Systems and methods for making visual data representations actionable

    公开(公告)号:US10089368B2

    公开(公告)日:2018-10-02

    申请号:US14876427

    申请日:2015-10-06

    Abstract: The disclosed technology includes systems and methods for making visual representations actionable. This technology makes it possible to drill into data, identify records and take action directly, enhancing customized data visualization representations. The technology disclosed relates to a platform for ultra-fast, ad-hoc data exploration and faceted navigation on integrated, heterogeneous data sets. The disclosed systems and methods for adding and customizing quick actions make it possible for developers, admins, and ISVs to provide customized actionable visual data representations with direct linking for accessing data in a company's records and for linking to third party sites, without saving a new state on a server when dashboard elements are updated. The disclosed systems and methods for making data visualizations actionable in an analytics environment also make it possible to target multiple platforms—generating lenses and dashboards that let users take advantage and access data in a company's records and link to other websites.

    Typeahead and autocomplete for natural language queries

    公开(公告)号:US11055353B2

    公开(公告)日:2021-07-06

    申请号:US15885430

    申请日:2018-01-31

    Abstract: Embodiments are described for enabling a user to query a database using natural language and receive results without requiring the user to manipulate or know details of the database contents. The user is guided in the creation of the natural language query by suggested predetermined queries from a template. Natural language is parsed using the template. The approach allows a user's query words to be completed automatically from the template as the user inputs the words. The approach further allows the next suggested parts of the query to be automatically typed from the template ahead of the user's cursor. Other features provide feedback to the user for invalid or irrelevant queries that cannot be parsed, including suggesting complete predetermined queries from the template. The approach helps the user focus the query on exactly what the user seeks to learn from the database without complex, process-intensive parsing.

    PERSONALIZED DASHBOARD CHART FOR EMAIL SUBSCRIPTIONS

    公开(公告)号:US20210288934A1

    公开(公告)日:2021-09-16

    申请号:US17301709

    申请日:2021-04-12

    Abstract: A method for managing a user's email subscriptions has been developed. The method provides a user interface (UI) to the user that allows the user to view and select multiple stand-alone components across multiple dashboard displays for an email subscription to an email address. The user's selections are received via the UI and include one or more stand-alone components from a first dashboard display and one or more stand-alone components from a second dashboard display in the email subscription. The first dashboard display is not the same was the second dashboard display. A display of each of the subscribed stand-alone components is rendered periodically based on the user's preference. The rendered displays are combined into a single email message that is sent to the email address upon completion of the rendering of the displays.

    Actionable answer card in natural language query

    公开(公告)号:US11086893B2

    公开(公告)日:2021-08-10

    申请号:US15885351

    申请日:2018-01-31

    Abstract: System, method, and computer product embodiments are described for querying a database using natural language queries (NLQ) to produce actionable results in an answer card. The method allows a user to take further action with the answer card by editing the card contents, manipulating the way data is displayed, or querying the answer results for more details of the data. By the method, the user may continue exploration of the data, use the results to collaborate with others, or build a story from the data in a presentation format, such as a dashboard, while maintaining access to the real-time data of the database through the answer card. System and computer product embodiments implement the method.

    ACTIONABLE ANSWER CARD IN NATURAL LANGUAGE QUERY

    公开(公告)号:US20190236195A1

    公开(公告)日:2019-08-01

    申请号:US15885351

    申请日:2018-01-31

    CPC classification number: G06F16/248 G06F16/24573 G06F16/26

    Abstract: System, method, and computer product embodiments are described for querying a database using natural language queries (NLQ) to produce actionable results in an answer card. The method allows a user to take further action with the answer card by editing the card contents, manipulating the way data is displayed, or querying the answer results for more details of the data. By the method, the user may continue exploration of the data, use the results to collaborate with others, or build a story from the data in a presentation format, such as a dashboard, while maintaining access to the real-time data of the database through the answer card. System and computer product embodiments implement the method.

    Personalized dashboard chart for email subscriptions

    公开(公告)号:US11418473B2

    公开(公告)日:2022-08-16

    申请号:US17301709

    申请日:2021-04-12

    Abstract: A method for managing a user's email subscriptions has been developed. The method provides a user interface (UI) to the user that allows the user to view and select multiple stand-alone components across multiple dashboard displays for an email subscription to an email address. The user's selections are received via the UI and include one or more stand-alone components from a first dashboard display and one or more stand-alone components from a second dashboard display in the email subscription. The first dashboard display is not the same was the second dashboard display. A display of each of the subscribed stand-alone components is rendered periodically based on the user's preference. The rendered displays are combined into a single email message that is sent to the email address upon completion of the rendering of the displays.

    Personalized dashboard chart for email subscriptions

    公开(公告)号:US11005801B1

    公开(公告)日:2021-05-11

    申请号:US16826978

    申请日:2020-03-23

    Abstract: A method for managing a user's email subscriptions has been developed. The method provides a user interface (UI) to the user that allows the user to view and select multiple stand-alone components across multiple dashboard displays for an email subscription to an email address. The user's selections are received via the UI and include one or more stand-alone components from a first dashboard display and one or more stand-alone components from a second dashboard display in the email subscription. The first dashboard display is not the same was the second dashboard display. A display of each of the subscribed stand-alone components is rendered periodically based on the user's preference. The rendered displays are combined into a single email message that is sent to the email address upon completion of the rendering of the displays.

    TYPEAHEAD AND AUTOCOMPLETE FOR NATURAL LANGUAGE QUERIES

    公开(公告)号:US20190236217A1

    公开(公告)日:2019-08-01

    申请号:US15885430

    申请日:2018-01-31

    CPC classification number: G06F16/90328 G06F16/243 G06F17/2705 G06F17/2765

    Abstract: Embodiments are described for enabling a user to query a database using natural language and receive results without requiring the user to manipulate or know details of the database contents. The user is guided in the creation of the natural language query by suggested predetermined queries from a template. Natural language is parsed using the template. The approach allows a user's query words to be completed automatically from the template as the user inputs the words. The approach further allows the next suggested parts of the query to be automatically typed from the template ahead of the user's cursor. Other features provide feedback to the user for invalid or irrelevant queries that cannot be parsed, including suggesting complete predetermined queries from the template. The approach helps the user focus the query on exactly what the user seeks to learn from the database without complex, process-intensive parsing.

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