MINITAB STATISTICAL SOFTWARE ADD-ON

Predictive Analytics

Leverage the power of predictive analytics to solve everyday challenges.

Predictive Analytics Module Overview

Minitab's Predictive Analytics Module equips you with the tools to forecast trends, anticipate outcomes and make proactive decisions based on data patterns. Watch the video below to learn more about the power of Predictive Analytics. 

Advanced Analytics

Boost your analytical power with best-in-class, accurate machine learning algorithms that provide deeper insights into your data.

Fast and Versatile

Powerful, award-winning and unique machine learning methods, MARS® (Multivariate Adaptive Regression Splines), TreeNet® Gradient Boosting and Random Forests®, are included in the module.

Watch our webinar series to learn more about our different solutions.

Automated Machine Learning

Easily confirm you're using the best predictive model to answer your question with Automated Machine Learning. Perfect for those new to predictive analytics who need recommendations and experts looking for a second opinion.

Predictive Analytics: Webinar Serie

There are many valuable algorithms that provide deeper insights into your data. Watch Minitab’s on-demand webinar series to explore Minitab’s best-in-class Machine Learning algorithms. 

Minitab’s Predictive Analytics Webinar Series introduces you to our popular algorithms:

  • CART®

  • Random Forests®

  • TreeNet®

  • MARS®

Using Minitab’s most advanced predictive analytics solutions, we’ll dive into two real-life data sets and highlight how Minitab can be used to predict solar energy output and prevent maintenance in industrial machinery.

  • Example 1: How to Predict Energy Output of a Power Plant

  • Example 2: Predictive Maintenance for Wind Turbines

Feature Engineering: 7 Techniques for Better Predictive Analytics & AI Machine Learning Models

For years, enhancing data features has been a common aim in data analytics, playing a critical role in supporting successful AI initiatives. However, before realizing the value of AI, feature engineering is essential. This white paper illustrates a few of powerful tools Minitab Statistical Software provides to help prepare data.

Feature engineering is the task of using knowledge about a process and its resulting data to extract properties, or features, that make predictive models work. Essentially, predictive models require input data to make predictions about the output of a process. The features or inputs you select to build a predictive model will have a major impact on the accuracy of the model’s predictions. To best apply feature engineering, knowledge of your process as well as your data are key to selecting features that will help you build accurate predictive models. The features you select should represent the underlying problem that you are trying to solve, making expertise in the process itself critical. At Minitab, we help practitioners like process experts, data scientists and business analysts leverage process knowledge to find data-driven solutions to solve their toughest business challenges.

In this whitepaper, we highlight seven feature engineering techniques and how you can successfully apply them using Minitab Statistical Software.

Access the Full Minitab White Paper

By providing your details, you agree to them being shared with us and our third-party partners, which may be located inside or outside of the European Union (in such case, we will use appropriate legal framework to operate data transfers), and for marketing purposes.

MINITAB STATISTICAL SOFTWARE

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Proven results

  • “I usually stick to the methods that have always worked for me—but TreeNet partial dependency plots have given me greater insight and helped solve some of my most vexing problems. ”

    - Process Engineer, Consumer Packaged Goods

  • “Engineers and analysts can spend 80% of their time trying to identify the important drivers of process issues when performing a root cause analysis.”

    - Market Research from Minitab

  • “Our Continuous Improvement team has made great progress with Minitab’s predictive analytics. The integration of data science and CI has led to more predictable KPI’s.”

    - Data Science Leader, Food Manufacturer

MINITAB STATISTICAL SOFTWARE

Moduler för anpassade behov

Predictive Analytics Add-on

Leverage the power of predictive analytics to solve everyday challenges.

Customer Contact Center

Leverage the power of data analysis to tackle challenges in customer care with Minitab's Customer Contact Center Module.

Healthcare

Leverage the power of data analysis to tackle challenges in healthcare with Minitab's Healthcare Module.

Insurance Industry

Leverage the Power of Data Analysis with Minitab's Insurance Industry Module.

Supply Chain

Leverage the power of data analysis to tackle challenges in
your supply chain with Minitab's Supply Chain Module.

Measurment System Analysis

Assess Your Measurement System Variance, Bias and Stability Faster and Easier than Ever with Minitab's MSA Module.

Reliability Analysis

Leverage the Power of Data Analysis with Minitab’s Reliability Analysis Module

Sample Size

Estimate Your Required Sample Size Faster and Easier than Ever with Minitab's Sample Size Module.

Research and Developement

Leverage the Power of Data Analysis with Minitab’s Research and Development Module

Minitab Download

Within 30 days of your purchase of Minitab Statistical Software or Minitab Workspace, you are required to download the software.

During installation, you will be prompted to enter the provided product key. If you do not enter your product key at this time, you will be prompted to enter the product key each time you launch the software during the next 30 days. You must enter the product key to continue use of the software beyond those 30 days.

If your software download has expired, please contact us