Name: TrenData
Price: 4999 USD
Author: TrenData

Help Desk

Web and Video Conferencing

Customer Support

AI Development

Cross-Browser Testing

Interactive Application Security Testing (IAST)

WebOps

Development

Academic Advising

Online Proctoring Software

Education

Audit

Business Intelligence (BI)

Collaboration

Workflow

Enterprise

Accounting

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Leave Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Cloud Brokers

Cloud Cost Management

Cloud Storage

Converged Infrastructure

Database Load Balancing

Fraud Detection

Hyper-Converged Infrastructure

IT Operations Analytics

Integration Platform as a Service (iPaaS)

MLOps

Managed DNS

Network Performance Monitoring

Release Management

Requirements Management

Solid State Drives

Time Series Databases

Tower Servers

Unified Endpoint Management (UEM)

Value-Added Resellers (VARs)

VoIP Monitoring

Website Hosting

Wireless LAN

Information Technology

A/B Testing

AI Writing Assistant Software

Ad Serving & Retargeting

Affiliate

All-in-One Marketing

Brand Intelligence

Content Management

Data Management

Email Marketing

Gamification

Marketing Analytics

Marketing Automation

Mobile Advertising

Online Proofing

Press Release Management

Product Intelligence

Social Media Management

Social Media Marketing

Survey & Forms Building

Video Collaboration

Web Analytics

Marketing

AI Meeting Assistants

Project Management

Professional Services

Customer Relationship Management (CRM)

Lead Generation

Sales

Secure Service Edge (SSE)

Security

Financial Services CRM

HIPAA Compliance

Internet of Medical Things

eDiscovery

Vertical-Specific

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TrenData is an AI-driven analytics platform that, according to the vendor, enables organizations to make data-driven decisions and improve business results. The platform is designed to cater to organizations of all sizes, from small businesses to large enterprises, and is used by various professions and industries, including Human Resources, Finance, Supply Chain Management, Healthcare, Communications & Media. By leveraging advanced algorithms and machine learning techniques, the vendor claims that TrenData helps organizations establish the links between critical events and evolving corporate metrics, allowing them to gain actionable insights and drive business growth.

## Key Features

**AI Driven Analytics**: According to the vendor, TrenData utilizes advanced algorithms and machine learning techniques to provide organizations with actionable insights and predictive modeling. By analyzing data from multiple systems, the platform identifies correlations and patterns that can impact business results, enabling organizations to make informed decisions and potentially drive business growth.

**Built to Suit**: TrenData offers a flexible and customizable solution that, according to the vendor, can be tailored to meet the specific needs of different industries and use cases. The vendor states that their team of data scientists and industry experts collaborates with clients and partners to develop solutions that address unique requirements, potentially optimizing operations and achieving better business outcomes.

**Aggregate Data**: The TrenData analytics platform is designed to easily integrate and aggregate data from multiple systems, allowing organizations to have a comprehensive view of their data ecosystem. According to the vendor, by consolidating data from various sources such as HR systems, finance systems, and supply chain systems, TrenData enables organizations to establish links between critical events and corporate metrics, potentially facilitating data-driven decision-making and improving overall performance.

**Actionable Insights**: TrenData goes beyond traditional reporting by providing comprehensive analytics that offer historical trending and predictive modeling. According to the vendor, organizations can analyze historical data to understand how they arrived at their current state and identify the factors that influenced their results. Leveraging predictive modeling, TrenData enables organizations to forecast future outcomes and potentially take proactive actions to improve productivity and drive business success.

Basic

Viewer

Standard User

Developer

ANTserver

Business Intelligence Accelerator

TARGIT

Personal

Team

Department

Organization

Clear Analytics

TrenData

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BI Platform

Administration via Windows App

Administration via MacOS App

Administration via Web Interface

Live Connection to External Data

Snapshot of External Data

In-memory data model

OLAP (Pre-processed cube representation)

ROLAP (SQL-layer querying)

Multi-Data Source Reporting (Blending)

Data warehouse / dictionary layer

ETL Capability

ETL Scheduler

Supported Data Sources

Data sources that can be consumed by the application.

MS Excel Workbooks

Text Files (CSV, etc)

Oracle

MS SQL Server

IBM DB2

Postgres

MySQL

ODBC

Cloudera Hadoop

Hortonworks Hadoop

EMC Greenplum

IBM Netezza

HP Vertica

ParAccel

SAP Hana

Teradata

Sage 500

Salesforce

Google Analytics

BI Standard Reporting

Standard reporting means pre-built or canned reports available to users without having to create them.

Pixel Perfect reports

Pixel Perfect reports are highly-formatted reports with graphics and ability to preview the report before printing.

Customizable dashboards

Customizable dashboards are dashboards providing the builder some degree of control over the look and feel and display options.

Report Formatting Templates

Ad-hoc Reporting

Ad-Hoc Reports are reports built by the user to meet highly specific requirements.

Drill-down analysis

Drill down analysis is the ability to get to a further level of detail by going deeper into the hierarchy.

Formatting capabilities

Ability to format output e.g. conditional formatting, lines, headers, footers.

Predictive modeling

Predictive modeling is the ability to build future forecasting models.

Integration with R or other statistical packages

Integration with the open-source R predictive modeling environment.

Report sharing and collaboration

Report sharing and collaboration is the ability to easily share reports with others.

Report Output and Scheduling

Ability to schedule and manager report output.

Publish to Web

Publish to PDF

Output Raw Supporting Data

Report Versioning

Report versioning is the assignment of version numbers to each version of a report to help in tracking.

Report Delivery Scheduling

Report Delivery Schedule is the ability to have reports delivered to a destination at a specific data and time.

Delivery to Remote Servers

Ability to deliver reports to remote servers

Data Discovery and Visualization

Data Discovery and Visualization is the analysis of multiple data sources in a search for patterns and outliers and the ability to represent the data visually.

Pre-built visualization formats (heatmaps, scatter plots etc.)

Pre-built visualization formats are canned visualization types that can be selected to visualize different kinds of data.

Location Analytics / Geographic Visualization

Location analytics is the visualization of geographical or spatial data.

Predictive Analytics

Predictive Analytics is the ability to build forecasting models based on existing data sets.

Support for Machine Learning models

Machine learning refers to computer programs that can learn when exposed to new data.

Pattern Recognition and Data Mining

Pattern recognition and data mining mean the ability to recognize hidden patterns in large quantities of data.

Access Control and Security

Access control means being able to determine who has access to which data.

Multi-User Support (named login)

Named model access means that users have access based on name and password.

TrenData

Overview

What is TrenData?