Name: ZENPLOT
Author: Addinsoft

Help Desk

Web and Video Conferencing

Customer Support

Version Control

Development

Alumni Management

Education

Business Intelligence (BI)

Collaboration

Contract Management

Enterprise Legal Management

Policy Management

Project Portfolio Management

Enterprise

Accounting

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

HR Service Delivery

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Cloud Storage

Converged Network Adapters (CNAs)

Data Catalog

Data Center Networking

Data Integration

Database Load Balancing

Density-Optimized Servers

Fraud Detection

Integration Platform as a Service (iPaaS)

Managed DNS

Managed File Transfer (MFT)

Managed Hosting

Mobile Application Performance Monitoring  (APM)

Mobile Device Management (MDM)

Network Diagnostics

Network Performance Monitoring

NoSQL Databases

Observability

Server Management

Time Series Databases

Unified Endpoint Management (UEM)

Information Technology

A/B Testing

Account-Based Marketing (ABM)

Ad Serving & Retargeting

All-in-One Marketing

Audio Editing

Content Management

Contest Management

Customer Journey Analytics

Digital Asset Management

Email Marketing

Marketing Analytics

Marketing Automation

Mobile Advertising

Mobile Analytics

Press Release Management

Product Information Management (PIM)

Social Media Analytics

Social Media Management

Survey & Forms Building

Video Collaboration

Web Analytics

Marketing

Project Management

Wireframing

Professional Services

Call Recording

Customer Communication Management

Customer Relationship Management (CRM)

Presales

Sales

Civil Engineering

Construction Workforce Management

Dental

Loan Servicing

Patient Engagement

Revenue Cycle Management (RCM)

Vertical-Specific

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ZENPLOT is a data visualization software aimed at helping organizations of various sizes convert their raw data into meaningful visual representations. According to the vendor, ZENPLOT caters to a wide range of professionals and industries, including data analysts, researchers, scientists, marketing professionals, financial analysts, business analysts, and engineers. The software offers various features to meet visualization needs.

## Key Features

**Data Import**: According to the vendor, ZENPLOT allows users to easily import one or several datasets from various sources, including Excel, CSV, and text files. The software supports the import of large datasets, enabling users to work with extensive data sets.

**Data Visualization**: Users can choose from a range of visualization options, including scatter plots, line charts, bar charts, heatmaps, area charts, histograms, labels, and annotations. The software allows for customization of visualizations by stacking different graphic layers and offers tools to customize axes, legends, colors, and shapes.

**Annotations**: ZENPLOT provides the ability to enhance visualizations by adding images, text, or shapes to highlight specific data points, provide additional context, or communicate key insights. According to the vendor, annotations improve the clarity and interpretability of the visualizations.

**Export Options**: Users can export their visualizations in .PNG or .SVG formats for easy sharing with colleagues, stakeholders, or inclusion in reports and presentations. The vendor claims that ZENPLOT ensures high-quality exports, preserving the visual integrity of the charts.

**Themes**: ZENPLOT offers a variety of predefined themes that users can choose from to customize the visualizations. According to the vendor, themes provide flexibility and enable users to create visually appealing and consistent visualizations by changing colors, fonts, and overall style.

**Statistical Analysis**: The software includes a comprehensive set of statistical analysis tools, allowing users to perform various statistical tests and calculations. According to the vendor, users can conduct descriptive statistics, hypothesis testing, regression analysis, ANOVA, t-tests, chi-square tests, factor analysis, cluster analysis, principal component analysis (PCA), and time series analysis. The software also provides options for data transformation, outlier detection, and missing data handling.

**Data Preprocessing**: ZENPLOT allows users to efficiently preprocess their data before analysis and visualization. Users can clean and filter their data, handle missing values, and deal with outliers. The software supports data transformation techniques such as normalization, standardization, and log transformation. Additionally, ZENPLOT provides options for data merging, splitting, and reshaping.

**Data Import and Export**: According to the vendor, ZENPLOT supports seamless data import from various file formats, including Excel, CSV, SPSS, and more. Users can easily import their data into the software, eliminating the need for manual data entry. The software also allows users to export their analysis results and visualizations to different file formats, such as PDF, Excel, and image files. ZENPLOT ensures compatibility with other software, facilitating data sharing and collaboration.

**Automation and Reproducibility**: ZENPLOT offers automation features to streamline repetitive tasks and improve productivity. Users can create scripts and macros to automate data analysis and visualization processes. According to the vendor, the software allows users to save and reuse analysis templates, ensuring reproducibility and consistency in their work. The automation capabilities of ZENPLOT are claimed to help users save time and reduce the risk of errors in their analyses.

Viewer

Standard User

Developer

ANTserver

Business Intelligence Accelerator

TARGIT

Personal

Team

Department

Organization

Clear Analytics

ZENPLOT

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Addinsoft

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.

ZENPLOT

Overview

What is ZENPLOT?