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Data Sheet (PDF version)

Purpose: Information visualization tool ; visual data analysis and reporting of business data ; direct Direct data editing and editing.

Status: ILOG Discovery Preview is proof-of-concept software. While functional for many purposes, it presents limitations and shortcomings. ILOG Discovery Preview is currently not sold and only available for evaluation purposes.

Data Handling

Data tables such as spreadsheet tables, SQL tables, web log files... custom readers can be integrated to load any sort of data table. Can handle data sets from 10000 to 1 Million lines and about 30 columns, depending on the hardware platform and type of view. 

  • Load data tables from various ASCII text formats, such as spreadsheets, log files... 
  • Direct connection to data storage systems, via data source API. 
  • Retouch data sets locally: add computed columns, perform local changes, create sub tables via a logical expression or a manual selection.
  • Load and manipulate multiple data sets.
  • Reload feature to reopen data sets that may have been modified.
  • Export data tables.
  • Accepted data types: String, Enumerated, Integer, Number, Date and any serializable java class.

Visual Data Analysis

  • Powerful, ready-to-use visualizations: 
    • Overviews (histograms and distributions) to get a sense of content.
    • Graphs to analyze trends and find exceptions, to refine your sense of content,
    • Data Maps and Hierarchies to categorize, hierarchize and distribute, get a sense of structure.
  • Fully customizable visualizations, to define a much broader range of visualization types, in a unified way. Most notably allows crossing visualization features (such as grids of 2D plots).
  • Navigation: Geometrical: Zoom, pan ; Semantic: focus in/out ; view exact values with object inspector, table viewer and tooltips.
  • Selection and marks to perform and display cross-view selection.
  • Parallel analysis: Multiple data sets loaded and displayed at the same time. Multiple views visible at the same time. 
  • Easy window manipulation: views are automatically iconified to make room for new views. A view shelf provides direct access to an unlimited number of views. Non-overlapping window schemes avoid all window manipulations.
  • Macros mechanism to perform combined settings in one single action.

Extensive Visualization parameters

A patented algorithm enables combining the following parameters and define recursively sub visualizations. Those parameters enable creating through a simple point and click interface all data-linear visualization algorithms. 

  • Partitioning and clustering: partition on enumerated, numeric, date values, URL and IP addresses. Fully recursive model.
  • Sort
  • Layout: Rectangle, Ellipses and Polylines shapes
    • Automatically adjusted Scales
  • Frame and margins
  • Labels
  • Decoration: base decoration with support for qualitative, quantitative and diverging color scales. HSB color model, gradient color model, transparency attribute.
  • Per record visualization
    • Field display: per line bar charts and "bar code".
    • Interactive filters enable dynamic queries.
  • Sub visualizations enable fine tuning views to highlight relevant findings while maintaining the context.

Project Management

Project management features let you store and retrieve:

  • data set references
  • views (data set reference + visualization)
  • visualizations
  • marks (selections of lines in a data set)
  • notes

Report and share results

  • Export and share results: Export views and data sets to other tools: presentation, spreadsheet… 
  • Deploy views and full projects on enterprise portals, with applets instantiating the ILOG Discovery components.

Up to date user interface

  • Full undo/redo
  • Integrated online help
  • Preferences handling
  • Fully internationalized

Component

A Java component tightly coupled to the interactive tool lets customize those views, connect them with up-to-date data from enterprise information systems and deploy them on enterprise portals.


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