Abstract: A data analysis system may automatically suggest data visualizations to a user. A primary data visualization may be displayed to graphically illustrate a primary data set of a database. Criteria may be automatically applied to the database to identify a secondary data set that meets the criteria. A secondary data visualization that graphically illustrates the secondary data visualization and/or a corresponding indicator may be displayed. Multiple visualizations and/or indicators may be displayed, and the user may select one for viewing. The criteria may again be applied to the database to identify a tertiary data set. An analysis path may be recorded to enable the user to easily view the decisions made and/or the data visualizations viewed. The criteria may include determination that the secondary data set has the desired amount of data, has unique data types or descriptors, includes data previously selected by the user, or the like.

Abstract: A data recipe may be automatically generated to provide requested information to a user. After the information is requested, one or more data sources may be interrogated to discover a plurality of data types of data stored in the data sources. The data types may be categorized to define a plurality of data recipe ingredients that are likely to be needed to provide the requested information. The data recipe ingredients may be compared with a reference data recipe. Based on the results of the comparison, a new data recipe that provides the requested information may be made by either modifying the reference data recipe or by proceeding independently of the reference data recipe. The new data recipe may, for example, calculate a key performance indicator used to measure organizational performance.

Abstract: A data recipe may be automatically generated to provide requested information to a user. After the information is requested, one or more data sources may be interrogated to discover a plurality of data types of data stored in the data sources. The data types may be categorized to define a plurality of data recipe ingredients that are likely to be needed to provide the requested information. The data recipe ingredients may be compared with a reference data recipe. Based on the results of the comparison, a new data recipe that provides the requested information may be made by either modifying the reference data recipe or by proceeding independently of the reference data recipe. The new data recipe may, for example, calculate a key performance indicator used to measure organizational performance.

Abstract: A related information provision system may be used to identify constituent data for a selected portion of summary data on a summary data visualization such as a chart or graph. The portion of the summary data may be selected by a user, a system event, and/or another process. The constituent data may include values and/or metadata for one or more data sets summarized by the summary data, formulas and/or other information, which may indicate how the summary data are obtained from the constituent data. Information regarding the constituent data (“related information”) may be displayed for a user on a constituent visualization or the like. If the information is already displayed, the system may draw the user's attention to the information. If the information is displayed in a different view, the system may display a navigational element leading to it, or direct the user's attention to an existing navigational element.

Abstract: A data analysis system may automatically suggest data visualizations to a user. A primary data visualization may be displayed to graphically illustrate a primary data set of a database. Criteria may be automatically applied to the database to identify a secondary data set that meets the criteria. A secondary data visualization that graphically illustrates the secondary data visualization and/or a corresponding indicator may be displayed. Multiple visualizations and/or indicators may be displayed, and the user may select one for viewing. The criteria may again be applied to the database to identify a tertiary data set. An analysis path may be recorded to enable the user to easily view the decisions made and/or the data visualizations viewed. The criteria may include determination that the secondary data set has the desired amount of data, has unique data types or descriptors, includes data previously selected by the user, or the like.

Abstract: A data analysis system may automatically suggest data visualizations to a user. A primary data visualization may be displayed to graphically illustrate a primary data set of a database. Criteria may be automatically applied to the database to identify a secondary data set that meets the criteria. A secondary data visualization that graphically illustrates the secondary data visualization and/or a corresponding indicator may be displayed. Multiple visualizations and/or indicators may be displayed, and the user may select one for viewing. The criteria may again be applied to the database to identify a tertiary data set. An analysis path may be recorded to enable the user to easily view the decisions made and/or the data visualizations viewed. The criteria may include determination that the secondary data set has the desired amount of data, has unique data types or descriptors, includes data previously selected by the user, or the like.