylingAI Inc.,
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125 Root Cause Analysis: Getting to the Heart of your CX Problems
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. You should use root cause analysis techniques including multivariate regression to learn more.
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Call Center Analytics : How To Take Your Business Intelligence To The Next Level?
NobelBiz
FEBRUARY 22, 2023
As big Data for contact centers is bringing insights and business possibilities at every level of the organization if managed correctly. That is why Call center analytics enables you to collect and analyze customer data to prioritize them. This comprehensive data includes information on every inbound and outbound call.
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