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Statistical Analysis Software with Forecasting (2026)

Last updated: March 2026

Why is forecasting important for statistical analysis software users?

Based on GetApp's analysis of verified user reviews collected between July 2021 and August 2024.

Forecasting enables accurate prediction of future trends based on historical data. It supports decision-making, optimizes process control, and evaluates performance under various conditions, making it integral for comprehensive business analysis. Of the 59 reviewers who rated forecasting, 86% rated this feature as important or highly important.

Key features of statistical analysis software based on insights from 902 verified reviews

  • Reporting & Statistics: Reviewers value the ability to present data-driven insights, customize reports, and facilitate effective collaboration and communication. 93% of reviewers rated this feature as important or highly important.
  • Data Visualization: Users highlight the ability to create clear, customizable, and interactive visualizations that aid in understanding complex data and making informed decisions. 93% of reviewers rated this feature as important or highly important.
  • Reporting/Analytics: Reviewers appreciate comprehensive reporting and analytics tools that combine code, visualizations, and insights to support decision-making and clear communication. 92% of reviewers rated this feature as important or highly important.
  • Data Import/Export: Users find it useful to import and export data in various formats, allowing seamless integration with other tools and facilitating data management and analysis. 90% of reviewers rated this feature as important or highly important.
  • Regression Analysis: Reviewers value the ability to perform various types of regression analysis, model relationships between variables, and make predictions for informed decision-making. 90% of reviewers rated this feature as important or highly important.
  • Statistical Simulation: Users appreciate the capability to model complex systems, generate random samples, and run simulations, which aid in exploring hypotheses and optimizing decision-making. 85% of reviewers rated this feature as important or highly important.
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54 software options

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Stata logo

Statistical software for data analysis

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Stata is an integrated statistical software for data analysis, visualization, and management across disciplines. It offers tools like linear and logistic regression, time-series, panel-data, survival models, causal inference, Bayesian analysis, and machine learning. Stata provides publication-quality graphics with customizable layouts and supports automated report generation, exporting to Word, Excel, PDF, and HTML formats.

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CRM Analytics logo
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CRM Analytics is a cloud-based and on-premise data analysis platform, which helps small to large businesses in finance, healthcare, life sciences, communications, manufacturing, consumer goods, and other sectors extract, visualize, connect, share, and clean data. Features include machine learning (ML), natural language processing (NLP), artificial intelligence (AI), forecasting, predictive modeling, and drag-and-drop data visualization.

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