TrendMiner Features
Statistical Tool (3)
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Scripting
Supports a variety of scripting environments
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Data Mining
Mines data from databases and prepares data for analysis
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Algorithms
Applies statistical algorithms to selected data
Data Analysis (4)
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Analysis
Analyzes both structured and unstructured data
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Data Interaction
Interacts with data to prepare it for visualizations and models
Time Series Analysis
Series of data points indexed in time order
Trend Analysis
Review data from past periods to reveal recurring tendencies and predict future performance
Decision Making (5)
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Modeling
Offers modeling capabilities
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Data Visualizations
Creates data visualizations or graphs
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Report Generation
Generates reports of data performance
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Data Unification
Unifies information on a singular platform
Customizable Reports
Alter the layout and content of reports
Data Management (5)
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Aggregation
Consolidate manufacturing information from multiple sources
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Data Models
Structure data using hierarchies to make it easier to use and manage
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Propagation
Ability to trasnfer data between shop floor systems and software products
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Data Collection
Provide features for manual and automated data collection
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Cleansing
Process manufacturing information to remove errors and duplicated data
Analytics (8)
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KPIs
Include standard KPIs to monitor manufacturing quality
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Real Time
Deliver real time data on manufacturing operations and processes
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Dashboards
Customizable dashboards display KPIs and metrics in real time
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Queries
Run detailed queries for searching, sorting, and analyzing data.
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Dashboards
Create personalized dashboards for observing and interacting with data.
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Visualizations
Contains tools to visualize data sets or workflows.
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Insights
Offers actionable insights or relevant findings from unstructured data sets.
Data Visualization
Graphical representation of data
Data Sources (3)
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Pre-Built Connectors
Provides useful pre-defined data connections to various types of IoT sensors and objects.
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API
Provides a robust external interface for integrating data, logic and workflows with other software applications.
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Performance and Stability
Maintains an efficient, reliable data flow with established sources.
Metrics (4)
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For IoT Devices
Specialized for devices with sensors and processing ability to connect and exchange data over the internet
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Operational Performance
Learn about overall operational performance from device observations.
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Environmental Conditions
Make observations about environmental and workplace conditions.
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Resource Usage
Measure the usage of and/or demand for various resources.
Generative AI (3)
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AI Text Generation
Allows users to generate text based on a text prompt.
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AI Text Summarization
Condenses long documents or text into a brief summary.
Generative AI
Use AI to generate content in the form of text, images, videos, etc.
Agentic AI - Manufacturing Intelligence (1)
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Proactive Assistance
Anticipates needs and offers suggestions without prompting
Additional Functionality (54)
Configuration Management
Identify component attributes like servers, hardware, software, and manage relationships across all services
Data Synchronization
Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency
Reporting & Statistics
Collection, analysis, and representation of numerical data and generation of reports to understand various patterns
Asset Tracking
Monitor the usage of assets, such as equipment, tools, software, etc., throughout their lifecycle
Analytics
Tools for the systematic analysis of various types of data or statistics
Real-Time Reporting
Active reporting of data and metrics
Data Extraction
Automatically retrieve and pull information from documents, websites, images, data sets, and other sources
Data Collection
Process of gathering, measuring, and analyzing accurate data
Real-Time Data
Receive data and information in real time
Trend Analysis
Review data from past periods to reveal recurring tendencies and predict future performance
Activity Tracking
Track and document all activities across devices, networks, and other systems
Generative AI
Use AI to generate content in the form of text, images, videos, etc.
Multiple Data Sources
Allows users to manage data from a number of sources
Data Management
Ability to handle large datasets
Predictive Analytics
Predict future data based on historical data sets
Big Data Analytics
Examine large amounts of data to uncover hidden patterns, correlations, and other insights
Visual Analytics
Interact with data visualization elements, such as charts and graphs, to drill down into data
Alerts/Escalation
System alerts about the need to escalate an issue or request
Real-Time Monitoring
Active monitoring of systems, applications, or networks
Real-Time Notifications
Notifications that are delivered to users as soon as an event occurs
ETL
Process of extracting, transforming, and loading data
Real-Time Analytics
Analyze and gain insights into data in real-time
Monitoring
Observe and track the demand, usage, progress or quality of a system, product, or user
Connectivity Management
Critical link between devices, network, and reliable delivery of IoT data.
Performance Analysis
Monitor and analyze the performance and status of a server or system/application
Status Tracking
Track the status over time for a request, process, asset, or transaction
AI Copilot
A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users
Demand Forecasting
Forecast customer demand using historical insights and simulations
AI/Machine Learning
Software program that continuously adjusts its behavior based on observed data
Drag & Drop
Assemble applications and processes by dragging over and arranging pre-built components
For Healthcare
Software designed for the healthcare industry
Forecasting
Form predictions based on past and present data/trends
Data Extraction
Automatically retrieve and pull information from documents, websites, images, data sets, and other sources
Third-Party Integrations
Set up connections to third-party platforms to improve business processes
Decision Support
Tools that provide relevant information at specific times to support judgments and courses of action
Modeling & Simulation
Using physical, mathematical, or logical models as a basis for simulations to generate data for managerial or technical decision-making
Alerts/Notifications
Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges
Reporting/Analytics
View and track pertinent metrics to find patterns and gain insights from data
Multiple Data Sources
Allows users to manage data from a number of sources
For Retail
For Retail Stores
For Education
Used for educational purposes
Data Discovery
Discover and connect variety of data sources to the application for analysis
Graphical Workflow Editor
Create, design and modify the flow and processes of tasks in a project
Performance Metrics
A set of indicators that tracks the performance of networks, applications, systems, teams, etc.
Business Rules Management
Define and maintain business rules that determine workflow capabilities and criteria
AI Copilot
A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users
Natural Language Processing
Process and analyze human language in text or audio form
Data Transformation
Translate EDI formats into data suitable for use with company applications.
Data Clustering
Clustering or grouping objects based on data similarities
API
Application programming interface that allows for integration with other systems/databases
Data Blending
Merge data from multiple sources to a single data set
Data Classification
Grouping log entries based on similar attributes.
Workflow Management
Create, design and manage workflows for repetitive tasks
Workflow Automation
Streamlining repetitive tasks and activities through automated and predefined workflows
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