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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Dimension Labs provides a cutting-edge platform for customer observability and language data infrastructure that transforms unstructured conversational data from various channels such as chat, email, voice, surveys, and social media into structured insights ready for analytics. By leveraging AI-driven enrichment and dynamic labeling, it removes the necessity for manual tagging, effectively highlighting changing themes, customer sentiments, reasons for escalations, and requests for features. This platform consolidates inputs from multiple channels under a unified model, offering real-time dashboards, drill-down features, and context-aware analytics, which enables teams to investigate root causes, track emerging trends, and link conversation metrics to overall business results. Furthermore, Dimension Labs facilitates integration through APIs or one-click connectors with a variety of tools, including chat applications, CRMs, contact centers, survey systems, and social media platforms, ensuring effortless data ingestion from sources like Intercom, Twilio, and Slack. As a result, organizations can gain deeper insights into customer interactions and enhance their decision-making processes.

Description

Centralize, transform, and store your data seamlessly. Logstash serves as a free and open-source data processing pipeline on the server side, capable of ingesting data from numerous sources, transforming it, and then directing it to your preferred storage solution. It efficiently handles the ingestion, transformation, and delivery of data, accommodating various formats and levels of complexity. Utilize grok to extract structure from unstructured data, interpret geographic coordinates from IP addresses, and manage sensitive information by anonymizing or excluding specific fields to simplify processing. Data is frequently dispersed across multiple systems and formats, creating silos that can hinder analysis. Logstash accommodates a wide range of inputs, enabling the simultaneous collection of events from diverse and common sources. Effortlessly collect data from logs, metrics, web applications, data repositories, and a variety of AWS services, all in a continuous streaming manner. With its robust capabilities, Logstash empowers organizations to unify their data landscape effectively. For further information, you can download it here: https://sourceforge.net/projects/logstash.mirror/

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Salesforce
X (Twitter)
Amazon CloudWatch
Amazon Kinesis
Apache CouchDB
Avaya Cloud Office
Beats
Capacity
Cognigy.AI
Coralogix
Dash0
DataCore Swarm
Facebook Messenger
IRI Voracity
Observe
Rasa
Slack
Squadcast
Stamus Networks

Integrations

Salesforce
X (Twitter)
Amazon CloudWatch
Amazon Kinesis
Apache CouchDB
Avaya Cloud Office
Beats
Capacity
Cognigy.AI
Coralogix
Dash0
DataCore Swarm
Facebook Messenger
IRI Voracity
Observe
Rasa
Slack
Squadcast
Stamus Networks

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Dimension Labs

Country

United States

Website

www.dimensionlabs.io

Vendor Details

Company Name

Elasticsearch

Founded

2012

Country

United States

Website

www.elastic.co/logstash

Product Features

Product Features

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

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