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

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.

Contact Center 122

Contact Center Self service Analytics Banking 122

AWS Machine Learning

DECEMBER 8, 2022

Data preparation is a principal component of machine learning (ML) pipelines. In fact, it is estimated that data professionals spend about 80 percent of their time on data preparation. In this intensive competitive market, teams want to analyze data and extract more meaningful insights quickly.

Engineering 64

Engineering Analytics Enterprise Big data 64

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

AWS Machine Learning

MARCH 10, 2023

Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes in Amazon SageMaker Studio. Starting today, you can connect to Amazon EMR Hive as a big data query engine to bring in large datasets for ML.

Engineering 75

Engineering Big data Enterprise Analytics 75

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

NOVEMBER 17, 2022

Data underpins ML and AI use cases and is a strategic asset to an organization. As data is growing at an exponential rate, organizations are looking to set up an integrated, cost-effective, and performant data platform in order to preprocess data, perform feature engineering, and build, train, and operationalize ML models at scale.

Engineering 63

Engineering Big data Accountability Analytics 63

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

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

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 71

Personalization APIs Engineering Metrics 71

Peter Lavers

DECEMBER 21, 2017

As 2017 draws to its close I’ve been taking a look at my blog, twitter and Linkedin activity over the year, and I’d like to share with you my three top choices in four different categories: Most blog engagement. This blog “ Talking Omnichannel But Organised Multi-Channel? Best independent blog content. People to follow.

B2C 138

B2C B2B Customer centricity Analytics 138

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.

Contact Center 52

Contact Center Self service Analytics Banking 52

Lumoa

MAY 16, 2024

It’s an innovative approach that’s changing the game in data science and AI development. Whether you’re a seasoned data scientist or just curious about the field, we’re here to make this topic as accessible and engaging as possible. Data scientists continuously refine models based on new data and insights.

Engineering 83

Engineering Banking Metrics Big data 83

aircall

FEBRUARY 24, 2021

An overwhelming amount of available customer data to make the right decision. Here’s an overview of why it’s important to strive for maximum efficiency and effectiveness in your sales process, and how you can leverage technology and data to take your sales teams to the next level. . Reviewing customer data. The solution?

Sales 62

Sales Technology call center software CRM 62

Cincom

OCTOBER 14, 2020

For marketing, digital transformation has always been about data. Data has been the essential raw material used to identify market segments, market size, audience, buyer preferences, message content, contact qualification and all the other metrics and values required to market a product. Where Does Marketing Get Its Data Today?

Marketing 52

Marketing Analytics Call Logging Enterprise 52

AWS Machine Learning

MARCH 3, 2023

Machine learning (ML) can help companies make better business decisions through advanced analytics. In this blog post, we’ll look at how Amazon SageMaker Canvas delivers faster and more accurate model training times enabling iterative prototyping and experimentation, which in turn speeds up the time it takes to generate better predictions.

Benchmark 74

Benchmark Big data Banking Analytics 74

NobelBiz

APRIL 30, 2024

This evolution has been driven by advancements in machine learning, natural language processing, and big data analytics. Reducing Human Error and Improving Efficiency By automating repetitive and routine tasks, AI minimizes the chances of human error, such as data entry mistakes or overlooking customer information.

Call Center 105

Call Center Chatbots Virtual Agent Contact Center 105

NobelBiz

APRIL 30, 2024

This evolution has been driven by advancements in machine learning, natural language processing, and big data analytics. Reducing Human Error and Improving Efficiency By automating repetitive and routine tasks, AI minimizes the chances of human error, such as data entry mistakes or overlooking customer information.

Call Center 104

Call Center Chatbots Virtual Agent Contact Center 104

VocalCom

MARCH 11, 2019

When companies use big data to analyze their customers’ habits and preferences, it’s often the structured, quantitative kind that is considered. Customer sales data and contact center KPIs such as the Net Promoter Score may provide valuable information, but such numbers reveal little about your customers’ feelings and expectations.

Contact center software 48

Contact center software Big data Contact Center Customer centricity 48

C3Centricity

MAY 25, 2020

In today’s data-rich environment I’m not really suggesting that you actually ignore data nor technology! In fact it seems to drown out their reasoning of what to do with all the data and they remain frozen in indecision. The Current Situation with Data. Is this your case? The Opportunity.

Technology 77

Technology Big data Analytics Personalization 77

Mindtouch

SEPTEMBER 26, 2016

This week’s topic is Analytics Cloud (Wave), a recently introduced business intelligence cloud that provides a cohesive view into all of your other Salesforce Clouds. If you’ve been reading the rest of this series thus far, you know what I’m going to say: there’s a simple way to make Analytics Cloud do more.

Analytics 59

Analytics Big data Customer Experience Sales 59

Natalie Petouhof

OCTOBER 20, 2015

Tweet Teradata announced two new breakthrough software capabilities that empower business users to uncover and operationalize the insights hidden within Internet of Things (IoT) data. Even the most technology-savvy organizations recognize that extracting value from data generated by the IoT is a difficult, skills-intensive process.

Analytics 40

Analytics Big data Self service Healthcare 40

CSM Magazine

DECEMBER 19, 2023

Research and market analytics When growing your small business, check out the market. To conduct market research, you can use analytics. You can either buy big data from other companies or use data analytic tools to gain customer insights. It helps you know your current customers and find new ones.

