Clarivate

NOVEMBER 28, 2023

This latest report, like its predecessors, bases its findings on Research Fronts, which are self-organizing clusters of related research identified by citation analysis. Research Fronts form when clusters of highly cited papers are frequently cited together.

Report 59

Report Analysis Comparison Course 59

Optimove

AUGUST 4, 2021

More from Optimove on segmentation: RFM Segmentation Paul Stuart Revolutionizes Its Customer Marketing with Optimove Customer Segmentation via Cluster Analysis. Spoiler alert: Yup, there is. A Personal Value Proposition. From a Wince to Delight.

Groups 87

Groups CRM Ecommerce Comparison 87

SurveySparrow

OCTOBER 3, 2023

In this blog, we will look into all that you need to know about sampling methods. This method provides a more detailed analysis of each subgroup’s characteristics. Cluster Sampling In cluster sampling, your population is divided into clusters, like neighborhoods in a city. What is Sampling?

Survey 52

Survey Study Groups CRM 52

Thematic

AUGUST 14, 2023

If I expand any of the sentence clusters, I get even more detail - each and every comment that is similar. I’ve filtered the reviews further to zero in on those tagged as positive by Thematic’s sentiment analysis. If you’re keen to follow along, subscribe to the blog, or keep an eye on our socials.

Analysis 62

Analysis Feedback Groups Analytics 62

Clarivate

APRIL 21, 2022

In this blog, part of a new series highlighting the contributions from Ukraine to global research, we analyze the growth and diversity of subject areas in Ukraine. We also look at Ukraine’s contribution to global Research Fronts , which form when clusters of Highly Cited Papers are frequently cited together.

Innovation 98

Innovation Technology Analysis Banking 98

Optimove

JULY 27, 2020

By clustering customers based on multiple attributes, retailers can provide more relevant and personalized offers to their very different customer segments. Although most retailers cluster customers using attributes such as preferred category or recently purchased product, other more advanced options exist. The Insight. The Action.

CRM 60

CRM Tips Retail Analysis 60

Ascribe

JULY 26, 2023

From internet reviews to social media posts and responses to survey questions, a mountain of unstructured text begs for analysis. Unfortunately, open-end analysis is difficult, time-consuming and labor intense. Clustering Ideas into Groups. No need to carve out a sub-set of the data file for analysis hoping it is representative.

Analysis 40

Analysis Social Media Customer Satisfaction Trends 40

Feedbackly

JUNE 21, 2023

You have to categorize emotions into different clusters based on their amplitude and assign them a value between -1 and +1. For example, if the EVI® data analysis indicates a negative emotion, it could mean that customers are facing a pain point at a particular phase. The Emotional Value Index (EVI®) is the metric used to measure EE.

Measurement 95

Measurement Loyalty Programs Touchpoint Metrics 95

NetBase

SEPTEMBER 1, 2020

With insight from sources web-wide, including social media analysis of social channels, blogs, forums, microblogs, news, comment data, review sites and more, NetBase has the most complete and accurate insight available. Our new Social Mood analysis is powered by next generation AI technology. Social Listening for Social Mood.

Brands 52

Brands Report Social Media Analysis 52

NetBase

AUGUST 21, 2020

News and blogs are great for seeing what the world is talking about – but those talking points have to begin somewhere. Our analysis shows that LG Electronics and Magic Leap Inc. Going with our technology theme, here’s how that looks when we ran an ‘internet of things’ (IoT) analysis. Negative Sentiment is Telling Too.

Marketing 52

Marketing Trends Analysis Consumers 52

AWS Machine Learning

DECEMBER 20, 2022

Graph data loaded into the Neptune cluster (see Part 1 for more information). In Part 1, we created a SageMaker notebook and export service to export our data from the Neptune DB cluster to Amazon S3 in the required format. For this blog post we use the original configuration file. Set up environment variables.

Entertainment 88

Entertainment Training Advertising Data 88

NetBase

AUGUST 26, 2020

Sitting comfy in the middle of out Stocks cluster is Direxion Work From Home ETF ’s. Social listening paired with market research allows brands to see how consumer sentiment pairs up with published articles, papers and blogs – providing a rounded view. So this sentiment analysis is a vaulable assist to market intelligence indeed!

