Características de IBM SPSS Statistics

Supports a variety of scripting environments

Applies statistical algorithms to selected data

Analyzes both structured and unstructured data

Offers modeling capabilities

Creates data visualizations or graphs

Generates reports of data performance

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

Allows users to select samples of data for defined procedures.

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.

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 generate text based on a text prompt.

Condenses long documents or text into a brief summary.