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System and Method to Synchronize and Prune a Large Data Tree with a Single Click in a Data Widget on a Dashboard

IP.com Disclosure Number: IPCOM000241996D
Publication Date: 2015-Jun-12
Document File: 6 page(s) / 1M

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a function that enables a user, with just a single-click on a data widget shown in an analytics dashboard, to filter the data model tree and show the corresponding data.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 52% of the total text.

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System and Method to Synchronize and Prune a Large Data Tree with a Single Click in a Data Widget on a Dashboard

Many business analytics data models are used to create dashboards or perform analyses. The data models contain large amounts of data items, organized in many containers with deep hierarchies. Tree controls are the most commonly used methods to display and use the data models. From these deep and wide data models, the author/analyst obtains data and adds the contents to a dashboard.

Once a widget on the canvas contains data, users might forget the original location of the data in the hierarchical data model (tree). This can be because a significant amount of time has passed since the user looked at the tree control or the user navigated away from the tree without making note of the location, so the user does not remember, or the user did not create the dashboard and needs to find the related data in the data tree.

Another problem is that many of these tree controls can become quite deep ; therefore, navigating it becomes cumbersome, difficult, and frustrating for the user to identify the information that is of relevance to the current data view .

Existing solutions include applying a "search" or "find" function to the tree. The drawback is that in Business Analytics data models, many data items have the same name, but are located in different parts of the hierarchy, so a simple find or search can be time consuming. Another approach, scrolling the tree to make the currently selected file visible, does not filter/prune the tree; it simply moves the data node into view. The tree is still around it, which does not help in focusing and honing-in on the current item.

Additionally, it does not provide a means to prune the tree even further based on the selection of content within the open file .

A more efficient method is needed to enable users to see relevant data that fits and augments the current data view . A solution does not exist wherein a user, with just a single click, can filter/prune a data tree based on the data used in a data widget.

The novel contribution is a function that enables a user, with just a single-click on a data widget shown in an analytics dashboard, to filter the data model tree and show the corresponding data. This function allows the user to interact with only the relevant data for the data of that widget. With an additional click on a data item within the widget, the user can enhance the tree to show that data item in the tree as well as related content at a deeper level. This type of synchronization provides a contextual version of the tree that is relevant to the content in the data widget.

To implement the novel function:


1. The user creates a data widget; the metadata about that widget is known, as well as the data elements contained within the

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widget

2. When clicking on the button to synchronize, the information (f...