Beyond Philosophy

AUGUST 15, 2019

The Types of Data for Your Metrics. Peppers says there are two different types of data that feed your metrics: Voice of Customer (VOC) Data: Peppers calls these metrics interactive data, meaning your customer interacts with you through a poll. VOC Data Can Be Deceiving Where Numbers Are Not.

Metrics 312

Metrics Finance Surveys Consulting 312

Playvox

MAY 24, 2022

With their member-oriented data goals in mind, Playvox worked with SoFi to build out the reporting their diverse department leaders needed during this exciting time of transition. Critical compliance indicators are a key metric for each team. Data Needs Context. Diverse Teams Need Customized Reporting. ENJOYING THIS ARTICLE?

Big data 72

Big data Construction Banking Coaching 72

AWS Machine Learning

NOVEMBER 14, 2024

The DS uses SageMaker Training jobs to generate metrics captured by , selects a candidate model, and registers the model version inside the shared model group in their local model registry. You can use the method mlflow.autolog() to log metrics, parameters, and models without the need for explicit log statements.

Government 103

Government Management APIs Accountability 103

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

VocalCom

AUGUST 7, 2017

In addition, contact center metrics such as average handling time and first contact resolution provide data on how the customer experience is affected by service practices. Here are five ways big data can be used to improve the customer experience. Identify the metrics that need improvement in the contact center.

Big data 48

Big data Customer Experience Average Handle Time Abandon rate 48

ShepHyken

AUGUST 28, 2017

This guide will discuss important metrics to consider when measuring satisfaction, and how to achieve customer happiness and retention along the way. Antavo) Online eCommerce giants are moving into the offline sphere and we’re seeing more and more innovative solutions based on Big Data.

Customer Service 209

Customer Service Contact Center Benchmark Big data 209

AWS Machine Learning

FEBRUARY 26, 2024

In this post, we demonstrate a few metrics for online LLM monitoring and their respective architecture for scale using AWS services such as Amazon CloudWatch and AWS Lambda. Overview of solution The first thing to consider is that different metrics require different computation considerations. The function invokes the modules.

Metrics 139

Metrics Big data Analytics Engineering 139

Mindtouch

MARCH 3, 2017

Back in 1997, Michael Cox and David Ellsworth first coined the term “big data” as we understand the term today. For Cox and Ellsworth, “big data” names the challenge of visualizing extremely large amounts of computer data that (in those days) exceeded the capacities of local systems. Numbers Aren’t the Whole Story.

Big data 48

Big data CRM Metrics Marketing 48

AWS Machine Learning

FEBRUARY 18, 2025

To evaluate the system health of RCA, the agent runs a series of checks, such as AWS Boto3 API calls (for example, boto3_client.describe_security_groups , to determine if an IP address is allowed to access system) or database SQL queries (SQL: sys.dm_os_schedulers , to query the database system metrics such as CPU, memory or user locks).

APIs 74

APIs Engineering Metrics Big data 74

AWS Machine Learning

SEPTEMBER 6, 2024

This post focuses on evaluating and interpreting metrics using FMEval for question answering in a generative AI application. FMEval is a comprehensive evaluation suite from Amazon SageMaker Clarify , providing standardized implementations of metrics to assess quality and responsibility. Question Answer Fact Who is Andrew R.

Best practices 95

Best practices Metrics Sales Benchmark 95

Beyond Philosophy

FEBRUARY 5, 2022

Big Data creates big problems. Moreover, it’s surprising how many organizations can’t tell you how improving metrics identified by the employed measures translates to providing value to the organization. One of the biggest problems is what to do with it now that you have it.

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.

Big data 140

Big data Analytics Metrics Sales 140

Etech GS

JULY 31, 2019

. • Quality control : Every call center has metrics related to customer service and the engagement experience. The data gathered through the call center makes this easier. Also, all this data is prime material for training new agents, and better-trained agents mean improved customer metrics. The Process of Using Big Data.

Big data 40

Big data Call Center Analytics Healthcare 40

Talkdesk

JULY 28, 2017

Turning Big Data into Big Decisions. In this Opentalk session, Tomasz reveals the biggest mistakes startups make with their metrics and what to do about it to optimize your business. The number one metric mistake. Lagging metrics create long feedback loops — too long. The 411 on Proxy Metrics.

Big data 40

Big data Metrics Customer centricity Feedback 40

ProProfs Blog

DECEMBER 11, 2020

However, at the same time, it is also one of the CX metrics that cannot be measured straightforwardly. Some of the key benefits of in-app surveys related to service quality metrics are: Customer validation for specific offerings, services, and features. Monitoring Service Quality Metrics. Let’s check them out. Let’s find out!

Metrics 78

Metrics Customer Service Surveys Customer effort 78

Talkdesk

JULY 28, 2017

Turning Big Data into Big Decisions. In this Opentalk session, Tomasz reveals the biggest mistakes startups make with their metrics and what to do about it to optimize your business. The number one metric mistake. Lagging metrics create long feedback loops — too long. The 411 on Proxy Metrics.

Big data 40

Big data Metrics Customer centricity Feedback 40

Jive

AUGUST 27, 2018

Phone metrics inform data-driven decisions. In the era of Big Data and data-driven decisions, phone metrics can act as an invaluable measure of customer service. Previously, only the top dogs in any industry had access to phone metrics. The most helpful phone metrics to track.

Metrics 63

Metrics Interactive Voice Response voip Abandon rate 63

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. ” Bold words indeed!

Big data 124

Big data Analytics Personalization Entertainment 124

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.

