Alan Winters

US Patent:

20070233511, Oct 4, 2007

Filed:

Mar 28, 2007

Appl. No.:

11/692851

Inventors:

Alan Adams Winters - Lindon UT, US
Jessica Louise Petersen - Salt Lake City UT, US
Kevin Gary Smith - Pleasant Grove UT, US

Assignee:

Omniture, Inc. - Orem UT

International Classification:

G06Q 30/00

US Classification:

705 1

Abstract:

Automated integration of partner products in connection with a web analytics application is facilitated. A list of available partner products is displayed, and the user is provided with an opportunity to select one or more of the displayed partner products. A wizard is presented, allowing the user to configure the partner product by specifying and mapping metrics, dimensions, and the like. Partner product integration then takes place automatically, thereby simplifying the process by which such integrations can be implemented.

US Patent:

20200005509, Jan 2, 2020

Filed:

Sep 12, 2019

Appl. No.:

16/569527

Inventors:

- American Fork UT, US
Alan Winters - Lindon UT, US
Mardell Cheney - Highland UT, US
Ben Green - Murray UT, US
Chris Willis - Heber City UT, US

International Classification:

G06T 11/60
G06T 11/20

Abstract:

A visualization combination engine may be used to combine a first data visualization based on a first data set with a second data visualization based on a second data set. The combination process may be initiated by, for example, clicking and dragging the first data visualization onto the second data visualization. The visualization combination engine may create the combined data visualization without requiring the user to manually combine the first and second data sets. The combination may be carried out by identifying a key that is common between the two data sets and combining the first and second data sets into a combined data set based on the key, and then creating the combined data visualization based on the combined data set. One or more cues may be used during the process to provide helpful information and/or allow user selection of the properties of the combined data visualization.

US Patent:

20180040154, Feb 8, 2018

Filed:

Oct 17, 2017

Appl. No.:

15/786517

Inventors:

- American Fork UT, US
Alan Winters - Lindon UT, US
Mardell Cheney - Highland UT, US
Ben Green - Murray UT, US
Chris Willis - Heber City UT, US

International Classification:

G06T 11/60
G06T 11/20

Abstract:

A visualization combination engine may be used to combine a first data visualization based on a first data set with a second data visualization based on a second data set. The combination process may be initiated by, for example, clicking and dragging the first data visualization onto the second data visualization. The visualization combination engine may create the combined data visualization without requiring the user to manually combine the first and second data sets. The combination may be carried out by identifying a key that is common between the two data sets and combining the first and second data sets into a combined data set based on the key, and then creating the combined data visualization based on the combined data set. One or more cues may be used during the process to provide helpful information and/or allow user selection of the properties of the combined data visualization.

US Patent:

20170351407, Dec 7, 2017

Filed:

Aug 21, 2017

Appl. No.:

15/682536

Inventors:

- American Fork UT, US
Gary Gibb - Lindon UT, US
Alan Adams Winters - Lindon UT, US
Daren Thayne - Orem UT, US
Jeff Burtenshaw - West Jordan UT, US
Mardell Cheney - Highland UT, US

International Classification:

G06F 3/0484

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.