Abstract: Systems, methods, and non-transitory computer-readable media can obtain data form one or more data sources. The data from the one or more data sources can be processed into one or more data records. Each data record can include at least an identification, a data type, and data to be stored. The data records can be organized into a tree data structure. The tree data structure can be stored as an intermediate data layer in a data analysis platform.

Abstract: Systems and methods are provided for performing context-based keyword searching using a search bar. Based on search terms received via the search bar, the system may be configured to provide suggested search parameters to associate with that search term. The suggested search parameters may each include a type of data and/or a filter to associate with the search term (e.g., name, phone number, date of birth, etc.). The one or more suggested search parameters may be identified based on the search term itself, a list of possible types of data or filters, a preliminary search of one or more datasets, a record of one or more previous searches performed, requirements associated with one or more searchable datasets, the format of user input received via the search bar, and/or one or more other factors.

Abstract: Systems and methods are provided for identifying relevant information for an entity, referred to as a seed entity. A plurality of search queries can be generated each comprising a property of a seed entity or one of the entities associated with the seed entity (seed-linked entities). Preferably, a collection of search queries includes ones representing different properties of the seed entity and properties of different seed-linked entities. Optionally, the collection of search queries is optimized to reduce search burden. Searches can then be conducted with the search queries in one or more data sources to obtain a plurality of search results, wherein each search result comprises a hit entity and one or more entities associated with the hit entity (hit-linked entity).

Abstract: Systems and methods for a central user interface for accessing, and upgrading of, dataset integrations. An example method includes accessing, by a system of one or more processors, datasets stored via respective outside devices or systems. The datasets are integrated by the system according to respective integration tiers, with each integration tier being associated with, at least, a respective subset of search functionality enabled via the system. An interactive user interface is presented via a user device, with the interactive user interface presenting summary information. The interactive user interface further enables adjustment of a particular dataset from a first integration tier to a second integration tier.

Abstract: Systems and methods are provided for performing context-based keyword searching using a search bar. Based on search terms received via the search bar, the system may be configured to provide suggested search parameters to associate with that search term. The suggested search parameters may each include a type of data and/or a filter to associate with the search term (e.g., name, phone number, date of birth, etc.). The one or more suggested search parameters may be identified based on the search term itself, a list of possible types of data or filters, a preliminary search of one or more datasets, a record of one or more previous searches performed, requirements associated with one or more searchable datasets, the format of user input received via the search bar, and/or one or more other factors.

Abstract: Systems and methods are provided for performing context-based keyword searching using a search bar. Based on search terms received via the search bar, the system may be configured to provide suggested search parameters to associate with that search term. The suggested search parameters may each include a type of data and/or a filter to associate with the search term (e.g., name, phone number, date of birth, etc.). The one or more suggested search parameters may be identified based on the search term itself, a list of possible types of data or filters, a preliminary search of one or more datasets, a record of one or more previous searches performed, requirements associated with one or more searchable datasets, the format of user input received via the search bar, and/or one or more other factors.

Abstract: Systems and methods for a central user interface for accessing, and upgrading of, dataset integrations. An example method includes accessing, by a system of one or more processors, datasets stored via respective outside devices or systems. The datasets are integrated by the system according to respective integration tiers, with each integration tier being associated with, at least, a respective subset of search functionality enabled via the system. An interactive user interface is presented via a user device, with the interactive user interface presenting summary information. The interactive user interface further enables adjustment of a particular dataset from a first integration tier to a second integration tier.

Abstract: Systems and methods are provided for identifying relevant information for an entity, referred to as a seed entity. A plurality of search queries can be generated each comprising a property of a seed entity or one of the entities associated with the seed entity (seed-linked entities). Preferably, a collection of search queries includes ones representing different properties of the seed entity and properties of different seed-linked entities. Optionally, the collection of search queries is optimized to reduce search burden. Searches can then be conducted with the search queries in one or more data sources to obtain a plurality of search results, wherein each search result comprises a hit entity and one or more entities associated with the hit entity (hit-linked entity).

Abstract: Systems, methods, and non-transitory computer-readable media can obtain data form one or more data sources. The data from the one or more data sources can be processed into one or more data records. Each data record can include at least an identification, a data type, and data to be stored. The data records can be organized into a tree data structure. The tree data structure can be stored as an intermediate data layer in a data analysis platform.

Abstract: Systems and methods are provided for identifying relevant information for an entity, referred to as a seed entity. A plurality of search queries can be generated each comprising a property of a seed entity or one of the entities associated with the seed entity (seed-linked entities). Preferably, a collection of search queries includes ones representing different properties of the seed entity and properties of different seed-linked entities. Optionally, the collection of search queries is optimized to reduce search burden. Searches can then be conducted with the search queries in one or more data sources to obtain a plurality of search results, wherein each search result comprises a hit entity and one or more entities associated with the hit entity (hit-linked entity).

Abstract: Systems, methods, and non-transitory computer-readable media can obtain data form one or more data sources. The data from the one or more data sources can be processed into one or more data records. Each data record can include at least an identification, a data type, and data to be stored. The data records can be organized into a tree data structure. The tree data structure can be stored as an intermediate data layer in a data analysis platform.