The Statistics Base Module is the starting point of the Statistics for Data Analysis solution and includes the core functionality needed to manage the entire analytical process.

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Statistics Base provides a comprehensive set of techniques and procedures for carrying out research and statistical studies in a wide variety of fields, enabling improved decision-making.

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The main functions and features of Statistics Base are:

  

• A comprehensive set of statistical procedures to conduct accurate analyses

• Integrated techniques for preparing data to improve results

• Reporting and charting functionality for better reading of information

• Advanced visualisation features to show the meaning of the results in a simple and effective way.

• Import of the most popular data file formats, including large datasets.

• Advanced export capabilities for rapid deployment of results

 

A comprehensive set of statistical procedures

 

• Carrying out a full range of descriptive procedures, including cross tabulations, frequencies, comparative averages and correlation

• Predicting numerical results and identifying groups using factor analysis, cluster analysis, linear regression, ordinal regression, discriminant analysis and Nearest Neighbor analysis

• Applying Monte Carlo simulation techniques to manage uncertainty in predictive models and establish the likelihood of a particular business outcome when not having all the necessary data available

• Using Statistics Base with other modules, such as Statistics Regression and Statistics Advanced, to more accurately identify and analyse complex relationships

 

Integrated techniques

 

• Identifying and eliminating duplicate cases and restructuring data files prior to analysis

• Defining data dictionary information (e.g. value labels and variable types) and using it as a template to more quickly prepare all data for analysis

• Opening multiple datasets in one session to save time and reduce steps

 

Reporting and chart functionality

 

• More easily creating commonly used graphs, such as scatter plot matrices, histograms and population pyramids

• Dragging and dropping elements and variables into a charting area and preview them

• Developing a graph and reusing the graphical elements to create similar ones

• Generating double-entry reports

 

Advanced visualisation features

 

• Distributing and modifying information to customise decision-making using OLAP (online analytical processing) reporting technology

• Creating high-end charts and diagrams to simplify reporting and analysis by identifying new information in the data

• Using pre-integrated map models to create a geographic or demographic analysis that can provide critical information for decision making

• Quickly editing statistics and information in graphs for new levels of analysis, converting a table into a graph with a few clicks

• Viewing interactive output on a range of devices and platforms, including iPod, iPhone, iPad, Android and Windows smartphones and tablets.

 

Import of most popular data formats

 

• Accessing, managing and analysing any type of dataset, including survey data, corporate databases or data downloaded from the Web

• Eliminating data variability caused by language-specific coding and visualising, analysing and sharing data written in multiple languages, using built-in Unicode support.

 

Deployment

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• The results of the analysis are displayed in a separate environment, the Output Viewer, which organises them hierarchically, with the possibility of selecting, printing and exporting them for quick and easy sharing of analysis work.

• The output of Statistics for Data Analysis can be exported in text, html, Excel, Power Point (*.PPT) or PDF format.

• The models can be exported to xml and SAS format