Abstract: Embodiments described herein are generally related to computer data analytics, and computer-based methods of providing business intelligence or other data, and are particularly related to a system and method for providing a real-time speech recognition and native visualization tool, for use with data analytics environments. The described approach can be used to provide real-time data visualizations or other analytics based on a live conversation with a user using an on-device speech-to-text recognition engine. In accordance with an embodiment, the method includes: listening for audio received as input from a user; building an array of words associated with a sentence; determining whether the sentence is capable of being processed without additional server data and if so performing the step locally; and alternatively sending an input sentence to a server API, in order to determine an intent associated therewith for use by the server in returning relevant results.

Abstract: Embodiments described herein are generally related to computer data analytics, and computer-based methods of providing business intelligence or other data, and are particularly related to a system and method for providing ambient analytics information, for use with data analytics environments. In accordance with an embodiment, the system can leverage a real-time transcription of an interaction between one or more users, for example as part of a conversation, in combination with a large language model or knowledge service, to drive the surfacing of relevant data visualizations or other analytics information.

Abstract: In accordance with an embodiment, described herein is a system and method for providing a data analytics assistant, for use with a data analytics environment, and automatic generation of data analytics stories. In accordance with an embodiment a data analytics system or environment can be integrated with a digital assistant which provides natural language processing capabilities, for purposes of leveraging the natural language processing of a user's text or speech input, within a data analytics or data visualization project, for example while generating, modifying, or interacting with data visualizations, or generating a story or script that includes or is descriptive of data visualizations.

Abstract: Techniques are disclosed for querying, retrieval, and presentation of data. A data analytic system can enable a user to provide input, through a device to query data. The data analytic system can identify the semantic meaning of the input and perform a query based on the semantic meaning. The data analytic system can crawl multiple different sources to determine a logical mapping of data for the index. The index may include one or more subject areas, terms defining those subject areas, and attributes for those terms. The index may enable the data analytic system to perform techniques for matching terms in the query to determine a semantic meaning of the query. The data analytic system can determine a visual representation best suited for displaying results of a query determined by semantic analysis of an input string by a user.

Abstract: In accordance with an embodiment, described herein is a system and method for providing a chat-to-visualization user interface for use with a data analytics workbook assistant. A data analytics system or environment can be integrated with a digital assistant system or environment which provides natural language processing, for purposes of leveraging a user's text or speech input while generating, modifying, or interacting with data visualizations. The user can interact with the system using a chat-like conversation. Based upon a received input from the user as part of the conversation, the system can generate data comprising a resolved intent and entities, and locate an appropriate dataset. The system supports complex follow-up interactions or questions that pertain to previous responses combined with the curated data. The user can use modifiers to further enhance their questioning or analysis of the data, and incorporate resulting insights into their visualization project.

Abstract: In accordance with an embodiment, described herein are systems and methods for providing a data analytics workbook assistant and integration with data analytics environments. A data analytics system or environment can be integrated with a provider operating as an implementation of a provider framework which provides natural language processing, for purposes of leveraging a user's text or speech input, within a data analytics or data visualization project, for example while generating, modifying, or interacting with data visualizations. The method can, upon receiving the input, process, by the selected provider, a text input or a speech input of the input, to generate, modify, or interact with a data analytics information or visualization.

Abstract: Techniques are disclosed for querying, retrieval, and presentation of data. A data analytic system can enable a user to provide input, through a device to query data. The data analytic system can identify the semantic meaning of the input and perform a query based on the semantic meaning. The data analytic system can crawl multiple different sources to determine a logical mapping of data for the index. The index may include one or more subject areas, terms defining those subject areas, and attributes for those terms. The index may enable the data analytic system to perform techniques for matching terms in the query to determine a semantic meaning of the query. The data analytic system can determine a visual representation best suited for displaying results of a query determined by semantic analysis of an input string by a user.

Abstract: An example system and method for selectively conveying content via User Interface (UI) display screen sections of Business Intelligence (BI) software and for facilitating user interaction therewith, e.g., so as to impart usefulness or preference ratings thereto, which can then affect subsequently displayed content. An example method includes providing one or more UI controls enabling a user to provide an input query and to interact with resulting content (i.e., query results, also called search results), where the user interaction with the content provides information (e.g., context information) indicative of a usefulness or preference rating pertaining to the content; thereby enabling modifications to subsequently retrieved content in accordance with the usefulness or preference rating(s). Such rating(s) may be aggregated from plural users of an associated software application.

Abstract: Described herein are techniques for identifying highly relevant content for a user to view in the form of KPI cards and providing the relevant view to the user automatically or by suggestion. The KPIs of highest practical and statistical significance are provided when the user accesses the user interface. In some embodiments, when the user is viewing a KPI, other relevant KPIs may be provided for the user to view as suggestions. Further, in some embodiments, the user may be provided with the KPIs of significance based on anomaly detection, and the explanation for the anomaly as well as suggestions for remedying any issues may be provided to the user. The highly informational content can be surfaced through the use of the advanced machine learning algorithms described herein.

Abstract: In accordance with an embodiment, described herein is a system and method for providing dynamically-generated analytic data metrics or measures, referred to herein as smart measures, for use with a data analytics environment. A smart measure can be scoped to a dataset, and associated with a metadata that indicates an understanding of the scoped data or changes thereto of interest to particular users. A system can operate in accordance with a smart measure and associated rules to monitor its associated data, and broadcast relevant information to subscribers, such as, for example, anomalies, trends, or other notable changes. Smart measures can be automatically discovered, defined, or updated by the system, for example as dynamically-generated key performance indicators, based on an understanding of the dataset and/or information received from a community of users. Conditional formatting can be used in presenting the smart measure as, for example, a data metric or visualization.

