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What is Trend Miner?
Are you truly maximizing the capabilities of your CRM data? Can your CRM users effortlessly extract and analyze trends over various timeframes? Meet Trend Miner, an intuitive business intelligence visualization tool crafted specifically for Microsoft® Dynamics™ CRM. This innovative solution allows users to explore historical CRM data and effectively visualize the trends that are emerging. Trend Miner broadens its analytical capabilities to include all custom entities within your organization, empowering deeper insights. Instead of just capturing a momentary view of your CRM data, Trend Miner enables users to conduct comprehensive trend series analysis across the full breadth of Microsoft Dynamics CRM data. With a quick installation process that takes only minutes, you can gain immediate insights from your CRM data. If you've been utilizing CRM for a while, you'll discover that Trend Miner transforms your historical data presentation in remarkable ways right after installation. The tool integrates seamlessly with standard Dynamics CRM entities and fields, facilitating the swift visualization of essential data, including Opportunities, Leads, Accounts, Contacts, Cases, and Campaigns, ensuring that important trends are never overlooked again. This means users can make informed decisions more quickly and effectively than ever before, leveraging their CRM data to its fullest potential.
What is NetOwl TextMiner?
NetOwl TextMiner combines the renowned NetOwl Extractor with Elasticsearch to provide a cutting-edge text analytics platform. This software leverages the comprehensive capabilities of NetOwl, making it ideal for executing "what if" scenarios, engaging in discovery processes, supporting rapid investigations, and conducting in-depth research. By integrating all the text analytics tools from the NetOwl Extractor—such as entity extraction, relationship and event extraction, sentiment analysis, text categorization, and geotagging—TextMiner offers a robust text mining solution. The outcomes produced by the Extractor are efficiently stored within Elasticsearch, which enhances the system with a variety of intelligent search and analytical functions. The collaboration between Elasticsearch and NetOwl guarantees swift and scalable real-time text analysis, making it suitable for managing Big Data projects. Additionally, TextMiner features a user-friendly web interface that can be easily customized to meet diverse analytical requirements, allowing users to quickly extract the most pertinent insights from large text collections. This flexibility not only improves user experience but also facilitates more specialized analyses across different fields, catering to the unique needs of various industries.
Integrations Supported
ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Microsoft Dynamics 365
Palantir Apollo
SolrCommerce
Tableau
Integrations Supported
ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Microsoft Dynamics 365
Palantir Apollo
SolrCommerce
Tableau
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Trend Miner
Date Founded
2013
Company Location
Canada
Company Website
www.trendminer-xrm.com/features.php
Company Facts
Organization Name
NetOwl
Date Founded
1996
Company Location
United States
Company Website
www.netowl.com/text-mining
Categories and Features
Sales Analytics
Collaboration Tools
Dashboards
Forecasting Analytics
Ideal Customer Profile (ICP)
Lead Analytics
Pipeline Management
Predictive Forecasting
Predictive Lead Scoring
Sales Intelligence Reporting
Categories and Features
Text Mining
Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering