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Background |
What Makes Data Desk Different? 1. Data Desk is designed to work effectively with datasets all sizes—from a few hundred cases to a few million. The program optimizes computing-intensive operations resulting in speed not approached by other software running on larger, more expensive hardware. This means that Data Desk can be applied to an entire database, not just samples, and yet runs on desktop computers running Windows or Macintosh OS. 2. Data Desk allows multiple tables (relations) to reside in the same dataset. More importantly it provides seamless references between tables and for the tables themselves to change dynamically. This make it possible to start an analysis by looking at aggregated data, such as data on hospitals, then drill down to more detailed levels, examining data on physicians, and then to individual patient records. Relational database programs have these relational capabilities, but lack the statistics and graphics needed for analysis. Traditional statistics packages may provide analyses, but cannot combine information from multiple relations. 3. Data Desk provides dynamic displays that are linked tightly together. Users can click on a point to identify it immediately and select a point or a set of points for drilldown exploration. Feedback and results are instantaneous so users are encouraged to explore the data more fully. 4. Fast, intuitive navigational and drilldown tools are integrated intimately with sophisticated statistical modeling procedures. Databases provide fast querying tools. Statistics packages provide sophisticated statistical modeling tools. Only Data Desk provides both. Users receive the benefit of proven statistical techniques while being hidden from their complexity. 5. Data Desk provides effective tools for developing data mining, visualization and exploration applications. Applications can be brought to market quickly and inexpensively. Customers can have a meaningful impact on the final product without seriously delaying the development process. |
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