Customer Experience 210

Customer Experience Engineering Customer centricity B2C 210

360Connext

SEPTEMBER 27, 2017

There is No Perfect Metric. Leaders have spent years banging the drum for one metric or another as the perfect way to track customer experience. But the trend now is to look beyond one metric and embrace the mix of ways to measure the experience. Soft Data is Perfectly OK.

Banking 124

Banking Metrics Big data Consulting 124

C3Centricity

MAY 25, 2020

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. ” Bold words indeed!

Technology 121

Technology Big data Analytics Personalization 121

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

AWS Machine Learning

JUNE 25, 2024

A new automatic dashboard for Amazon Bedrock was added to provide insights into key metrics for Amazon Bedrock models. From here you can gain centralized visibility and insights to key metrics such as latency and invocation metrics. Optionally, you can select a specific model to isolate the metrics to one model.

Metrics 125

Metrics APIs Government Big data 125

Up Your Service

MAY 21, 2015

The irony of this period of Big Data is that many organizations are becoming even more disconnected from their customers. Much of Big Data is about customer behavior: what they bought, how they bought, what devices they used, how many pages they looked at, etc. The big thing missing in Big Data is empathy.

Big data 87

Big data Technology Marketing Customer Experience 87

Outsource Consultants

JUNE 19, 2018

In order to accomplish this, Marinina says that companies need to break down silos holding data and have the right people and the right framework in place to make the best use of the data. 5 Valuable Metrics Contact Centers Can Provide Companies. These five metrics are crucial to demonstrating success in the contact center.

Contact Center 52

Contact Center Metrics outsourcing Abandon rate 52

Callminer

SEPTEMBER 14, 2020

They serve as a bridge between IT and other business functions, making data-driven recommendations that meet business requirements and improve processes while optimizing costs. That requires involvement in process design and improvement, workload planning and metric and KPI analysis. Kirk Chewning. kirkchewning.

Call Center 182

Call Center Analytics First call resolution Metrics 182

Callminer

MARCH 9, 2020

“Companies have moved beyond simple ‘do we have enough people’ approaches that measure average handle time to become more concerned with customer satisfaction metrics such as net provider scores — taking into account the skill sets of organizations,’ said Roger Woolley, Verint’s vice president, Solutions Marketing.”

Best practices 182

Best practices Call Center Analytics Metrics 182

Calltools

DECEMBER 12, 2018

Metrics drive the success of any call center. In today’s IoT (Internet of Things) landscape, analyzing big data is now a crucial factor that must be embraced by call centers for collections, customer service, and sales. This accelerates your conversion cycle and improves your metrics. How does this work?

Metrics 45

Metrics Analytics Call Center Sales 45

AWS Machine Learning

OCTOBER 2, 2024

Provide control through transparency of models, guardrails, and costs using metrics, logs, and traces The control pillar of the generative AI framework focuses on observability, cost management, and governance, making sure enterprises can deploy and operate their generative AI solutions securely and efficiently.

Government 129

Government APIs Enterprise Best practices 129

AWS Machine Learning

MARCH 15, 2024

He entered the big data space in 2013 and continues to explore that area. Her specialization is machine learning, and she is actively working on designing solutions using various AWS ML, big data, and analytics offerings. He also holds an MBA from Colorado State University.

Healthcare 132

Healthcare Big data Engineering Accountability 132

AWS Machine Learning

MARCH 3, 2023

The configuration tests include objective metrics such as F1 scores and Precision, and tune algorithm hyperparameters to produce optimal scores for these metrics. His knowledge ranges from application architecture to big data, analytics, and machine learning.

Benchmark 99

Benchmark Big data Banking Analytics 99

ClearAction

APRIL 18, 2015

Focus employee metrics more on CX enabling behaviors, less on survey ratings. Data can be insightful to all of the roles HR takes on in facilitating the company’s CX goals. 60% of companies are now investing in big data and analytics to make HR more data driven. HR must integrate with the Ops teams.

Customer Experience 96

Customer Experience Employee engagement Big data Customer centricity 96

AWS Machine Learning

OCTOBER 29, 2024

Amazon SageMaker Model Monitor allows you to automatically monitor ML models in production, and alerts you when data and model quality issues appear. SageMaker Model Monitor emits per-feature metrics to Amazon CloudWatch , which you can use to set up dashboards and alerts. Enable CloudWatch cross-account observability.

Government 108

Government Metrics Accountability APIs 108

AWS Machine Learning

SEPTEMBER 9, 2022

This is Part 2 of a series on using data analytics and ML for Amp and creating a personalized show recommendation list platform. The platform has shown a 3% boost to customer engagement metrics tracked (liking a show, following a creator, enabling upcoming show notifications) since its launch in May 2022.

Personalization 94

Personalization APIs Metrics Engineering 94

AWS Machine Learning

JUNE 3, 2024

For Objective metric , leave as the default F1. F1 averages two important metrics: precision and recall. Review model metrics Let’s focus on the first tab, Overview. The advanced metrics suggest we can trust the resulting model. Choose Configure model to set configurations. For Training method , select Auto.

Surveys 125

Surveys Metrics Analytics Engineering 125

AWS Machine Learning

AUGUST 15, 2024

Scoring – This shows visualizations that you can use to get more insights into your model’s performance beyond the overall accuracy metrics. Advanced metrics – This contains your model’s scores for advanced metrics and additional information that can give you a deeper understanding of your model’s performance.

Enterprise 128

Enterprise Metrics Analytics Big data 128

AWS Machine Learning

FEBRUARY 29, 2024

framework/modelmetrics/ – This directory contains a Python script that creates an Amazon SageMaker Processing job for generating a model metrics JSON report for a trained model based on results of a SageMaker batch transform job performed on test data. The model_unit.py script is used by pipeline_service.py The pipeline_service.py

Scripts 126

Scripts Engineering Metrics Best practices 126