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. Successful call centers use analytics to help aid, streamline and maximize customer service and sales needs…”. AmraBeganovich. Kirk Chewning.

Call Center 182

Call Center Analytics First call resolution Metrics 182

TechSee

APRIL 3, 2018

While people and processes continue to play an essential role in reducing customer churn , the technological advancement associated with AI, Big Data analytics, visualization, voice analytics, and other advanced technologies that improve the customer experience offer a critical boost to the human factor.

Customer retention 141

Customer retention Technology Analytics Technical Support 141

Totango

SEPTEMBER 1, 2022

The traditional fixed quarterly review is being replaced by real-time performance monitoring and artificial intelligence data analysis, enabling you to stay engaged with clients between scheduled reviews. Here we’ll show you how to update your SaaS QBR strategy to keep up with the latest technology and best practices.

SaaS 98

SaaS Journey mapping Upselling Best practices 98

Totango

DECEMBER 1, 2021

An agile approach brings the full power of big data analytics to bear on customer success. The post How to Bring Agile Innovation to Customer Success appeared first on Best Customer Success Blog: Articles for Enterprise Growth. 7 Steps to Bring Agile Innovation to Customer Success.

Government 97

Government Journey mapping Accountability Benchmark 97

Totango

DECEMBER 16, 2020

Out-of-the-box templates automate the process of defining measurable customer goals, establishing key performance indicators, promoting best practices and tracking performance. Another of the most important new trends in customer success is the application of big data analytics methods powered by artificial intelligence.

Journey mapping 71

Journey mapping Best practices Accountability Big data 71

AWS Machine Learning

MARCH 23, 2023

Homomorphic encryption is a new approach to encryption that allows computations and analytical functions to be run on encrypted data, without first having to decrypt it, in order to preserve privacy in cases where you have a policy that states data should never be decrypted.

Scripts 96

Scripts APIs Government Analytics 96

Taylor Reach Group

MARCH 26, 2018

Every year the PACE Convention & Expo focuses on the best practices and technologies used in the contact center. Monetising Big Data in Telecoms World Summit 2018 April 23 – 24, Singapore. Applying Artificial Intelligence and Deep Learning for Enterprises April 23 -24, Singapore.

Contact Center 51

Contact Center Call Center Customer Experience Big data 51

Verint

JUNE 6, 2017

Attendees hosted sessions and exchanged best practices on topics including voice of the customer, desktop and process analytics, automation/robotics, employee engagement, quality management, back-office and branch operations, compliance recording and workforce management.

Employee engagement 34

Employee engagement Quality management Analytics Best practices 34

ChurnZero

OCTOBER 22, 2020

ChurnZero’s components range from big-data ingestion, advanced analytics, and health scoring to large-scale workflows, numerous native integrations, and fully-automated alerts and campaigns. The sacrifice of shared industry best practices and competition-fueled innovation.

CRM 59

CRM Customer retention Technology Best practices 59

Natalie Petouhof

FEBRUARY 22, 2016

Today’s enterprises span a spectrum of engagement when it comes to the Internet of Things (IoT). Wherever an enterprise is with their use of IoT, they can benefit from expert insight to help them accomplish their goals. Tweet Is IoT Relevant to Today’s Companies? What Were The Sessions About? Where Can You Learn More?

Best practices 40

Best practices Consulting Consulting Enterprise 40

Natalie Petouhof

MARCH 2, 2016

Blueprint’s leading-edge, enterprise solution allows Capgemini to accelerate delivery of its industry leading solutions and reduce total cost of ownership for its customers. Blueprint’s software assists in aligning business strategy with IT execution, ensuring regulatory compliance, and supporting organizational transformation.

Management 40

Management Best practices Consulting Consulting 40

AWS Machine Learning

OCTOBER 20, 2023

Governing ML lifecycle at scale is a framework to help you build an ML platform with embedded security and governance controls based on industry best practices and enterprise standards. This framework is useful for the following customers: Large enterprise customers that have many LOBs or departments interested in using ML.