Marketing 81

Marketing Trends Banking Competitive Advantage 81

Optimove

SEPTEMBER 10, 2020

Today we’ll discuss the influence of rule-based and cluster-based segmentation on your marketing efforts. Rule-based segmentation is a simple methodology whereby you would identify an attribute you’d want to segment your customers by and set different thresholds to determine what cluster each customer should be a part of.

Trends 52

Trends Groups Customers Analysis 52

Clarivate

OCTOBER 31, 2023

Our analysis suggests this trajectory is likely to continue. Through Research Fronts , which involve clustering recently published, Highly Cited Papers based on the even more recent papers that cite them, we can begin to understand the hot topics in China’s research focus beyond broad subject categories and build a granular view.

Policies 75

Policies Trends Analysis Report 75

Feedbackly

DECEMBER 22, 2022

For calculating EVI® , the selected set of emotions is grouped into clusters. Each cluster has a numerical value assigned to it based on the level of impact. It gives you a well-rounded analysis of emotional experience. Emoticons are displayed in a circular form to avoid survey bias.

Survey 52

Survey Customer Journeys Measurement Metrics 52

NetBase

JULY 14, 2020

Next generation AI-powered digital consumer analysis is unique because there’s no bias, no human input to muck it up. We have two new reports on How to Perform a Competitor Analysis and another detailing the Importance of Competitive Intelligence that will inform your efforts. Sentiment Analysis for Consumer Understanding.

Analysis 94

Analysis Ecommerce Consumers Analytics 94

NetBase

FEBRUARY 26, 2020

Strategic risk and M&A analysis. Here, for example, we can see what’s happening in the ecommerce category since January 1, 2020: From there, as we start to dig in to related conversations, with tendrils between clusters highlighting items that act as connectors between events, where we can explore relevant items. Business profiles.

Consumers 67

Consumers Brands Social Media Marketing 67

AWS Machine Learning

MAY 25, 2023

This will create all the necessary infrastructure resources needed for this solution: SageMaker endpoints for the LLMs OpenSearch Service cluster API Gateway Lambda function SageMaker Notebook IAM roles Run the data_ingestion_to_vectordb.ipynb notebook in the SageMaker notebook to ingest data from SageMaker docs into an OpenSearch Service index.

Chatbots 75

Chatbots Data Training How To 75

NobelBiz

FEBRUARY 20, 2024

Here are the top reasons why VoIP is essential for call centers: RELATED ARTICLE Unveiling the Cost Savings of VOIP in 2023: A Comprehensive Analysis Lower Costs: VoIP calls are more cost-effective than traditional landline calls. Calls are first routed to the cloud, where they undergo processing via the SBC Cluster.

Contact Center 105

Contact Center Call Center Self Service System 105

NetBase

SEPTEMBER 7, 2020

We can see the consumer snapshot, of course, but also which blogs, forums and news sites have picked it up – and can click through to see precisely what is being said on each: And where they’re located: And this location data makes sense, as Red Wing Shoe Company is based in Minnesota.

Consumers 75

Consumers Brands Social Media Sales 75

Optimove

MAY 31, 2023

It relies on the premise that although it isn’t feasible to treat every customer individually, customers can be grouped into clusters based on similar tendencies. The RFM approach to customer behavior analysis is a good case in point. Many customer behavior models are based on an analysis of Recency, Frequency and Monetary Value (RFM).

Technology 52

Technology Analysis Groups Customers 52

datastax

DECEMBER 5, 2018

Operational analytics are paramount in driving the types of real-time analysis needed by today’s constantly-connected cloud applications that personalize every customer encounter. Also—keep an eye for more blog posts in the coming weeks that delve into all of the DSE 6.7’s DSE Now Kafka and Docker Ready. Give DSE 6.7

Analytics 65

Analytics Financial Software System 65

NetBase

AUGUST 6, 2020

It’s an ongoing analysis of the competition, and one that needs to be very specifically focused to be of real value to brands. As a matter of fact, when we separate the clusters by relevant tags, we find that 13% of the conversation is geared toward specific companies, sales reports and market analyses. Crosstabs are Customizable.

Social Media 68

Social Media Analysis Consumers Competitive Advantage 68

NetBase

JUNE 11, 2020

As you dive into each of these clusters you’ll uncover data about what travel will look like in the coming months and things you can do to make consumers’ travel experiences smoother. But it’s not enough to understand the conversation from a news and blog perspective.

