Name: Omniscope
Price: 59 USD
Author: Visokio

Help Desk

Web and Video Conferencing

Customer Support

AI Code Generation

AI Development

Cross-Browser Testing

Functional Testing

PHP Frameworks

Development

Online Proctoring Software

Education

Business Intelligence (BI)

Case Management

Collaboration

Contract Analysis

Whistleblowing

Enterprise

Accounting

Financial Planning and Analysis (FP&A)

SaaS Spend Management

Travel Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Talent Intelligence

Talent Management

Time Tracking

Workforce Analytics

Workforce Management

Human Resources

API Design

Change and Configuration Management

Cloud Storage

Cybersecurity Consulting

Data Center Backup

Data Center Cooling

Data Preparation

Data Warehouse

DevOps

Embedded Database

Fraud Detection

Function as a Service (FaaS)

Integration Platform as a Service (iPaaS)

Managed Security Service

Monolithic Frame-based Disk Arrays

Network Performance Monitoring

Requirements Management

Sensitive Data Discovery

User Virtualization

Virtualization Management

Website Hosting

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Content Marketing

Customer Advocacy

Email Marketing

Marketing Automation

Mobile Marketing

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

AI Meeting Assistants

Project Management

Professional Services

Customer Relationship Management (CRM)

Sales Content Management

Sales

Identity Threat Detection & Response Software

Security

Apparel

Aviation

Direct Secure Messaging

Geographic Information

Healthcare Learning Management

Intelligent Document Processing

Mental Health

Practice Management

Simulation

Text Analysis

Vertical-Specific

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Omniscope, developed by Visokio Ltd, is a self-service business intelligence platform that aims to provide unified data processing, analytics, and reporting capabilities. This versatile tool is positioned as suitable for companies of various sizes, ranging from small businesses to large enterprises. According to the vendor, Omniscope caters to a wide range of professionals and industries, including data managers, data scientists, data analysts, business managers, and marketing professionals.

## Key Features

**Unified Data Processing, Analytics, and Reporting**: Omniscope is said to offer a complete solution for data processing, analytics, and reporting, allowing users to seamlessly move from data loading to analysis to visualization.

**ETL (Extract, Transform, Load)**: Omniscope includes ETL capabilities, enabling users to build workflows to extract, transform, and load data from various sources, such as Excel, CSV, JSON, XML, and more.

**Analytics**: Omniscope offers a range of advanced analytics functionalities, including regression, clustering, prediction, forecasting, topic modeling, and network analysis, aiming to empower users to uncover insights and make data-driven business decisions.

**Visualization**: Omniscope provides a wide range of integrated visualizations for exploring and presenting data. Users can create dynamic and interactive reports and share their findings with others.

**Scalable and Collaborative**: Omniscope offers a scalable solution for big data preparation and live querying on SQL databases. It supports multi-user synchronized edits, enabling collaboration on workflows and dashboards.

**Data Source Connectivity**: Users can connect to various data sources, including Google Analytics, Salesforce, Twitter, Reddit, SQL databases, Hadoop, Elasticsearch, and more, aiming to facilitate comprehensive data integration.

**Custom Scripting**: Omniscope supports custom Python and R scripts, providing flexibility for data scientists and analysts to enhance workflows with their own code.

**Machine Learning Algorithms**: With built-in machine learning algorithms and the ability to integrate custom models, users can leverage advanced analytics capabilities to extract insights and uncover patterns in the data.

**Custom JavaScript Views**: Omniscope allows users to create custom JavaScript views using any client-side HTML5 framework or technology, aiming to enable them to design unique and interactive visualizations.


Efficient Data Analysis: Users have praised Omniscope for its ability to efficiently analyze complex data and create advanced metrics. Several reviewers have highlighted the software's capability in handling complex data analysis tasks effectively.

Customizable Dashboarding: Reviewers appreciate the customizable dashboarding tool provided by Omniscope, which allows them to visualize data in a clear and crisp manner. This feature enhances the presentation of data for clients and internal stakeholders.

User-Friendly and Accessible: Users have found Omniscope to be user-friendly and accessible throughout all phases of data processing, from extraction to visualization. The simplicity and efficiency of the software make it suitable for both common users and experts alike.

Relatively New Software: Some users have mentioned that the software is relatively new and has a few bugs, which may require frequent updates. 

High Cost for South African Market: Several reviewers have expressed that the cost of the software is considered high for the South African market.

Limited Customization Options for Dashboards: A common sentiment among users is a desire for more customization options to make the dashboards appear own-branded.

Users of Omniscope have reported successfully utilizing the software to solve complex business problems quickly and cost-effectively. With its versatile capabilities, Omniscope has been applied in various projects, such as analyzing and comparing police forces across European countries, detecting trafficking networks to combat illegal traffic of illicit material, developing deep learning algorithm test sets, simulating profitability for maritime container transport, creating and monitoring performance indicators for complex programs, and managing cigar cellar inventory while analyzing taster preferences.

The ease of use and effectiveness of Omniscope's data manager has garnered high praise from users, allowing them to work with multiple sources and complex data structures effortlessly. Furthermore, the desktop designer app offers top-notch data visualization capabilities, empowering users to present their findings in a visually compelling manner. Additionally, the mobile version of Omniscope provides flexible and quick access to data, offering convenience for users on the go.

One notable aspect mentioned by users is the excellent after-sales support provided for Omniscope. However, it's worth noting that some users have expressed concerns about the limited security model in the web version of the software. Nevertheless, Omniscope's all-in-one functionality as an ETL tool and report publishing platform has proved invaluable for users who need to access various data feeds such as adserver reports and ESRI ArcGIS data.

While there are many advantages to using Omniscope, some users have highlighted a couple of drawbacks. These include the absence of cloud deployment options and the need to install a free viewer in order to view output. Despite these limitations, Omniscope remains a highly regarded tool among those seeking efficient solutions for data analysis and visualization.

Basic

Viewer

Standard User

Developer

ANTserver

Business Intelligence Accelerator

TARGIT

Personal

Team

Department

Organization

Clear Analytics

Omniscope

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Visokio

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.

Omniscope

Overview

What is Omniscope?