Name: Transitiv
Author: Transitiv

Customer Training

Help Desk

Web and Video Conferencing

Customer Support

Batch Management Software

Functional Testing

Development

Business Intelligence (BI)

Collaboration

Data Extraction

Dropshipping

Emissions Management

Intellectual Property (IP) Management

Privacy Policy Generators

Statistical Analysis

Workflow

Enterprise

Accounting

Accounts Payable

Crypto Tax

Online Trading

Subscription Management

Treasury Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Compliance

HR Management

Payroll

Relocation

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

AI Agent Builder

AI Governance

Authorization

Cloud Storage

Custom Software Development Services

Data Center Virtualization

DevSecOps

Fraud Detection

Infrastructure-as-Code (IaC)

Integration Platform as a Service (iPaaS)

Managed Public Cloud Infrastructure

Network Performance Monitoring

Secure Email Gateway

Sensitive Data Discovery

Session Border Controllers

System Monitoring

Time Series Databases

Tower Servers

Web Portal

Information Technology

A/B Testing

AI Image Generation

Ad Serving & Retargeting

All-in-One Marketing

Audience Engagement

Content Management

Email Marketing

Market Intelligence

Marketing Automation

Social Media Advertising

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Lead Generation

Lead-to-Account Matching and Routing

Sales Enablement

Sales

Cloud Infrastructure Entitlement Management

Secure Service Edge (SSE)

Security

Architecture

Banking

Digital Forensics

Financial Services CRM

Internet of Medical Things

Vertical-Specific

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Priority Matrix

Appfluence

eMeetingsOnline

FastPIPE

FastEST, Inc.

ReportsNow

AspenOne Supply Chain Management

Aspen Technology

Crowdtap

Document Locator

ColumbiaSoft

Frosmo

Frosmo Ltd

Azurepath

Azurepath, LLC.

Aras PLM

Aras Corporation

Transitiv is a business intelligence tool for franchise operations, from the company of the same name headquartered in Dallas, Texas. Transitiv’s proprietary FIT Score tracks the pulse of the user's franchise, aggregates the leading indicators of performance into a single metric, and reveals the health of franchise locations—and the system as a whole, with real-time performance notification alerts.

Personal

Team

Department

Organization

Clear Analytics

Pivot Table for Pentaho Mondrian

Pivot Table for SQL/CSV/JSON Unlimited

Pivot Table for MS Analysis Services

Pivot Table for SQL/CSV/JSON Basic

Flexmonster Pivot Table & Charts Component

Transitiv

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Business Intelligence (BI) solutions help to unlock deeper insights and drive smarter decisions. Tailored for data-savvy professionals, BI platforms seamlessly transform complex datasets into actionable intelligence and leverage cutting-edge analytics, interactive dashboards, and real-time reporting to uncover hidden trends, optimize performance, and gain a competitive edge. Explore user reviews and comparisons to find the right BI tools to elevate your strategic planning and empower your enterprise.

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.

Role-Based Security Model

Role-based access means that access to data is determined by job or position in the corporation.

Multiple Access Permission Levels (Create, Read, Delete)

Multiple access permission levels means that different levels of users have different rights.

Transitiv

Overview

What is Transitiv?