Statistical Analysis Software Resources
Articles, Glossary Terms, Discussions, and Reports to expand your knowledge on Statistical Analysis Software
Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find articles from our experts, feature definitions, discussions from users like you, and reports from industry data.
Statistical Analysis Software Articles
How Descriptive Statistics Helps You Better Understand Data
When asked about statistical analysis, people throw around words like numbers and research.
by Devyani Mehta
What Is Data Sampling? How to See the Bigger Picture
When you need an answer and need it fast, wouldn’t it be nice to ask everyone in the world who could help find an answer?
by Mara Calvello
Qualitative vs. Quantitative Data: Which to Use in Research?
Data analysis is broad, exploratory, and downright complex.
by Devin Pickell
Correlation vs. Regression: Key Differences and Similarities
We’ve all heard “correlation doesn’t imply causation,” but what does it really mean?
by Mara Calvello
What Is Actuarial Science? Discover Courses, Jobs, and Salary
If you've always had a knack for mathematics and enjoy applying statistical analysis to solve real-world problems, then a career in actuarial science might be perfect for you.
by Mara Calvello
Null Vs. Alternative Hypothesis
Null and alternative hypotheses are assumptions researchers use during statistical analysis to understand relationships between two or more independent and dependent variables or phenomena. Analysts, researchers, and statisticians use statistical analysis software to perform complex null and hypothesis analysis testing.
by Sudipto Paul
How Statistical Analysis Methods Take Data to a New Level in 2023
If your business isn’t taking a close look at its data, there’s a whole world of possibilities that you're missing.
by Mara Calvello
What Is Regression Analysis? Types, Importance, and Benefits
Businesses collect data to make better decisions.
But when you count on data for building strategies, simplifying processes, and improving customer experience, more than collecting it, you need to understand and analyze it to be able to draw valuable insights. Analyzing data helps you study what’s already happened and predict what may happen in the future.
by Devyani Mehta
What Is Statistical Modeling? When and Where to Use It
You can interpret data in multiple ways.
by Sagar Joshi
Statistical Analysis Software Glossary Terms
Statistical Analysis Software Discussions
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Question on: Base SAS
What is Base SAS used for?
What is Base SAS used for?
Base SAS is the core component of the SAS software suite, providing essential data management and analytics capabilities. It serves as the foundation for building and executing a wide range of data processing, analysis, and reporting tasks.
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Question on: TIMi
What is TIMi Suite used for?
What is TIMi Suite used for?
TIMi is used for 3 main purpose:
- simplify Data Intetration: with native connection to most data sources, our ETL tool makes it easy to join, aggregate, and perform all the tasks without having to write a single line of code, and with total control on processing costs
- Expand Data Preparation capabilities and reduce processing time: our ETL is the fastest in the market, and requires only a small amount of RAM to process even terabytes of data, faster than any other in-ram tool
- simplify Data Science and predictive modeling: whether you need autoML on large information with TIMi Modeler, or access to regular algorithms in a single click, TIMi will do the job.
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Question on: SAS Viya
What is SAS Visual Data Mining and Machine Learning used for?
What is SAS Visual Data Mining and Machine Learning used for?
SAS Visual Data Mining and Machine Learning is mainly used to analyze large data, find patterns, and build predictive models to support better business decisions. It is used to explore data, apply machine learning techniques, and create insights that help organizations make smarter decisions. SAS Visual Data Mining and Machine Learning helps businesses understand their data, predict future trends, and improve performance through advanced analytics.
SAS Visual Data Mining and Machine Learning (VDMML) is a unified, in-memory platform used for end-to-end data science and analytics.
It is primarily used for:
Data Preparation: Cleaning, exploring, and engineering features from massive datasets.
Model Building: Developing predictive models using automated machine learning (AutoML), deep learning, clustering, and traditional statistics.
Visual & Code Interfaces: Allowing users to build models via a drag-and-drop visual interface or by writing code (SAS, Python, R).
Model Deployment: Scaling, managing, and putting machine learning models into production quickly.
Statistical Analysis Software Reports
Mid-Market Grid® Report for Statistical Analysis
Fall 2026
G2 Report: Grid® Report
Grid® Report for Statistical Analysis
Fall 2026
G2 Report: Grid® Report
Enterprise Grid® Report for Statistical Analysis
Fall 2026
G2 Report: Grid® Report
Momentum Grid® Report for Statistical Analysis
Fall 2026
G2 Report: Momentum Grid® Report
Small-Business Grid® Report for Statistical Analysis
Fall 2026
G2 Report: Grid® Report
Enterprise Grid® Report for Statistical Analysis
Summer 2026
G2 Report: Grid® Report
Small-Business Grid® Report for Statistical Analysis
Summer 2026
G2 Report: Grid® Report
Mid-Market Grid® Report for Statistical Analysis
Summer 2026
G2 Report: Grid® Report
Grid® Report for Statistical Analysis
Summer 2026
G2 Report: Grid® Report
Momentum Grid® Report for Statistical Analysis
Summer 2026
G2 Report: Momentum Grid® Report

