Travel 60

Travel Airlines Consumers Hotels 60

NetBase

MARCH 18, 2020

One of Quid’s most powerful text analysis use cases is to help companies and brands identify and prepare for potential PR crises. Our software allows you to identify what blogs, social media, and publications are saying about your organization so you can identify the most vulnerable areas or processes.

Social Media 52

Social Media Effort Score Analysis Advertising 52

AWS Machine Learning

NOVEMBER 3, 2023

This data serves as the bedrock for comprehensive analysis of player performance, tactical intricacies, and team strategies. Simultaneously, the shot speed data finds its way to a designated topic within our MSK cluster. On the flip side, optical tracking data is collected using advanced camera systems.

Sports 88

Sports Measurement Metrics Data 88

NetBase

JULY 30, 2020

Speaking of ad revenue, brands monitoring the social conversation around podcasting will definitely want to pay attention to niche blogs as 36.2% Forward looking brands will definitely want to stay focused on the ever-evolving clusters of conversation out on the fringes of the global narrative.

Brands 97

Brands Advertising Trends Consumers 97

datastax

JULY 31, 2019

Keep that in mind when doing the deployment math for your clusters (i.e., OpsCenter and other management automation saved them another $900K, and an added bonus was that they were able to eliminate a MongoDB search cluster with DSE’s integrated search that saved them another $2.7 you can store more data/node that you think). .

Data 65

Data Examples Analysis Course 65

Optimove

OCTOBER 18, 2018

In this case, we used cluster analysis to identify these customers. The example below shows how a simple cluster analysis discovers Enthusiasts based on Max Item Price and Average Item Price: Each dot in the plot represents a customer. In this plot, we created five clusters based on these attributes.

e-support 40

e-support Analysis Ecommerce Brands 40

NetBase

APRIL 9, 2020

With uncertainty all around us, the time has never been better to do an internal brand analysis, and cosmetic brands have a bevy of untapped insights to explore. Brands can spend weeks to create a thorough analysis – and by then, it’s entirely outdated. Customer Engagement Metrics Amplified.

Brands 60

Brands Social Media Fashion CRM 60

Clarivate

SEPTEMBER 27, 2022

In our blog series about Highly Cited Researchers and the UN Sustainable Development Goals (SDGs), we turn our attention to SDG 6: Clean Water and Sanitation. Using the Web of Science , we created a tree map to demonstrate the primary citation clusters represented in these Highly Cited Papers.

Government 98

Government Policies Resources Report 98

NetBase

SEPTEMBER 4, 2020

It will also capture consumer and market intelligence from review sites, comments, blogs, forums and any seamlessly integrate a brands’ internal data sources as well. Advanced AI will make connections with other emerging ideas that are semantically similar and offer up conversational clusters that provide competitive intelligence brands need.

Tools 98

Tools Brands Ecommerce Advertising 98

Optimove

JULY 30, 2020

By combining these two data points, the historical basket value with the realtime trigger can easily segment customers into multiple tiers or group different clusters together into tiers—for example, low, medium, and high. . One of the products of this deep analysis process is a customer profile containing hundreds of customizable attributes.

Data 52

Data Marketing Ecommerce System 52

SurveySparrow

APRIL 1, 2021

And this is exactly where we want to help you with this blog. Here, we’ll start with the simplest one and notice that the more complex an analysis gets, the more value it brings. . It uses the insights from descriptive and diagnostic analytics to detect clusters, exceptions and to predict future trends. Very well, then.

Analytics 52

Analytics Data Analysis Technology 52

AWS Machine Learning

FEBRUARY 24, 2023

Lambda is a serverless compute service that lets us run code without provisioning or managing servers, creating workload-aware cluster scaling logic, maintaining event integrations, and managing runtimes. In this blog post we discussed using computer vision on satellite imagery.

Effort Score 84

Effort Score Data Training Video 84

SmartMessage Blog

OCTOBER 27, 2022

For this reason, customer analysis has become very important in the marketing world. It has become an inevitable strategy to identify people at different stages from the analysis and to try to take relevant actions. After the digital revolution in the marketing world, customer analysis has become very important.

Customer Journeys 40

Customer Journeys Customer Experience Omni-Channel Analysis 40

AWS Machine Learning

JUNE 28, 2022

This model is the product of recent Amazon Science research ( paper and official blog post here) and has been widely adopted by the ML community, with various third-party implementations ( Keras , AutoGluon ,) and social media features such as tweets , towardsdatascience , medium, and Kaggle.

Data 78

Data Training Conference Multi-Channel 78