Government 103

Government Engineering Accountability Enterprise 103

Fonolo

NOVEMBER 17, 2020

In 2017, more contact centers will recognize the impact of tracking analytics and use those benchmarks for future growth. While cost reduction is typically the main factor when investing in an enterprise solution – it’s no longer the sole motivator for moving to Contact Center as a Service (CCaaS). Big Data is Getting Bigger.

Contact Center 176

Contact Center Gamification Call Center Average Handle Time 176

AWS Machine Learning

FEBRUARY 28, 2024

The solution in this post aims to bring enterprise analytics operations to the next level by shortening the path to your data using natural language. To learn more about text-to-SQL best practices and design patterns, see Generating value from enterprise data: Best practices for Text2SQL and generative AI.

Engineering 112

Engineering Best practices Analytics Enterprise 112

AWS Machine Learning

NOVEMBER 24, 2023

This offering enables BMW ML engineers to perform code-centric data analytics and ML, increases developer productivity by providing self-service capability and infrastructure automation, and tightly integrates with BMW’s centralized IT tooling landscape. JuMa automatically provisions a new AWS account for the workspace.

Engineering 73

Engineering Analytics Government Self service 73

SmartKarrot

APRIL 17, 2023

Evaluate the chatbot’s features: Evaluate the features and capabilities of the chatbot, such as natural language processing, machine learning, integrations with messaging platforms, and reporting and analytics. Choose a chatbot that has the features and capabilities that align with your business needs. Like what you are reading?

Chatbots 10

Chatbots Scripts Enterprise Personalization 10

AWS Machine Learning

APRIL 19, 2023

Solutions need high-throughput updates and low-latency retrieval of the most recent feature values in milliseconds, something most data scientists aren’t prepared to deliver. As a result, some enterprises have spent millions of dollars inventing their own proprietary infrastructure for feature management.

Engineering 76

Engineering Analytics APIs Enterprise 76

ClearAction

APRIL 18, 2015

An enterprise social platform can integrate collaborative networking & knowledge management. Create CX playbooks & best practice to guide interactions with customers. Data can be insightful to all of the roles HR takes on in facilitating the company’s CX goals. —@EngageGXD. —@sharmasights.

Customer Experience 96

Customer Experience Employee engagement Big data Analytics 96

Xaqt

JUNE 22, 2020

The innovation quagmire in the Call Center Reporting and Analytics space is rooted in three key issues: Vendor's who's contact center suites are an amalgamation of various acquisitions, such as: Cisco, Avaya, Genesys, NICE and Verint have done a poor job of providing integrated data and reporting across their own portfolios.

Call Center 52

Call Center Contact Center Analytics Engineering 52

AWS Machine Learning

SEPTEMBER 9, 2022

Data must be utilized, stored, and accessed in specific ways, and we have embedded robust processes to ensure our practices comply with our legal obligations as well as align with industry best practices. Victor is an engineer and scrum master, helping data scientists build secure fast machine learning pipelines.

Engineering 75

Engineering Healthcare APIs Scripts 75

AWS Machine Learning

MAY 10, 2023

Send predictions to QuickSight You can now share predictions from these ML models as QuickSight datasets that will serve as a new source for enterprise-wide dashboards. Through this capability, ML becomes more accessible to business teams so they can accelerate data-driven decision-making. Varun Mehta is a Solutions Architect at AWS.

Accountability 75

Accountability Enterprise Big data Management 75

Calabrio

JANUARY 6, 2016

As more agents are working remotely, in different countries, different time zones and in different languages, the contact center’s systems—for workflow, CRM, analytics—will have to be more tightly integrated. It will be more important than ever to have systems in place to handle all that data, organize it and mine it. Look at 2016.

Contact Center 53

Contact Center Analytics Self service Wireless 53

AWS Machine Learning

JANUARY 26, 2023

Valerio’s expertise lies in developing algorithms for large-scale machine learning and statistical models, with a focus on data-driven decision making and the democratization of artificial intelligence Ganapathi Krishnamoorthi is a Senior ML Solutions Architect at AWS. Hariharan Suresh is a Senior Solutions Architect at AWS.

Finance 73

Finance Engineering Big data Banking 73