What is Statistical Analysis Software?

Statistical analytics tools inform data-driven decisions, whether that be in a research or business context. Enterprises have started to recognize the importance of accessing and combining all business-critical data to get a better understanding of how a company performs. Connecting disparate systems to make data consumable is a complex process, but once done, businesses are enabled to utilize statistical analytics solutions along with other data analysis techniques. This helps them visualize and interpret the data in an easily digestible manner. A business cannot transform into a digitally native enterprise until it uses its data to make intelligent decisions. These data-driven decisions provide an important edge and help separate a business from its competitors. Medium and large companies are facing unprecedented challenges when managing and analyzing data. Some of these challenges are the exponential growth of the volume of enterprise data and its increasing complexity caused by new technologies like social media and the internet of things (IoT). To address these challenges, companies need to gather and analyze large volumes of data, both structured and unstructured, from different sources. Companies need to find trends and patterns in historical data while identifying future opportunities and risks. They also cannot afford to spend a lot of time analyzing data which loses its relevance quickly. Advanced statistical procedures and visualization provide a robust, user-friendly, and integrated platform to understand business data and solve complex business and research problems. What Types of Statistical Analysis Software Exist? Statistical analysis comes in many different flavors with each type being appropriate or beneficial for different use cases. Although the methods are many, the ultimate goal of the analysis is broken into three types: descriptive, prescriptive, and predictive. Descriptive analysis simply looks at the data as it is, but does not refer to or recommend any future outcome. Prescriptive analysis uses historical data to recommend a particular outcome. Finally, predictive analysis uses historical data to predict future data or outcomes. Apart from these broad methods, statistical analysis software can perform the following types of analysis: Regression analysis This type of analysis allows for conducting various regression methods such as ordinary least squares (OLS), weighted least squares (WLS), or generalized linear model (GLM). Predictive analytics Predictive analytics mines and analyzes historical data patterns to predict future outcomes by extracting information from data sets to determine patterns and trends. Using a range of statistical analysis and algorithms, analysts use predictive analytics products to build decision models which business managers use to plan for the best possible outcome. Survival analysis This type of analysis allows for the evaluation of durations, events, and reliability in relation to statistical analysis. Time series analysis Time series analysis allows users to identify patterns within massive, continuous time series data sets to perform reporting, forecasting, and predictive analysis. Bayesian analysis This method of statistical inference allows one to combine prior information about a statistical parameter with evidence from information contained in a sample to guide the statistical inference process. Decision trees One common type of classification model is a decision tree. These models predict a number of possible outcomes based on a variety of inputs. For example, if a sales team builds $1 million in pipeline, they can close $100,000 in revenue, but if they build $10 million in pipeline, they should be able to close $1 million in revenue.

What are the Common Features of Statistical Analysis Software?

Statistical analysis tools allow users to mine and analyze structured or unstructured data. Through the process of analysis, data sets and visualizations are created from the compiled data. Data preparation: To analyze the data, it must be properly cleaned and should be of high quality. This preparation consists of deduplication, cleansing, and appending the data for statistical analysis. Not all analysis is achieved at the surface. Instead, robust statistical analysis tools mine data from databases and prepare it for analysis. Data sampling: Data sampling allows users to select samples of data for defined procedures. Statistical modeling: Statistical modeling involves creating a mathematical model that embodies a set of statistical assumptions concerning the creation of sample data which may be used to get a better idea about the makeup and distribution of the data. Hypothesis testing: Statistical analysis tools often provide hypothesis testing features to ensure the analysis is consistent with the data and correct based on predetermined factors. This helps the researcher, data scientist, or statistician evaluate the outcome based on their initial hypothesis. Data visualization: In addition to numerical inputs and outputs, statistical analysis software frequently allows the user to visualize results by means of graphs, charts, and reports. This not only helps the end user better understand them but also aids with communicating these results with the broader company.

What are the Benefits of Statistical Analysis Software?

Irrespective of the type of complex data manipulation or analysis being performed, statistical analysis tools enable statisticians or business professionals to find correlation, regression, analysis of variance, and more with ease. With these insights in hand, businesses can make sense of their data and make informed decisions based on it. These tools help identify duplicates and unusual cases that may arise during data cleaning and data curation and get detailed data analysis reports. Manage large volumes of data: Statistical analysis software gives one the ability to easily prepare, blend, and analyze company data using a repeatable workflow, then deploy and share analytics at scale for deeper insights. Gain insight into company data: Through data mining and statistical analysis, especially when coupled with other technology such as machine learning, data professionals are able to gain insights into data. Better understand potential outcomes and scenarios: With statistical analysis, especially of the predictive variety, businesses better understand how different variables will affect them and are able to plan accordingly.

