Name: BIMachine
Author: BIMachine

Help Desk

Web and Video Conferencing

Customer Support

Accessibility Testing

Automation Testing

Version Control

Development

Virtual Classroom

Education

AI Document Creation

Business Intelligence (BI)

Calendar

Collaboration

IP PBX

Knowledge Management

Enterprise

Accounting

Budgeting and Forecasting

Financial Planning and Analysis (FP&A)

Financial Research

Financial Risk Management

Trust Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Job Board

Payroll

Talent Intelligence

Talent Management

Time Tracking

Workforce Analytics

Workforce Management

Human Resources

.Net Development

Cloud Storage

Container Security

Deception Technology

Embedded Database

Event Monitoring

Fraud Detection

IT Professional Services

IT Service Providers

Integration Platform as a Service (iPaaS)

Load Testing

Machine Identity Management

Network Diagnostics

Network Performance Monitoring

Office Migration and Repair

Rack Servers

Runtime Application Self-Protection

Service Desk Outsourcing

Telecom Expense Management (TEM)

User Activity Monitoring

Value Stream Management

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Community

Content Management

Digital Experience Intelligence

Email Marketing

Influencer Marketing

Market Research

Marketing Automation

Mobile Analytics

Social Media Management

Survey & Forms Building

Usability Testing

Web Analytics

Wholesale Marketplace

Marketing

Project Management

Professional Services

AI Sales Agent

Customer Relationship Management (CRM)

Sales

Application Security

Cloud Security Posture Management

Identity Threat Detection & Response Software

Security

Estate Planning

Geographic Information

Tour Operator

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

BIMachine is a Business Intelligence Platform designed to support data-driven management. According to the vendor, it caters to small to large-sized companies across various industries. Business Analysts, Data Analysts, IT Managers, Sales and Marketing Managers, and Operations Managers can all benefit from the features and functionalities offered by BIMachine.

## Key Features

**Mobile**: According to the vendor, BIMachine offers a mobile app for iOS and Android, allowing users to access business information on the go and stay connected to their data.

**Presentations**: BIMachine enables users to create interactive presentations with their data and share them with others. The vendor claims that it facilitates effective communication of insights.

**Messenger**: According to the vendor, BIMachine allows users to schedule automated delivery of objects such as analyses and dashboards, ensuring that everyone is informed and up-to-date.

**Dashboards**: BIMachine offers customizable dashboards with analyses, charts, maps, and Key Performance Indicators (KPIs) to visualize important information in one place. The vendor states that users can effortlessly monitor key metrics and performance indicators.

**Alerts**: The vendor claims that BIMachine enables users to set up automated alerts, providing real-time notifications about important business information and fostering a proactive management environment.

**Maps**: BIMachine allows users to create maps using registered addresses and analyze business data in georeferenced maps. According to the vendor, this feature provides valuable insights from the spatial representation of data.

**Analyses**: BIMachine enables users to customize and model their data for better business insights by creating analyses from various data sources. The vendor claims that users can uncover patterns, trends, and correlations to make informed decisions.

**KPIs**: According to the vendor, BIMachine allows users to create, customize, and track Key Performance Indicators (KPIs) in an interactive and automated way, helping monitor business performance and stay on top of goals and targets.

**Connectivity and Integration**: BIMachine offers connectivity and integration capabilities, allowing users to connect and integrate data from various systems, including ERP systems and other sources. The vendor states that users can extract data seamlessly and generate comprehensive analyses and dashboards for a holistic view of their business.

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BIMachine

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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.

Role-Based Security Model

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

BIMachine

Overview

What is BIMachine?