Minitab Statistical Software Features

Supports a variety of scripting environments

Mines data from databases and prepares data for analysis

Applies statistical algorithms to selected data

Analyzes both structured and unstructured data

Interacts with data to prepare it for visualizations and models

Series of data points indexed in time order

Review data from past periods to reveal recurring tendencies and predict future performance

Offers modeling capabilities

Creates data visualizations or graphs

Generates reports of data performance

Unifies information on a singular platform

Alter the layout and content of reports

Data quality consists of deduplication, cleansing, and appending your marketing database.

Allows users to select samples of data for defined procedures.

Share data across your organization.

Allows users to manage data from a number of sources

Receive data and information in real time

Statistical methods to assist with and maintain quality control of processes

Communicate complex information clearly and effectively through advanced graphical techniques.

Supports evaluation of durations, events, and reliability in relation to statistical analysis

Identify risk data attributes such as description, category, owner, or hierarchy.

Tools to analyze financial data in order to gain usable insights.

Analysis of data sets that contain more than one variable

Provides varying estimates based on different scenarios

Apply statistical/mathematical models to sets of data

A statistical method, based on Bayesian inference, that expresses unknown parameters as probability statements

Review data from past periods to reveal recurring tendencies and predict future performance

Analysis to understand which of the independent variables are related to the dependent variable

Supports analysis of variance (ANOVA) to determine observed variance.

Supports various regression methods such as ordinary least squares (OLS), weighted least squares (WLS), or generalized linear model (GLM).

Supports the analysis of time series data for predictive analytics and exploratory analysis.

Allows users to create conditional formatting rules with mathematical functions and calculate simple and complex data sets.

Recalculates values within cells automatically when function changes occur.

Takes data and turns it into insightful visualizations in the form of charts, diagrams, graphs that are adjustable.

Lets users organize data into standard tables or pivot tables for additional mathematical insights.

Lets users choose from a variety of spreadsheet templates with pre-made tables or pre-populated charts.

Allows users to filter data sets depending on what they want to see or hide.

Pre-designed layouts that can be customized to match preferences and requirements

Lets users download and store addons that further expand the functionality and features within the spreadsheet.

Access spreadsheets with multiple devices such as mobile or desktop.

Allows seamless importing and exporting features into other spreadsheet software or document creation software.

Provides the ability to periodically saves a user's spreadsheet automatically.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Use AI to generate content in the form of text, images, videos, etc.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Use AI to generate content in the form of text, images, videos, etc.

Supports integration with multiple data sources for seamless data input.

Set up connections to third-party platforms to improve business processes

Enhances output accuracy and speed through efficient ingestion and processing of training data.

Generates actionable insights by applying learned patterns to key issues.

Continuously improves and adapts to new data using specified algorithms.

Track and report regulatory data to either internal management or external stakeholders

Active reporting of data and metrics

Assess the performance of a method by picking a random sample from a normal distribution

Form predictions based on past and present data/trends

A classification and/or predictive modeling technique used for data analysis

Interact with data visualization elements, such as charts and graphs, to drill down into data

Define levels of authorization for access to specific files or systems

Connect to big data sources

Alter the layout and content of reports

Assemble applications and processes by dragging over and arranging pre-built components

Access, combine, transform, and store data without the help of an IT department

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Translate EDI formats into data suitable for use with company applications.

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

View and track pertinent metrics to find patterns and gain insights from data

Predict future data based on historical data sets

Application programming interface that allows for integration with other systems/databases

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Machine learning method, based on rules, to find interesting relationships between variables in large databases

Generate one-off reports that meet information requirements

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Set up connections to third-party platforms to improve business processes

Create labels for products that contain required information such as colors, sizes, dates, etc.

Search and filter data across systems to locate required information by entering keywords or certain criteria

Observe and track the demand, usage, progress or quality of a system, product, or user

Clustering or grouping objects based on data similarities

Import and export data to and from software applications

Security protocol that ensures secure, encrypted communication over the internet, safeguarding sensitive data from unauthorized access

Store and access documents, forms, and photos in one centralized place

Support tool that enables users to progress through a series of steps to solve a problem

Create multiple models or equations for generating scores

Analyzing historical and current data and generating a model to help predict future outcomes.

