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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 Seeq?
Seeq stands out as the pioneering application dedicated to the analysis of process data. It allows users to search their datasets, enrich them with context, model and cleanse the information, identify patterns, set boundaries, and work together in real-time with time series data. Regardless of your operational data system or process historian—be it OSIsoft®, PI System®, Honeywell’s Uniformance®, Emerson DeltaV and Ovation, or Inductive Automation's Ignition—Seeq can seamlessly connect and begin functioning within minutes. While the current discussions around predictive analytics, machine learning, and data science are prevalent, they often overlook the pressing issues that analytics-focused organizations encounter. Moreover, leveraging the expertise of your existing workforce is essential. Promoting collaboration and capturing knowledge are vital components for enhancing the sharing and effective reuse of analytical efforts. Furthermore, the capability to swiftly disseminate insights to those who need them can significantly drive improvements in outcomes and decision-making processes.
Integrations Supported
APERIO DataWise
AVEVA MES
AVEVA PI System
Amazon Timestream
Aspen InfoPlus
Azure Marketplace
Emerson DeltaV
Emerson Ovation
Honeywell Uniformance
Ignition SCADA
Integrations Supported
APERIO DataWise
AVEVA MES
AVEVA PI System
Amazon Timestream
Aspen InfoPlus
Azure Marketplace
Emerson DeltaV
Emerson Ovation
Honeywell Uniformance
Ignition SCADA
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$1000.00/year/user
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
Seeq Corporation
Date Founded
2013
Company Location
United States
Company Website
www.seeq.com
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
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Manufacturing Intelligence
Aggregation
Analysis
Contextualization
KPIs
Propagation
Visualization