TrendMiner Features

Supports a variety of scripting environments

Mines data from databases and prepares data for analysis

Applies statistical algorithms to selected data

Analyzes both structured and unstructured data

Interacts with data to prepare it for visualizations and models

Offers modeling capabilities

Creates data visualizations or graphs

Generates reports of data performance

Unifies information on a singular platform

Consolidate manufacturing information from multiple sources

Structure data using hierarchies to make it easier to use and manage

Ability to trasnfer data between shop floor systems and software products

Provide features for manual and automated data collection

Process manufacturing information to remove errors and duplicated data

Include standard KPIs to monitor manufacturing quality

Deliver real time data on manufacturing operations and processes

Customizable dashboards display KPIs and metrics in real time

Run detailed queries for searching, sorting, and analyzing data.

Create personalized dashboards for observing and interacting with data.

Contains tools to visualize data sets or workflows.

Offers actionable insights or relevant findings from unstructured data sets.

Provides useful pre-defined data connections to various types of IoT sensors and objects.

Provides a robust external interface for integrating data, logic and workflows with other software applications.

Maintains an efficient, reliable data flow with established sources.

Track the individual performance of connected devices.

Learn about overall operational performance from device observations.

Make observations about environmental and workplace conditions.

Measure the usage of and/or demand for various resources.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Anticipates needs and offers suggestions without prompting