Name: OpenViz
Author: Advanced Visual Systems

Help Desk

Web and Video Conferencing

Customer Support

AI Development

Agile Development

Beta Testing

Product Analytics

Development

Business Intelligence (BI)

Collaboration

Corporate Social Responsibility (CSR)

Emissions Management

Enterprise Asset Management

Online Notary

Transportation & Logistics

Enterprise

Accounting

Travel Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Employee Scheduling

HR Management

Payroll

Talent Intelligence

Talent Management

Technical Skills Assessment

Workforce Analytics

Workforce Management

Human Resources

Blade Servers

Build Automation

Cloud Brokers

Cloud Cost Management

Cloud Storage

Data Lakehouse

Data Mapping

Database Load Balancing

Edge Computing

Email Verification

Fraud Detection

Game Engine

Integration Platform as a Service (iPaaS)

License Management

Mobile Application Performance Monitoring  (APM)

Network Performance Monitoring

Secret Managers

Service Virtualization

Web Content Filtering

Information Technology

A/B Testing

AI Writing Assistant Software

Ad Serving & Retargeting

All-in-One Marketing

Audience Intelligence

Content Management

Customer Journey Analytics

Data Cleansing

Email Marketing

Marketing Automation

Online Proofing

Social Media Management

Survey & Forms Building

Web Analytics

Website Builder

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Headless eCommerce

Sales

API Security

Security Orchestration, Automation and Response (SOAR)

Security

Animal Shelter

Banking

Debt Collection

ID Card

Interior Design

Last Mile Delivery

Legal Case Management

Online Ordering

Spreadsheet

Vendor Neutral Archive (VNA)

Vertical-Specific

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OpenViz, developed by Advanced Visual Systems, Inc., is a Data Visualization API/SDK that aims to go beyond basic charts and enable users to transform data into actionable analytics. According to the vendor, OpenViz is designed for ISV and OEM teams and can be utilized by businesses of various sizes. It is commonly used by professionals in business analysis, data science, software development, financial analysis, and healthcare. 

## Key Features

**Limitless API**: According to the vendor, OpenViz offers a flexible API that allows ISV and OEM teams to create data visualizations beyond basic charts. It enables the incorporation of proprietary models and formulas, providing a dynamic experience for operators and CEOs.

**In-memory data handling**: OpenViz provides in-memory processing, which, according to the vendor, allows users to interact with large and complex data queries and streams in real-time. This feature aims to enable seamless data manipulation and visualization without delays.

**High Scalability**: According to the vendor, OpenViz ensures high performance regardless of the amount of data or its location. It can handle large volumes of data, making information accessible to users worldwide and accommodating the needs of growing organizations.

**Integrate with existing applications**: OpenViz seamlessly integrates with existing applications, allowing users to leverage data from previous investments, according to the vendor. This feature enables the consolidation of data from different sources, providing a comprehensive view of the organization's information.

**Customization and Branding**: OpenViz allows for customization and branding of data visualizations, creating a tailored and consistent experience, according to the vendor. Users can personalize the application to cater to different end-users and standardize the offering across the organization and its customers.

**Data Agnostic**: According to the vendor, OpenViz is designed to handle various types of data, including structured, unstructured, and streaming data. It can effectively work with big data, data warehouses, or cloud technologies, providing insights and analytics regardless of the data format.

Metabase aims to bring data tools with the simplicity of consumer products to the crufty world of enterprise business intelligence. Their open source analytics and business intelligence applications connect to most commonly used databases to let anyone in a company ask questions, and create dashboards or nightly emails without knowing SQL. Metabase Enterprise enables the user to embed branded analytics into customer applications.

Open Source

Starter

Growth

Metabase

Middesk is a business intelligence (BI) software used to onboarded clients working in three primary verticals — Fintech, Credit Reporting, and Business Marketplaces.

Middesk

OpenViz

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Advanced Visual Systems

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.

Report-Level Access Control

Report-level access control means that the type of report determines who has access to it.

Table-Level Access Control (BI-layer)

OpenViz

Overview

What is OpenViz?