Configure existing workflows to meet your organization's needs

Attach digital tags to documents and assets for identification, search, or monitoring purposes

Import and export data to and from software applications

Application programming interface that allows for integration with other systems/databases

Predict future data based on historical data sets

Graphical representation of data

Track status, assign actions, and control access to systems for devices within the organization

Allows users to manage data from a number of sources

Drag and drop/visual interfaces that allow non-tech users to build without writing code

Transforming raw data to run it through machine learning algorithms to uncover insights or make predictions.

Examine established processes and records to ensure accuracy, compliance, and policy adherence

Provides a channel for team members to share media files, communicate, and work together

Examine large amounts of data to uncover hidden patterns, correlations, and other insights

Share, track, and store machine learning models and data.

Ability to handle large datasets

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Import, collect, and capture data from multiple sources

Track and document all activities across devices, networks, and other systems

Connect to big data sources

Protect sensitive data for digital privacy

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Create, design and manage workflows for repetitive tasks

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Forecast customer demand using historical insights and simulations

Software program that continuously adjusts its behavior based on observed data

Assemble applications and processes by dragging over and arranging pre-built components

Software designed for the healthcare industry

Form predictions based on past and present data/trends

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

Set up connections to third-party platforms to improve business processes

Tools that provide relevant information at specific times to support judgments and courses of action

Using physical, mathematical, or logical models as a basis for simulations to generate data for managerial or technical decision-making

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

View and track pertinent metrics to find patterns and gain insights from data

Allows users to manage data from a number of sources

For Retail Stores

Used for educational purposes

Discover and connect variety of data sources to the application for analysis

Create, design and modify the flow and processes of tasks in a project

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Define and maintain business rules that determine workflow capabilities and criteria

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Process and analyze human language in text or audio form

Translate EDI formats into data suitable for use with company applications.

Clustering or grouping objects based on data similarities

Application programming interface that allows for integration with other systems/databases

Merge data from multiple sources to a single data set

Grouping log entries based on similar attributes.

Create, design and manage workflows for repetitive tasks

Streamlining repetitive tasks and activities through automated and predefined workflows

Use AI to generate content in the form of text, images, videos, etc.

Alter the layout and content of reports

Move files across different systems or networks

Ability of websites, web applications, or mobile applications to function without an active internet connection

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Track and document all activities across devices, networks, and other systems

Manage and optimize formulas/recipes for specific requirements.

Manage and track all internal and external communication conducted via calls, email, text, or chat

An @mention is a way to tag or notify a specific person about a message/post

Create, design and manage workflows for repetitive tasks

Receive system updates as soon as any changes are made

A systematic and logical representation of numeric data in rows and columns

Ability to handle several projects simultaneously

Store, manage, and track all electronic documents in a centralized location

Track revisions and updates made to files and navigate between different versions

Application programming interface that allows for integration with other systems/databases

Manage and support multiple languages

Plan and coordinate all the resources, costs and time needed to execute assignments

Provides a channel for team members to share media files, communicate, and work together

Search for specific words or phrases within a document or database

Graphical representation of data

Assemble applications and processes by dragging over and arranging pre-built components

Receive data and information in real time

Leave comments and notes on documents for others to view

Allow users to access multiple services after entering their login credentials once

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

View and track pertinent metrics to find patterns and gain insights from data

Import and export data to and from software applications

Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks

Includes a variety of messaging formats including industry-specific (EDIFACT, HL7, X12)

Manage patient documentation describing all clinical interactions, diagnoses, procedures, medications, etc.

Define levels of authorization for access to specific files or systems

Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency

Search and filter data across systems to locate required information by entering keywords or certain criteria

Set up connections to third-party platforms to improve business processes

Perform various mathematical calculations using the data

Provides varying estimates based on different scenarios

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources