Statistical Analysis & Data Tools in AI answers
Data as of Oct 20, 2026Based on 106 AI responses
Reviewed by Dimitry Apollonsky
Most-mentioned brands
Rank and Mentioned in · since Jul 5
| # | Brand | Recommended for | Mentioned in |
|---|---|---|---|
| 1 | flexible statistical programming, machine learning, and handling large unstructured datasets | flexible statistical programming, machine learning, and handling large unstructured datasets | 93% |
| 2 | enterprise actuarial modeling and complex simulations alongside Python | enterprise actuarial modeling and complex simulations alongside Python | 65% |
| 3 | policy analysts evaluating public data and structured survey research | policy analysts evaluating public data and structured survey research | 46% |
| 4 | menu-driven social science analysis without required coding | menu-driven social science analysis without required coding | 31% |
| 4 | specialized insurance modeling alongside FIS Prophet and Python | specialized insurance modeling alongside FIS Prophet and Python | 30% |
| 4 | Excel spreadsheets used across actuarial and policy analysis workflows | Excel spreadsheets used across actuarial and policy analysis workflows | 28% |
| 4 | 25% | ||
| 8 | 18% | ||
| 8 | stochastic modeling and liability projections in life insurance | stochastic modeling and liability projections in life insurance | 17% |
| 8 | 17% | ||
| 8 | 17% | ||
| 8 | 14% | ||
| 8 | 14% | ||
| 8 | 14% | ||
| 8 | 13% |
Mentioned in on each engineChatGPT SearchChatGPT SearchGoogle AI ModeGoogle AI Mode
Widest split: statsmodels, 19% on ChatGPT Search and 8% on Google AI Mode.
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| Python | 96% | 90% | |
| SAS | 70% | 60% | |
| Stata | 46% | 46% | |
| IBM SPSS Statistics | 33% | 29% | |
| Moody's | 28% | 33% | |
| Microsoft | 31% | 25% | |
| Microsoft Excel | 30% | 21% | |
| Slope Software | Outside ChatGPT Search's top 25 | 27% | |
| MATLAB | 28% | Outside Google AI Mode's top 25 | |
| Pandas | 22% | 12% |
Latest insights
Weeks of Sep 21 – Oct 7, 2026 · Since Jul 5
- Python Gap between platforms: ChatGPT Search now names Python 13.6 points more often than Google AI Mode in Statistical Analysis & Data Tools, a narrowed gap
- Stata Slipping: Stata dropped 1 place to rank #5 of 59 in Statistical Analysis & Data Tools
- Stata Slipping: StataMicrosoft moved ahead of Stata in Statistical Analysis & Data Tools
- Microsoft Gaining: MicrosoftStata now trails Microsoft in Statistical Analysis & Data Tools
- FIS Insurance Risk Suite Gaining: FIS Insurance Risk Suite ranked #26 in Statistical Analysis & Data Tools last week and #8 this week
and 7 more insightssee the ranking
Questions and answers
As an actuary, what is the best software for running complex statistical models and simulations?
What's the best software for a policy analyst to use for statistical analysis of public data?
Sources AI cites100
27% of citations point at the ranked brands’ own sites. reddit.com, guideflow.com, youtube.com are the most-cited sites outside the ranked brands’ own domains.
- 33%
- What is the best statistical software to learn or policy research work? · 8% (opens in a new tab)
- What software do you use? · 6% (opens in a new tab)
- Python vs R vs STATA · 4% (opens in a new tab)
- Do political scientists use any software tools for their analytical work? · 4% (opens in a new tab)
- Best data analysis software!? : r/publichealth - Reddit · 4% (opens in a new tab)
- reddit.com · 4% (opens in a new tab)
- What software do you actuaries use on a day-to-day basis? · 3% (opens in a new tab)
- Stata, Python, R? Which is more common? · 3% (opens in a new tab)
- What are the advantages of using Python for the Pricing and Underwritting process in an Insurance Company? · 2% (opens in a new tab)
- Stata v. R v. Python · 1% (opens in a new tab)
- 26%
- Public policy | Stata · 19% (opens in a new tab)
- Statistical software for data science | Stata · 10% (opens in a new tab)
- Stata features | Stata · 7% (opens in a new tab)
- Why use Stata | Stata · 5% (opens in a new tab)
- Survey features | Stata · 4% (opens in a new tab)
- Survey methods | Stata · 3% (opens in a new tab)
- Stata features · 2% (opens in a new tab)
- Data science | Stata · 1% (opens in a new tab)
- Economics | Stata · 1% (opens in a new tab)
- Political science | Stata · 1% (opens in a new tab)
- 20%
- What is Actuarial Modelling Software? · 10% (opens in a new tab)
- Which Statistical Software and Tools are Best for Data ... · 4% (opens in a new tab)
- Agentic AI and Dynamic Actuarial Modeling: The Future of ... · 2% (opens in a new tab)
- “Analyze Data Faster. Make Smarter Decisions with SAS!” - YouTube · 1% (opens in a new tab)
- Python, R, SAS vs SPSS, Excel, Minitab · 1% (opens in a new tab)
- Welcome - R: An Introduction - 1.1 - YouTube · 1% (opens in a new tab)
- AI Tools for Data Cleaning · 1% (opens in a new tab)
- Introduction to R for Epidemiology - Session 2 · 1% (opens in a new tab)
- Actuary vs Data Scientist: An Employers Dilemma - YouTube · 1% (opens in a new tab)
- PyMCon Web Series - Bayesian Statistics Toolbox - Hysob Kim - YouTube · 1% (opens in a new tab)
- 17%
- SAS Insurance Life Cycle Accelerator | SAS · 6% (opens in a new tab)
- SAS Insurance Life Cycle Accelerator | SAS · 2% (opens in a new tab)
- SAS Dynamic Actuarial Modeling · 2% (opens in a new tab)
- SAS: Data and AI Solutions | SAS · 1% (opens in a new tab)
- SAS Dynamic Actuarial Modeling | SAS · 1% (opens in a new tab)
- SAS Econometrics · 1% (opens in a new tab)
- SAS Dynamic Actuarial Modeling | SAS · 1% (opens in a new tab)
- SAS Insurance Life Cycle Accelerator | SAS · 1% (opens in a new tab)
- Public Sector Analytics | SAS · 1% (opens in a new tab)
- SAS/IML (SAS 9.4) Software | SAS · 1% (opens in a new tab)
- 15%
- 15 Free Data Analysis Tools Every Researcher Should Know. · 4% (opens in a new tab)
- #phd #dataanalysis #phdtools #research | Muhammad Muneeb | 15 comments · 3% (opens in a new tab)
- R vs Python vs SQL: A Comparative Analysis from an Actuarial Perspective · 3% (opens in a new tab)
- How to Choose the Best Software for Economic Impact Analysis · 2% (opens in a new tab)
- Choosing Statistical Tools in Data Science Research · 1% (opens in a new tab)
- I came across an interesting post discussing the differences between R, SPSS, and SAS, and it got me thinking about how each tool serves unique purposes in data analysis. | UTHMAN AL-AMEEN, BSC, MPH · 1% (opens in a new tab)
- The 4 Essential Tools Every Data Analyst Should Master · 1% (opens in a new tab)
- 5 Top Data Analytics Tools Every Data Analyst Should Master · 1% (opens in a new tab)
- Actuarial Software 101 – Tools That Shape Our Work (Part 1: Core Essentials) · 1% (opens in a new tab)
- Data Science Careers in Government and Public Policy · 1% (opens in a new tab)
- 11%
- Revolutionizing Actuarial Science: The Power of AI ... - Medium · 6% (opens in a new tab)
- Simulating Success: Mastering Simulation Analysis with Python | by Bragadeesh Sundararajan · 3% (opens in a new tab)
- Comparing Stats Software and My Favorite Python Packages for Linear Regression · 1% (opens in a new tab)
- Mastering Random Effects Models: A Comprehensive Statistical Guide with Python Applications · 1% (opens in a new tab)
- R for Statistical Analysis: Key Packages You Should Know · 1% (opens in a new tab)
- Top 10 Frameworks Every Data Analyst Should Know | by Dossier Analysis | Power BI · 1% (opens in a new tab)
- Open Source Social Listening. Applications for the public sector | by Jordan Jasuta Fischer · 1% (opens in a new tab)
- 10%
- statsmodels documentation — statsmodels 0.15.0 · 7% (opens in a new tab)
- Getting started — statsmodels 0.15.0 · 3% (opens in a new tab)
- statsmodels documentation · 2% (opens in a new tab)
- statsmodels 0.14.6 · 2% (opens in a new tab)
- statsmodels documentation — statsmodels 0.15.0 · 1% (opens in a new tab)
- 9%
- R: The R Project for Statistical Computing · 9% (opens in a new tab)
- R: What is R? · 4% (opens in a new tab)
- R: The R Project for Statistical Computing · 1% (opens in a new tab)
- R: The R Project for Statistical Computing · 1% (opens in a new tab)
- Statutes of “The R Foundation for Statistical Computing” · 1% (opens in a new tab)
- 8%
- The First Annual CAS Actuarial Technology Survey · 6% (opens in a new tab)
- Research Resources | Casualty Actuarial Society · 4% (opens in a new tab)
- Building a GLM from Start to Finish | Casualty Actuarial Society · 2% (opens in a new tab)
- 2026 CAS Virtual Workshop: Introduction to Python for P&C Insurance | Casualty Actuarial Society · 1% (opens in a new tab)
- Open Source Opens Doors | Casualty Actuarial Society · 1% (opens in a new tab)
- 8%
- Actuarial Modeling Solutions with AXIS Actuarial Systems – Moody’s · 6% (opens in a new tab)
- AXIS | Managed cloud actuarial modeling | Moody’s · 2% (opens in a new tab)
- AXIS™ Actuarial Modeling System · 1% (opens in a new tab)
- Advanced Insurance Risk Solutions for Insurers – Moody’s · 1% (opens in a new tab)
- 8%
- Top 10 Best Actuary Software of 2026 - Worldmetrics · 5% (opens in a new tab)
- Best Actuarial Modeling Software | 2026 Rankings · 2% (opens in a new tab)
- Top 10 Best Actuarial Software – 2026 Buyer's Guide - Worldmetrics · 2% (opens in a new tab)
- Best Dynamic Financial Analysis Software | 2026 Expert Picks · 1% (opens in a new tab)
- 6%
- Dataiku | The Enterprise AI Platform for Analytics, ML & AI Agents · 3% (opens in a new tab)
- Practical transformation: How Dataiku is modernizing the actuarial ... · 2% (opens in a new tab)
- Dataiku: The Platform for AI Success · 1% (opens in a new tab)
- Data preparation for AI with Dataiku · 1% (opens in a new tab)
- Data preparation for AI with Dataiku · 1% (opens in a new tab)
- how Dataiku is modernizing the actuarial workflow · 1% (opens in a new tab)
- 6%
- Scenario Modeling e-Course · 2% (opens in a new tab)
- Considerations for Predictive · 1% (opens in a new tab)
- The Latest Trends in Actuarial Tech and Automation: A Snapshot of the Landscape Today and Hypotheses for the Future · 1% (opens in a new tab)
- Julia for Actuaries · 1% (opens in a new tab)
- Ask Stuart · 1% (opens in a new tab)
- Considerations for Predictive Modeling in Insurance Applications · 1% (opens in a new tab)
- Predictive Analytics: A Primer for Pension Actuaries · 1% (opens in a new tab)
- Predictive Analytics Programs · 1% (opens in a new tab)
- 6%
- Data analysis: Which (free) tool or software do you use for statistical data analysis? · 3% (opens in a new tab)
- Is it a good idea to use Microsoft Excel as a statistical software package for analyzing the data? Is it acceptable for the journals? · 1% (opens in a new tab)
- What is the best software for multilevel modelling? · 1% (opens in a new tab)
- (PDF) Comparing four contemporary statistical software tools for introductory data science and statistics in the social sciences · 1% (opens in a new tab)
- (PDF) The Role of Statistical Software in Data Analysis · 1% (opens in a new tab)
- 5%
- Risk Management Toolbox - MATLAB · 2% (opens in a new tab)
- Statistics and Machine Learning Toolbox Documentation · 1% (opens in a new tab)
- Statistics and Machine Learning Toolbox Documentation · 1% (opens in a new tab)
- MATLAB · 1% (opens in a new tab)
- Statistics and Machine Learning Toolbox · 1% (opens in a new tab)
- Quantitative Finance and Risk Management - MATLAB & Simulink · 1% (opens in a new tab)
- 5%
- Actuarial Science: What are the softwares we need to learn in this field apart from excel and sas? - Quora · 2% (opens in a new tab)
- What actuarial software can run on GPUs? - Quora · 2% (opens in a new tab)
- Can you recommend a statistical analysis software, like SAS, STATA, or SPSS, that can be used instead of Microsoft Excel (which is free)? - Quora · 1% (opens in a new tab)
- What software do I need to buy as an actuaries? - Quora · 1% (opens in a new tab)
- 5%
- GitHub - genedan/actuarial-foss: A curated list of free and open source actuarial software · GitHub · 2% (opens in a new tab)
- GitHub - actuarialopensource/awesome-actuarial: An Awesome List of Actuarial Packages and Resources · GitHub · 1% (opens in a new tab)
- GitHub - Devang-C/AutoEDA: AutoEDA: An Automated Exploratory Data Analysis (EDA) Toolkit Simplify and automate your data exploration process with AutoEDA. This open-source Python application streamlines data preprocessing, missing data handling, visualization, and more. Easily discover insights and patterns in your datasets without the hassle of manual EDA · GitHub · 1% (opens in a new tab)
- statsmodels/pyproject.toml at main · statsmodels/statsmodels · GitHub · 1% (opens in a new tab)
- 4%
- Open for Innovation | KNIME · 2% (opens in a new tab)
- Getting Started Guide · 2% (opens in a new tab)
- KNIME Analytics Platform | KNIME · 2% (opens in a new tab)
- How to Automate Data Cleaning: Step-by-Step Guide | KNIME · 1% (opens in a new tab)
- Get Started | KNIME · 1% (opens in a new tab)
- Software overview | KNIME · 1% (opens in a new tab)
- KNIME for spreadsheet users | KNIME · 1% (opens in a new tab)
- 3%
- Julius AI: Chat with Your Data Using AI · 1% (opens in a new tab)
- 13 Best AI Tools for Financial Analysis: Features & Pricing [2026] | Julius AI · 1% (opens in a new tab)
- 11 Best Statistical Analysis Tools: Features & Pricing in 2025 | Julius AI · 1% (opens in a new tab)
- AI Report Generator – Turn Data into Reports | Julius AI · 1% (opens in a new tab)
- 2%
- Monte Carlo simulations are a powerful mathematical tool used to predict outcomes in situations involving uncertainty. By running thousands or even millions of random trials, these sim | Mathswithmuza · 1% (opens in a new tab)
- Not sure which data analysis software to learn? Here's a quick guide ... · 1% (opens in a new tab)