Abstract: Techniques are disclosed for querying, retrieval, and presentation of data. A data analytic system can enable a user to provide input, through a device to query data. The data analytic system can identify the semantic meaning of the input and perform a query based on the semantic meaning. The data analytic system can crawl multiple different sources to determine a logical mapping of data for the index. The index may include one or more subject areas, terms defining those subject areas, and attributes for those terms. The index may enable the data analytic system to perform techniques for matching terms in the query to determine a semantic meaning of the query. The data analytic system can determine a visual representation best suited for displaying results of a query determined by semantic analysis of an input string by a user.

Abstract: A business intelligence (BI) server maintains a plurality of metadata objects to support the extract, transform and load (ETL) processes. These metadata objects includes a transparent view object, which takes a joined set of source tables and represents a data shape of the joined set of source tables using a transformation, and a ETL mapping association object that maps the transformation contained in the transparent view object to a target table. The BI server can then orchestrate the movement of data from source systems into the target data warehouses in a source and target system agnostic way.

Abstract: A computer-implemented method of executing a user query includes presenting a user interface to allow a user to enter a query, receiving a user-entered textual request through the interface, launching a search service to rewrite the textual request into a search query, sending the search query to a presentation server, receiving an answer to the query, and returning the answer to the user as a graphical representation. A computer-implemented method includes receiving a crawl request from a user, launching a crawl manager to monitor the crawl request and track statistics related to the crawl, starting a crawl task based upon the crawl request, indexing a business intelligence presentation server to create a data index, and storing the data index.

Abstract: Techniques are disclosed for querying, retrieval, and presentation of data. A data analytic system can enable a user to provide input, through a device to query data. The data analytic system can identify the semantic meaning of the input and perform a query based on the semantic meaning. The data analytic system can crawl multiple different sources to determine a logical mapping of data for the index. The index may include one or more subject areas, terms defining those subject areas, and attributes for those terms. The index may enable the data analytic system to perform techniques for matching terms in the query to determine a semantic meaning of the query. The data analytic system can determine a visual representation best suited for displaying results of a query determined by semantic analysis of an input string by a user.

Abstract: Described herein are techniques for identifying highly relevant content for a user to view in the form of KPI cards and providing the relevant view to the user automatically or by suggestion. The KPIs of highest practical and statistical significance are provided when the user accesses the user interface. In some embodiments, when the user is viewing a KPI, other relevant KPIs may be provided for the user to view as suggestions. Further, in some embodiments, the user may be provided with the KPIs of significance based on anomaly detection, and the explanation for the anomaly as well as suggestions for remedying any issues may be provided to the user. The highly informational content can be surfaced through the use of the advanced machine learning algorithms described herein.

Abstract: An example system and method for selectively conveying content via User Interface (UI) display screen sections of Business Intelligence (BI) software and for facilitating user interaction therewith, e.g., so as to impart usefulness or preference ratings thereto, which can then affect subsequently displayed content. An example method includes providing one or more UI controls enabling a user to provide an input query and to interact with resulting content (i.e., query results, also called search results), where the user interaction with the content provides information (e.g., context information) indicative of a usefulness or preference rating pertaining to the content; thereby enabling modifications to subsequently retrieved content in accordance with the usefulness or preference rating(s). Such rating(s) may be aggregated from plural users of an associated software application.

Abstract: An example system and method for selectively conveying content via User Interface (UI) display screen sections of Business Intelligence (BI) software. An example method includes displaying a UI display screen section within a UI display screen; providing a UI mechanism that allow specification of a condition; determining when the condition is met; and automatically redisplaying at least a portion of the UI display screen section in response to the determining, resulting in a redisplayed UI display screen section in response to the condition being met. The UI display screen section may include blogs or other activity feeds, visualizations, UI controls for manipulating the visualizations; for specifying conditions for redisplaying, i.e., bringing back the visualizations, etc.

Abstract: Techniques are disclosed for querying, retrieval, and presentation of data. A data analytic system can enable a user to provide input, through a device to query data. The data analytic system can identify the semantic meaning of the input and perform a query based on the semantic meaning. The data analytic system can crawl multiple different sources to determine a logical mapping of data for the index. The index may include one or more subject areas, terms defining those subject areas, and attributes for those terms. The index may enable the data analytic system to perform techniques for matching terms in the query to determine a semantic meaning of the query. The data analytic system can determine a visual representation best suited for displaying results of a query determined by semantic analysis of an input string by a user.

Abstract: An administration tool can be used to provide data flexibility in a business intelligence (BI) server that is associated with a data warehouse. The administration tool can display one or more data objects that are adapted to be imported from an application framework into a physical model maintained on the BI server. The administration tool can further map the one or more data objects in the physical model into a logical model, also maintained on the BI server, which corresponds to at least one target table in the data warehouse. Additionally, the administration tool can publish an extension input to an extender associated with the data warehouse based on the logical model, wherein the extender operates to generate one or more metadata extensions based on the extension input.

Abstract: Techniques are disclosed for querying, retrieval, and presentation of data. A data analytic system can enable a user to provide input, through a device to query data. The data analytic system can identify the semantic meaning of the input and perform a query based on the semantic meaning. The data analytic system can crawl multiple different sources to determine a logical mapping of data for the index. The index may include one or more subject areas, terms defining those subject areas, and attributes for those terms. The index may enable the data analytic system to perform techniques for matching terms in the query to determine a semantic meaning of the query. The data analytic system can determine a visual representation best suited for displaying results of a query determined by semantic analysis of an input string by a user.