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What is winHR?

winHR is an ideal platform for centralizing all your HR information into one comprehensive database, enabling multiple users to access, input, and retrieve data concurrently while fulfilling their specific HR functions. This system significantly improves task delegation among HR staff and managers by allowing equitable access to shared information, customized according to their individual permissions and access levels. Specifically designed for Australian businesses and aligned with local compliance standards, winHR caters to the distinct requirements of the market. To meet different reporting complexities, winHR incorporates four integrated reporting features: Smart Grids, Report Viewer, Report Builder, and Graph Viewer, most of which are user-friendly and capable of satisfying the majority of reporting needs. Furthermore, winHR provides its own ODBC Driver, allowing users the flexibility to work with alternative reporting tools. Notably, Report Builder emerges as a highly advanced feature that can tackle nearly any reporting challenge, including cross-tabulations and form merging. In summary, winHR not only streamlines HR operations but also equips users with a range of adaptable reporting solutions to cater to various business demands, enhancing overall efficiency and effectiveness in HR management.

What is FastCube VCL?

FastCube is not just a new iteration of the "Decision Cube" or merely a Pivot Grid control; it stands as a powerful, independent OLAP-cube engine designed for high-speed performance. By incorporating the FastCube OLAP library into your application, you can effectively prepare data or multiple datasets for your users, thus delivering Business Intelligence seamlessly within your app! This empowers your end-users to have complete authority in generating reports, facilitating better decision-making. The FastCube VCL package is specifically designed for crafting pivot table reports and is compatible with Delphi versions 7 through XE8, C++Builder 2005 to XE8, Embarcadero RAD Studio 10 to 11, and Lazarus. Gone are the days when customers needed Excel spreadsheets for cross-tab and multi-dimensional data analyses. FastCube's components are simple to integrate into existing applications, and users can create reports without needing extensive programming skills. It is a comprehensive suite of OLAP Desktop components tailored for Delphi, ensuring that anyone can harness the power of data analysis effortlessly. FastCube truly revolutionizes the way organizations handle their data reporting needs.

Media

Media

Integrations Supported

FastCube .NET
FastCube FMX
FastReport VCL
MySQL
PostgreSQL
RAD Studio
SQLite

Integrations Supported

FastCube .NET
FastCube FMX
FastReport VCL
MySQL
PostgreSQL
RAD Studio
SQLite

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$199.00/developer
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Favour

Company Website

www.favour.com.au/winhr/

Company Facts

Organization Name

Fast Reports

Date Founded

1998

Company Location

United States

Company Website

www.fast-report.com

Categories and Features

Human Resources

360 Degree Feedback
Applicant Tracking
Attendance Management
Benefits Management
Career Development Planning
Compensation Management
Compliance Management
Employee Database
Employee Lifecycle Management
Onboarding
Payroll Management
Performance Management
Recruiting Management
Self Service Portal
Succession Planning
Time & Attendance Management
Time Off Management
Timesheets
Training Management

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

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