A storage structure for data containing relational objects, as well as methods for retrieval and visualized display of data so stored are capable of recording relations among all objects in any scenario, as well as new relational states caused by changes and corresponding events happening in succession. The storage structure uses uniform formats to process information into logical and relational data, thereby contributing to subsequent characteristic analysis, supporting retrieval by objects and designated relational modes, and providing accurate display of information and its variations through versatile, visualized way.

A query method is provided and includes: acquiring association records, in which the association record is configured to indicate an execution area, execution time and user attribute data of an execution user, of a behavior; splitting the association record into behavior records based on attribute items included in the user attribute data of the association record, in which the behavior record is configured to indicate a mapping relationship between at least one of the attribute items and the execution area-the execution time; grouping the behavior records to determine behavior statistics information of each group; in which behavior records having the same attribute item, the same execution area and the same execution time belong to the same group; and displaying behavior statistics information of a target group in response to a query operation.

Some embodiments relate to a method for use in connection with governance of a plurality of data assets managed by a data processing system, the method comprising: using at least one computer hardware processor to perform: accessing a data governance policy comprising a first data standard (e.g., by obtaining information about the first standard stored in a database system); generating a first data asset collection at least in part by automatically selecting, from among the plurality of data assets managed by the data processing system and using at least one data asset criterion, one or more data assets that meet the at least one data asset criterion; associating the first data asset collection with the first data standard; and verifying whether at least one of the one or more data assets in the first data asset collection complies with the first data standard.

Methods, systems, and computer-readable storage media for providing a VPDL within a data exploration system, storing enterprise-provided data in the VPDL, the enterprise-provided data including enterprise data from an enterprise system and data lake data from an enterprise data lake, importing, from an external data source, external data, automatically identifying associations between a sub-set of the enterprise-provided data and a sub-set of the external data and storing correlation data in the VPDL in response to an association, and reading at least a portion of the enterprise-provided data, at least a portion of the external data, and at least a portion of the correlation data, the data exploration tool being configured to generate one or more of visualizations and analytics by processing the at least a portion of the enterprise-provided data, the at least a portion of the external data, and the at least a portion of the correlation data.

An engine for resolving a query from a user to provide a dynamic actionable dashboard in a business operating system includes an MLET database, a data interface, a logic configured to process incoming queries, fetch data in relation to those queries, and render an actionable dashboard having data resulting from the queries. The MLET database comprises a plurality of templates (“MLETs”), each MLET being associated with a unique identifier and including a mechanism for accessing data relating to that identifier. The logic processes queries into constructs having a tokens and configurable inputs. If the query includes a unique identifier associated with an MLET in the MLET database, the MLET is used to fetch data responding to the query. If the query includes a unique identifier not associated with an MLET in the MLET database, the logic creates a new MLET using operational intelligence and stores it in the MLET database.

In some embodiments, a program generates a query for a set of data from a dataset. The dataset includes a set of measures and a plurality of dimensions for categorizing the set of measures. The set of data includes a set of locations and measure values for a measure in the set of measures categorized according to a dimension in the plurality of dimensions. The program further sends the query to a computing system configured to manage the dataset. The program also receives the set of data from the computing system. The program further renders a visualization comprising a set of visual elements. Each visual element is configured to present a set of measure values for the measure associated with a location in the set of locations. The set of measure values are categorized according to the dimension. The program also presents the visualization on a display of the device.

A method, computer system, and a computer program product for operating at least one storage server. The present invention may include receiving an access request for at least one storage volume of at least one storage server. The present invention may include collecting data for the at least one storage volume, wherein the at least one storage volume has a corresponding unique volume identifier. The present invention may include storing at least the data for the at least one storage volume and the unique volume identifier in a database, the data being comprised of metadata and subset data, wherein the metadata is comprised of configuration and status information for the at least one storage volume, and wherein the subset data is a set of predefined selection criteria based on a respective computer server.

A method and system for providing profile-based data and visualization access through a semantic domain layer is disclosed. In some embodiments, the method includes receiving a user request to access data. The method further includes determining a user profile from a plurality of user profiles associated with the user. The method further includes extracting a first access level from a first set of access levels associated with the user profile. The method further includes mapping the user profile with a domain object from a plurality of domain objects, based on a second access level from the first set of access levels associated with the domain object. The method further includes selectively rendering at least a portion of the data requested in the user request to the user, in response to mapping the user profile with the domain object.

Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: receiving a plurality of snippets of a plurality of user reviews for a product, each respective snippet of the plurality of snippets relating to at least one respective user attribute category of a plurality of user attribute categories; creating a score for each respective snippet of the plurality of snippets based on: a probability of association between at least one user attribute category and one or more seed words, the one or more seed words describing one or more qualities of the product; and facilitating displaying, on a user device of a user, a first snippet of the plurality of snippets, the first snippet of the first plurality of snippets having a higher score of the scores for the plurality of snippets than another score of the scores for the plurality of snippets. Other embodiments are disclosed herein.

The example embodiments are directed to a system and method that applies knowledge developed by a subject matter expert with respect to a physical asset. In one example, the method includes receiving knowledge and issue resolution information developed of subject matter experts in association with historical issues for an asset, generating a plurality of data clusters for the asset based on the knowledge, wherein each historical issue of the asset is mapped to a cluster and includes a plurality of resolutions for the issue, receiving a new issue and new issue information, and processing the new issue by extracting keywords from the new issue information and assigning the new issue to a data cluster from among the plurality of data clusters based on the extracted keywords, and outputting, to a display, a cause of the new issue and potential solutions for the new issue.