Name: ZenOptics
Author: ZENOPTICS

Customer Training

Help Desk

Web and Video Conferencing

Customer Support

Cross-Browser Testing

Feature Management

Product Analytics

Virtual Reality

Development

Business Intelligence (BI)

Collaboration

Contract Analysis

Emissions Management

Payment Facilitation

Workflow

Enterprise

Accounting

Accounts Receivable

CTRM

Travel Management

Treasury Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

API Management

Change and Configuration Management

Cloud Migration

Cloud Storage

Configuration Management

Data Deduplication

Database-as-a-Service (DBaaS)

Fraud Detection

Game Engine

Integration Platform as a Service (iPaaS)

Managed Public Cloud Infrastructure

Migration

Mobile Data Security

Mobile Identity

Network Performance Monitoring

SaaS Management

Sensitive Data Discovery

Software Composition Analysis (SCA)

Time Series Databases

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Content Marketing

Email Marketing

Marketing Automation

Online Reputation Management

Social Media Management

Social Media Publishing

Survey & Forms Building

Web Analytics

Marketing

AI Meeting Assistants

Project Management

Task Management

Professional Services

Customer Relationship Management (CRM)

Lead Generation

Sales Enablement

Sales Incentive Compensation Management

Sales Performance Management

eCommerce Analytics

Sales

Cloud Infrastructure Entitlement Management

Intrusion Detection

Security

Aviation

Banking

Geographic Information

Insurance Agency Management

Insurance Claims Management

Physical Therapy

Vertical-Specific

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ZenOptics Analytics Hub is positioned as a comprehensive solution that aims to serve as a unified hub for business intelligence (BI) and analytics assets. According to the vendor, the product is designed to simplify the consumption and use of analytics assets, enabling users to maximize the value of their investments. It is marketed as suitable for organizations of all sizes and is used across various professions and industries, including business analysts, data analysts, data scientists, marketing professionals, and finance professionals.

## Key Features

**Unified Hub for Your BI and Analytics Assets**: Provides a single catalog that unifies analytics assets from different platforms, making it convenient for users to access and utilize these assets. The product aims to simplify the consumption and use of analytics assets, empowering users to leverage their investments effectively.

**Consumable Experience**: Offers an intuitive interface that allows users to focus on crucial information and guides them to the relevant analytics assets with business context. The product provides personalized search capabilities and access to multiple analytics sources, ensuring users can find the information they need with tailored permissions.

**Flexible and Open Ecosystem**: Brings together BI and analytics resources in one unified hub, enabling seamless integration without complex setups. The product supports integration with a wide range of BI and analytics tools, productivity apps, business apps, and shared storage, providing users with a flexible and open ecosystem.

**Analytics Catalog**: Serves as a curated glossary of analytics content with enhanced metadata, facilitating better understanding of terms, metrics, and key performance indicators. The product offers expanded sourcing options through trending, favorites, and recommendations, ensuring comprehensive search functionality across different source systems.

**Analytics Collaboration**: Provides communication tools for teams to collaborate on analytics assets, fostering knowledge sharing and collaboration. Users can connect with subject matter experts, share resources within established governance and security parameters, and leverage workflow automations and shared workspaces aligned with their business processes.

**Analytics Automation**: Enables users to automate the assembly of analytic assets from the analytics catalog, streamlining complex analyses and business processes. The product improves productivity by offering automated workflows, personalized workspaces for quick access to frequently used assets, and AI-driven recommendations to enhance analytics productivity.

**Analytics Governance**: Facilitates governance oversight for all platforms and users in the BI/analytics ecosystem. The product identifies duplicate and underutilized reports, optimizing analytics resources. It also provides certifications and a BI glossary for standardized terms and understanding, along with a competency center for shared best practices in analytics governance.

**Intelligent Management Capabilities**: Provides cross-platform report details and usage insights, allowing users to track report usage by platform and user. The product offers a TCO dashboard for impact analysis and optimization of analytics investments. It supports enterprise search for easy discovery of analytics assets and provides connectors and integrations with various visualization tools, productivity apps, business apps, databases, and SaaS applications.

Viewer

Standard User

Developer

ANTserver

Business Intelligence Accelerator

TARGIT

Personal

Team

Department

Organization

Clear Analytics

ZenOptics

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ZENOPTICS

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.

ZenOptics

Overview

What is ZenOptics?