ShepHyken

JUNE 1, 2023

This week, we feature an article by Miika Makitalo, CEO of HappyOrNot , the company behind the Smiley Touch™ customer experience improvement solution and a leader in data analytics. He discusses how feedback and data analytics can make or break the customer experience. The customer experience has come a long way in the past decade.

Customer Experience 156

Customer Experience Analytics Feedback Chatbots 156

AWS Machine Learning

SEPTEMBER 29, 2023

This guest post is co-written by Lydia Lihui Zhang, Business Development Specialist, and Mansi Shah, Software Engineer/Data Scientist, at Planet Labs. In late 2023, Planet announced a partnership with AWS to make its geospatial data available through Amazon SageMaker.

Metrics 105

Metrics Engineering Surveys APIs 105

ShepHyken

SEPTEMBER 18, 2020

You don’t want to inundate team members with survey data. Data visualization isn’t a new concept, but it very well could be a new way for you to share customer feedback with your internal teams. Visualizing data makes it more comprehensible and accessible — while accurately representing all of it. Then share it with your team.

Customer Service 310

Customer Service Feedback Customer Experience Surveys 310

Cisco - Contact Center

AUGUST 4, 2023

In an ongoing effort to prioritize data security and privacy for Secure Email Threat Defense customers, we’re excited to announce the opening of two data centers in the Asia Pacific region: one in A… Read more on Cisco Blogs

98

98

ShepHyken

OCTOBER 2, 2020

Customer data analytics is possible due to the rise of IoT, Big Data, and, of course, AI. Therefore, it’s time to unleash the real power of customer data. Wearable devices open new horizons for customer data management. It’s well-known that businesses use Big Data to target customers. With its help, you can: 1.

Big data 323

Big data Contact Center Advertising Personalization 323

VirtualPBX

SEPTEMBER 8, 2023

However, this convenience comes with a significant responsibility: safeguarding sensitive customer data. In this blog, we’ll explore the significance of securing your business’s customer data and share valuable tips and best practices to ensure privacy and protect against potential threats.

voip 86

voip Best practices Management Technology 86

Lumoa

FEBRUARY 7, 2023

How do you collect VoC data? Rather than simply addressing the most pressing issues or complaints, VoC enables businesses to make data-driven, customer-centric decisions that result in meaningful and sustainable improvements in the customer experience. Here are just a few examples of data that could be included in VoC.

Customer centricity 169

Customer centricity Feedback Customer Experience Surveys 169

AWS Machine Learning

SEPTEMBER 7, 2023

Offline reinforcement learning is a control strategy that allows industrial companies to build control policies entirely from historical data without the need for an explicit process model. In offline reinforcement learning, one can train a policy on historical data before deploying it into production.

Metrics 95

Metrics Engineering Scripts Feedback 95

OctopusTech

JULY 21, 2023

In this data-driven era, customer data management is highly important than anything else for companies and they are constantly gathering a huge amount of customer information and details. Data of customers act as a lifeline for any business. A data-driven customer experience is important for the success of any company.

Best practices 62

Best practices Management Upselling Customer Experience 62

AWS Machine Learning

MARCH 22, 2023

In this post, we show how to configure a new OAuth-based authentication feature for using Snowflake in Amazon SageMaker Data Wrangler. Snowflake is a cloud data platform that provides data solutions for data warehousing to data science. For more information about prerequisites, see Get Started with Data Wrangler.

APIs 81

APIs Analytics Scripts Engineering 81

Help Scout

AUGUST 22, 2023

Giving support teams easy access to relevant contextual data creates better, more human customer service. Here’s how to make it happen. Read the full article

Customer Service 85

Customer Service 85

SharpenCX

JULY 26, 2023

Every call your contact center receives brings heaps of data with it: customer information, customer preferences, product insights, customer satisfaction scores, and much more. It’s what you do with this data that makes it valuable. But perhaps you’re sitting on all of your call center data. What is Call Center Data?

Call Center 67

Call Center Contact Center Contact center software Metrics 67

Cisco - Contact Center

SEPTEMBER 6, 2023

The Data Center can be a Cornerstone of Sustainability Many organizations, including US Federal Government Agencies and the Department of Defense (DoD), are continuously shaping their data center… Read more on Cisco Blogs

Government 94

Government 94

Helpware

FEBRUARY 7, 2023

Much like the anatomical structures of the eye and visual cortex help humans to comprehend their surroundings, data labeling allows computers to quickly analyze and make sense of visual data. Then, they take action based on their understanding of this information.

Construction 71

Construction Technology 71

Tethr

MAY 29, 2023

Although Tethr boasts the only customer listening platform built for the everyday user, data scientists are also cheering on Tethr.

126

126

Contact Center Pipeline

DECEMBER 19, 2019

Contact Centers have always had an abundance of data about customers and performance. Unfortunately, that data is not being fully utilized to benefit the company, customers or agents.