Advertising 52

Advertising Analytics Marketing Big data 52

Beyond Philosophy

JANUARY 7, 2016

Predictive Analytics Are Key. Big data can be used to research past behavior. However, the data must include the emotional influences as well to be accurate, at least for predicting how a Customer Experience can influence future behavior. Predictive analytics are key to improving Customer Experience in 2016.

Employee engagement 186

Employee engagement Big data Analytics Education 186

aircall

MARCH 19, 2021

Our world is driven by data. By 2025, global data is projected to grow to 175 zettabytes. What happens to all this data? For some businesses, they use this customer data to gain unique insights to improve things like sales performance or the customer experience. What is Customer Data? Identity Data.

Sales 62

Sales CRM Marketing Best practices 62

Peter Lavers

OCTOBER 19, 2017

Apparently, you’ve got to be a Data Scientist now before you’re allowed near an analytics tool! Market segmentation operates at demographic or geographic levels, which when combined with researched psychographic and behavioural data creates distinct groups or personas that bring clarity a company’s product and marketing strategies.

Analytics 173

Analytics CRM Big data Marketing 173

Natalie Petouhof

AUGUST 25, 2015

Not Your Grandfather’s Predictive Analytics: Using the power of predictive analytics, Mintigo discovers your ideal customer profile, targets the prospects with the highest propensity to buy, and engages them with the right message through the right channels. Mintigo provides predictive analytics for both Marketo and Eloqua.

Analytics 75

Analytics Marketing CRM Sales 75

Etech GS

JANUARY 28, 2019

For instance, data insights play a pivotal role in CX enhancement. However, customer experience data comes in the form of messy, unorganized datasets that need to be reformed into rational patterns to derive positive outcome. Big Data Analytics. Big data analytics is a game changer of the CX world.

Technology 70

Technology Customer Experience Big data Analytics 70

AWS Machine Learning

FEBRUARY 13, 2024

To keep pace with new products, a new model was produced each month using the latest training data. Data augmentation for model training and manually managing the complete end-to-end training cycle was adding significant overhead. For certain SKUs, we augmented data to encompass a broader range of environmental conditions.

Engineering 95

Engineering Gamification Scripts Big data 95

Natalie Petouhof

FEBRUARY 1, 2016

the collaborative data company, to deliver a collaborative data catalog that brings trust in data to self-service analytics. . For example, eBay was recently honored at Teradata PARTNERS Conference and Expo with a Teradata EPIC Award for its self-service analytics with Alation. What Does This Mean To You?

Self service 40

Self service Analytics Big data Engineering 40

Lumoa

SEPTEMBER 30, 2022

According to PwC’s data, direct or digital banks now hold 20% of the market share, doubling since 2019. A whopping 72% consider personalization in financial services as very important, according to data from Capco. Improving Products and Services Through Big Data. Direct Banks and Non-Bank Financial Institutions.

Banking 94

Banking Customer Experience Big data Chatbots 94

NICE inContact

JUNE 30, 2016

Speech Analytics allows customer support organizations to analyze audio of customer interactions for mentions of keywords or phrases, call themes, as well as the sentiment and emotions of callers. One reason for the struggle with Speech Analytics is a lack of in-house analytical talent. Organizational Inertia.

Analytics 49

Analytics Contact Center Technology First call resolution 49

Jon Arnold

NOVEMBER 2, 2020

19 Webinar Preview: What Contact Centers Really Need - Big Analytics, not Big Data , JAA blog, Oct. 16 Why Voice Has Extended Value in Financial Services , Smarsh Blog, Oct. , UC Today, Oct. 23 Speech Recognition Use Cases Enable Touchless Collaboration , TechTarget, Oct. TechTarget, Oct.

voip 59

voip Big data Analytics Contact Center 59

Call Center Weekly

DECEMBER 19, 2017

By Melissa Pollock Cloud-based contact center platforms, big data analytics, omni-channel operations, and artificial intelligence applications have all contributed to a prodigious evolution in how we engage and manage customer journeys. Visit the AmplifAI blog for more insights and use cases.

Technology 136

Technology Entertainment Customer Experience Coaching 136

Beyond Philosophy

JANUARY 7, 2016

Predictive Analytics Are Key. Big data can be used to research past behavior. However, the data must include the emotional influences as well to be accurate, at least for predicting how a Customer Experience can influence future behavior. Predictive analytics are key to improving Customer Experience in 2016.

Employee engagement 150

Employee engagement Big data Analytics Education 150

Aspect

NOVEMBER 7, 2018

Digital technologies like AI, IoT, and big-data analytics have been creeping into the customer experience for some time now but only recently have businesses really started to take serious notice. The post A Guide to Navigating the Digital Hype appeared first on Aspect Blogs. But what is fact and what is fiction?

Big data 101

Big data Analytics Technology Contact Center 101

AWS Machine Learning

APRIL 19, 2023

ML models make predictions given a set of input data known as features , and data scientists easily spend more than 60% of their time designing and building these features. Apache Flink is a popular framework and engine for processing data streams. Try it out for yourself by visiting our GitHub repo.

Engineering 76

Engineering Analytics APIs Enterprise 76