Page 3 | Best Statistical Analysis Software: User Reviews from October 2026

SigmaPlot

SigmaPlot is a comprehensive scientific software designed to meet the needs of scientists, professional researchers, and engineers by facilitating advanced data analysis and visualization. Its award-winning interface and intuitive wizard technology guide users step-by-step through graph creation and data analysis, enabling the production of high-quality graphs and statistical analyses that surpass the capabilities of standard spreadsheet software. Key Features and Functionality: - Extensive Graphing Options: Offers over 100 types of 2-D and 3-D technical graphs, including scatter plots, contour plots, radar plots, and dot density plots, allowing users to select the most appropriate visual representation for their data. - Advanced Curve Fitting: Provides powerful curve-fitting capabilities with 155 built-in functions, including non-linear, dynamic, and global fitting options, enabling precise modeling of complex data sets. - Comprehensive Statistical Analysis: Includes more than 50 statistical tests, such as t-tests, ANOVA, and regression analysis, with features like Welch’s t-test and frequency tables, ensuring robust data analysis. - Large Data Handling: Supports worksheets with up to 32 million rows and 32,000 columns, accommodating extensive data sets for in-depth analysis. - User-Friendly Interface: Features a customizable ribbon interface, interactive graph wizards, and a notebook manager for efficient organization and editing of worksheets and graphs. - Seamless Integration: Offers compatibility with Microsoft Office, allowing easy import and export of data between SigmaPlot and Excel, as well as integration with PowerPoint for presentations. Primary Value and User Solutions: SigmaPlot addresses the challenges faced by professionals requiring precise and effective data visualization and analysis. By offering a wide array of graphing options, advanced curve-fitting techniques, and comprehensive statistical tools, it enables users to transform complex data into clear, publication-quality graphs and reports. This capability enhances the communication of research findings, supports informed decision-making, and streamlines the workflow of scientists and engineers across various disciplines.

Average Rating: 4.3/5.0

Total Reviews: 23

How Do G2 Users Rate SigmaPlot?

Quality Control: 8.9/10 (Category avg: 8.3/10)
Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.7/10)
Survival Analysis: 9.4/10 (Category avg: 8.4/10)
Data Sampling: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind SigmaPlot?

Seller: Systat Software
HQ Location: BANGALORE, Karnataka
Twitter: @systatsoftware
58 Twitter followers
LinkedIn® Page: www.linkedin.com
4 employees on LinkedIn®

Who Uses This Product?

Top Industries: Research
Company Size: 58% Small, 29% Medium

What Do G2 Reviewers Say About SigmaPlot?

AI-generated summary from verified user reviews

Pros

Users appreciate the customizable graphical visualization in SigmaPlot, enabling tailored plots with specific equations.
Users love the customizable visual design of SigmaPlot, allowing them to create tailored plots effortlessly.

What Are Recent G2 Reviews of SigmaPlot?

"Used this for my MS thesis project for those cool and clear plots ."

Rating: 5.0/5.0 stars

— Sudhir K.

Best Statistical Analysis Software - Page 3

How Many Statistical Analysis Software Products Does G2 Track?

Category Stats (Oct 2026)

How Does G2 Rank Statistical Analysis Software Products?

G2 Grid® for Statistical Analysis Software

How Do G2 Users Rate SigmaPlot?

Who Is the Company Behind SigmaPlot?

Who Uses This Product?

What Do G2 Reviewers Say About SigmaPlot?

Pros

What Are Recent G2 Reviews of SigmaPlot?

How Do G2 Users Rate TIMi?

Who Is the Company Behind TIMi?

Who Uses This Product?

What Do G2 Reviewers Say About TIMi?

Pros

What Are Recent G2 Reviews of TIMi?

What Are G2 Users Discussing About TIMi?

How Do G2 Users Rate Mnova MS?

Who Is the Company Behind Mnova MS?

Who Uses This Product?

What Are Recent G2 Reviews of Mnova MS?

What Are G2 Users Discussing About Mnova MS?

AI can help you find the answers. G2 helps you trust them.

How Do G2 Users Rate Igor Pro?

Who Is the Company Behind Igor Pro?

Who Uses This Product?

What Are Recent G2 Reviews of Igor Pro?

What Are G2 Users Discussing About Igor Pro?

How Do G2 Users Rate Analyse-it?

Who Is the Company Behind Analyse-it?

Who Uses This Product?

What Are Recent G2 Reviews of Analyse-it?

How Do G2 Users Rate DataMelt?

Who Is the Company Behind DataMelt?

Who Uses This Product?

What Are Recent G2 Reviews of DataMelt?

What Are G2 Users Discussing About DataMelt?

How Do G2 Users Rate SPC for Excel?

Who Is the Company Behind SPC for Excel?

Who Uses This Product?

What Are Recent G2 Reviews of SPC for Excel?

How Do G2 Users Rate R Server for HDInsight?

Who Is the Company Behind R Server for HDInsight?

Who Uses This Product?

What Are Recent G2 Reviews of R Server for HDInsight?

What Are G2 Users Discussing About R Server for HDInsight?

How Do G2 Users Rate EspressChart?

Who Is the Company Behind EspressChart?

Who Uses This Product?

What Are Recent G2 Reviews of EspressChart?

How Do G2 Users Rate Q Research Software by Displayr?

Who Is the Company Behind Q Research Software by Displayr?

Who Uses This Product?

What Are Recent G2 Reviews of Q Research Software by Displayr?

What Are G2 Users Discussing About Q Research Software by Displayr?

How Do G2 Users Rate Easystat?

Who Is the Company Behind Easystat?

Who Uses This Product?

What Do G2 Reviewers Say About Easystat?

Pros

Cons

What Are Recent G2 Reviews of Easystat?

How Do G2 Users Rate Number Analytics?

Who Is the Company Behind Number Analytics?

Who Uses This Product?

What Do G2 Reviewers Say About Number Analytics?

Pros

Cons

What Are Recent G2 Reviews of Number Analytics?

What Are G2 Users Discussing About Number Analytics?

How Do G2 Users Rate Aqua Data Studio?

Who Is the Company Behind Aqua Data Studio?

Who Uses This Product?

What Do G2 Reviewers Say About Aqua Data Studio?

Pros

Cons

What Are Recent G2 Reviews of Aqua Data Studio?

What Are G2 Users Discussing About Aqua Data Studio?

How Do G2 Users Rate FittingKVdm?