Data Preparation
Workflow Designer
Robust Models
Advanced Analytics & Data Science Simplified
Unlock the Full Power of Data with TIBCO Statistica
TIBCO Statistica is a powerful, scalable, and easy-to-use analytics platform that empowers professionals to explore, visualize, and model data with unmatched flexibility. Whether you’re a data scientist, analyst, researcher, or academic, Statistica brings together advanced statistical techniques, machine learning, and data mining in one unified environment.
At Thinqcell, we provide authentic licensing, expert onboarding, and continuous support to ensure you make the most out of your Statistica experience.
Explore Statistica with Thinqcell
Explore Statistica with Thinqcell
Explore Statistica with Thinqcell
Why Statistica
Intuitive Workflow Design
Drag-and-drop interface makes it easy to build complex analytical workflows—no coding required.
Advanced Statistical Methods
From descriptive stats to multivariate analysis, predictive modeling, and neural networks, it has it all.
Built-in Machine Learning
Automate modeling with tools like decision trees, clustering, and ensemble methods.
Seamless Integration
Integrates easily with R, Python, SQL databases, big data platforms, and cloud services.
Scalable for Enterprises
Suitable for individuals, academic institutions, and large organizations with strict compliance needs.
Real-time Data Analytics
Get instant insights from streaming and batch data with real-time dashboards.
Key Features
Data Preparation
Clean, transform, and enrich data with easy-to-use data wrangling tools.
Advanced Analytics
Run sophisticated statistical tests, modeling, and multivariate techniques.
Machine Learning
Train and validate machine learning models visually without coding.
Visualization
Create interactive charts, heat maps, control charts, and more.
Automation
Automate workflows and reporting for repetitive tasks.
Security & Governance
Enterprise-grade compliance, access control, and audit logging.
Who Uses TIBCO Statistica?
Academicians & Researchers
for advanced statistical modeling and data analysis in research projects.
Government Agencies & NGOs
for data-driven policy planning and program evaluation.
Healthcare & Pharma Professionals
for clinical data analytics and outcome tracking.
Business Analysts
for predictive modeling, market segmentation, and forecasting.
Manufacturing Experts
for Six Sigma, quality control, and process optimization.
Training & Support Options
Beginner to Advanced Training Workshops
Personalized Onboarding & Data Migration
Real-world Case Study Projects
Live Q&A Webinars & Community Forums
System Requirements
- Windows 10 (64-bit)
- Windows Server 2019 (64-bit)
- Windows Server 2022 (64-bit)
These platforms are officially supported for both desktop and server deployments.
- Minimum: 1 GHz processor (32-bit version requires SSE2 instruction set)
- Recommended: 2.0 GHz, 64-bit, quad-core or higher
For optimal performance, especially with large datasets or complex analyses, a higher-speed multi-core processor is advisable.
- Minimum: 4 GB
- Recommended: 8 GB or more
Adequate RAM ensures smooth operation, particularly when handling extensive data or running multiple processes concurrently.
- Installation Space: 10 GB
- Scratch/Temporary Disk Space:
- Minimum: 50 GB
- Recommended: 100 GB or more
Sufficient disk space is crucial for installation, temporary files, and data processing tasks.
Bandwidth: 100 Mbit/s or faster
A stable and fast network connection is essential, especially for enterprise environments or when accessing remote databases.
Software Dependencies
- Microsoft .NET Framework: Versions 3.5 and 4.6.1
- Microsoft Internet Information Services (IIS): Installed and configured to run ISAPI and CGI applications
These components are necessary for certain functionalities within Statistica, including web-based features and integrations.
Third-Party Integration
- Python: Version 3.8 or later
- R: Version 4.2.2
Statistica supports integration with these open-source languages, allowing for extended analytical capabilities.
- Windows 10 (64-bit)
- Windows Server 2019 (64-bit)
- Windows Server 2022 (64-bit)
These platforms are officially supported for both desktop and server deployments.
- Minimum: 1 GHz processor (32-bit version requires SSE2 instruction set)
- Recommended: 2.0 GHz, 64-bit, quad-core or higher
For optimal performance, especially with large datasets or complex analyses, a higher-speed multi-core processor is advisable.
- Minimum: 4 GB
- Recommended: 8 GB or more
Adequate RAM ensures smooth operation, particularly when handling extensive data or running multiple processes concurrently.
- Installation Space: 10 GB
- Scratch/Temporary Disk Space:
- Minimum: 50 GB
- Recommended: 100 GB or more
Sufficient disk space is crucial for installation, temporary files, and data processing tasks.
Bandwidth: 100 Mbit/s or faster
A stable and fast network connection is essential, especially for enterprise environments or when accessing remote databases.
Software Dependencies
- Microsoft .NET Framework: Versions 3.5 and 4.6.1
- Microsoft Internet Information Services (IIS): Installed and configured to run ISAPI and CGI applications
These components are necessary for certain functionalities within Statistica, including web-based features and integrations.
Third-Party Integration
- Python: Version 3.8 or later
- R: Version 4.2.2
Statistica supports integration with these open-source languages, allowing for extended analytical capabilities.
Statistica | Blogs and Articles
13
Mar
Tibco Statistica Uncategorized