Contact Center 207

Contact Center Customer Experience Call Center Self service 207

AWS Machine Learning

JUNE 23, 2022

Organizations moving towards a data-driven culture embrace the use of data and machine learning (ML) in decision-making. To make ML-based decisions from data, you need your data available, accessible, clean, and in the right format to train ML models. Amazon Redshift is a fast, fully managed cloud data warehouse.

Accountability 83

Accountability Banking Engineering Best practices 83

AWS Machine Learning

DECEMBER 1, 2022

According to a 2020 survey of data scientists conducted by Anaconda, data preparation is one of the critical steps in machine learning (ML) and data analytics workflows, and often very time consuming for data scientists. It helps interact with the data and discover insights that may go unnoticed with ad hoc querying.

Analytics 85

Analytics Accountability Construction Enterprise 85

AWS Machine Learning

OCTOBER 24, 2022

In this post, we introduce a new analysis in the Data Quality and Insights Report of Amazon SageMaker Data Wrangler. Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes. Solution overview. This can be tedious, error prone, and time consuming. Prerequisites.

Call Center 78

Call Center Finance Engineering Management 78

Call Design

NOVEMBER 4, 2021

This is a question that is asked a lot in businesses where data needs to be extracted from various sources and collated. As technology and security increase, so too does the tightening around access and use of said data, especially within the contact centre. The post Getting Data from your WFM System appeared first on Call Design.

industry standards 148

industry standards SaaS APIs Accountability 148

AWS Machine Learning

OCTOBER 4, 2022

Near-real-time delivery of data and insights enable businesses to rapidly respond to their customers’ needs. Real-time data can come from a variety of sources, including social media, IoT devices, infrastructure monitoring, call center monitoring, and more. After that, documents are free of PII entities and users can consume the data.

APIs 85

APIs Analytics Banking Personalization 85

AWS Machine Learning

JUNE 13, 2023

Implementing a modern data architecture provides a scalable method to integrate data from disparate sources. By organizing data by business domains instead of infrastructure, each domain can choose tools that suit their needs. However, realizing the full benefits requires overcoming some challenges.

APIs 73

APIs Analytics Sales Finance 73

Fonolo

OCTOBER 20, 2022

Keeping your company’s data secure is essential, but it can seem like an overwhelming task. There are effective tools, training, and technology you can implement to make sure private data stays that way. READ THE FULL GUIDE: Contact Center Security: A Guide to Keeping Your Data Safe. (It Let’s start at the beginning.

Call Center 144

Call Center Contact Center Interactive Voice Response industry standards 144

C3Centricity

SEPTEMBER 8, 2023

Explain how organizations that leverage customer […] The post The Power of Personalization: Unleashing Customer Data Analytics for Tailored Experiences first appeared on c3centricity. Introduction: [Capture the reader’s attention by highlighting the importance of personalization in delivering exceptional customer experiences.

Analytics 90

Analytics Personalization Customer Experience 90

AWS Machine Learning

AUGUST 22, 2023

We’re excited to announce Amazon SageMaker Data Wrangler support for Amazon S3 Access Points. Starting today, SageMaker Data Wrangler is making it easier for users to prepare data from shared datasets stored in Amazon Simple Storage Service (Amazon S3) while enabling organizations to securely control data access in their organization.

Enterprise 69

Enterprise Banking Accountability Management 69

AWS Machine Learning

AUGUST 4, 2023

We’re excited to announce Amazon SageMaker and Salesforce Data Cloud integration. With this capability, businesses can access their Salesforce data securely with a zero-copy approach using SageMaker and use SageMaker tools to build, train, and deploy AI models.

APIs 74

APIs Engineering Management Customer Experience 74

NobelBiz

MAY 25, 2023

Are you looking to optimize your call center’s efficiency and streamline your business’s data management process? If so, it’s crucial to find the right call center software vendor that integrates with a customer data platform (CDP). Managing customer data is nothing new.

call center software 98

call center software Call Center Contact Center APIs 98

TELUS International

SEPTEMBER 15, 2020

Understanding the nuances of each area of data specialization is key in order to best utilize and leverage them to their full potential. Discover the differences between data science, big data and data analytics and the functions they perform.

Big data 108

Big data Analytics 108

AWS Machine Learning

NOVEMBER 7, 2022

Amazon SageMaker Data Wrangler is a capability of Amazon SageMaker that makes it faster for data scientists and engineers to prepare high-quality features for machine learning (ML) applications via a visual interface. Data Wrangler reduces the time it takes to aggregate and prepare data for ML from weeks to minutes.

Best practices 68

Best practices Engineering Analytics Management 68

AWS Machine Learning

APRIL 24, 2023

Although more data is usually better, large datasets with a high number of features can sometimes lead to non-optimal model performance due to the curse of dimensionality. Analysts can spend a significant amount of time transforming data to improve model performance. Additionally, large datasets are costlier and take longer to train.

Metrics 68

Metrics Enterprise Engineering Analytics 68