Statistics Base

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.

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.

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

  • 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

Tecnical sheet

Statistics Base