Abstract: Various systems and methods are provided that display various graphs in an interactive user interface in substantially real-time in response to input from a user in order to determine information related to measured data points and provide the determined information to the user in the interactive user interface. For example, a computing device may be configured to retrieve data from one or more databases and generate one or more interactive user interfaces. The one or more interactive user interfaces may display the retrieved data in one or more graphs, such as time-series or scatterplots. The user interface may be interactive in that a user may manipulate one graph, which causes an identical or nearly identical manipulation of another displayed graph in real-time. The manipulations may occur even if the displayed graphs include data across different time ranges.

Abstract: Described herein are systems, methods, and non-transitory computer readable media for automating the transfer/syncing of datasets or other artifacts from one security domain (e.g., a low security side environment) to another security domain (e.g., a high security side environment) in a seamless manner that complies with requirements of a data transfer mechanism used to transfer data between the two security domains while ensuring data integrity and consistency between the two security domains.

Abstract: An interactive user interface for displaying projects comprising a collection of links specifying data to be displayed from a plurality of different applications and/or data sources. When loading a project for display, links are automatically parsed to identify the application and/or data source they are associated with. Retrieved data associated with the links is displayed in a format based upon that of their native application. The data may be displayed in an interactive format, allowing the user to change or manipulate the data in a manner that would be possible in the data's native application. A project may be expressed as a “project link,” comprising a text string, wherein the links of the assets associated with the project are included or embedded within the text string, and which may be shared between different users, and may function as a snapshot of the project.

Abstract: Methods and apparatuses related to federated search of multiple sources with conflict resolution are disclosed. A method may comprise obtaining a set of data ontologies (e.g., types, properties, and links) associated with a plurality of heterogeneous data sources; receiving a selection of a graph comprising a plurality of graph nodes connected by one or more graph edges; and transforming the graph into one or more search queries across the plurality of heterogeneous data sources. A method may comprise obtaining a first data object as a result of executing a first search query across a plurality of heterogeneous data sources; resolving, based on one or more resolution rules, at least the first data object with a repository data object; deduplicating data associated with at least the first data object and the repository data object prior to storing the deduplicated data in a repository that has a particular data model.

Abstract: Computer-implemented systems and methods are disclosed to interface with one or more storage devices storing a plurality of documents, wherein each of the plurality of documents is associated with one or more tags of one or more predefined hierarchies of tags, wherein the one or more hierarchies of tags include multiple dimensions. In accordance with some embodiments, a method is provided to identify one or more documents from the data storage devices. The method comprises acquiring, via an interface, a selection of one or more tags of the one or more predefined hierarchies of tags. The method further comprises identifying one or more documents from the data storage devices in response to the selection, the identified one or more documents having tags that have a relationship with the selected tags, and providing data corresponding to the identified documents for displaying in the interface.

Abstract: A model management system provides a centralized repository for storing and accessing models. The model management system receives an input to store a model object in a first model state generated based on a first set of known variables. The model management system generates a first file including a first set of functions defining the first model state and associates the first file with a model key identifying the model object. The model management system receives an input to store the model object in a second model state having been generated based on the first model state and a second set of known variables. The model management system generates a second file including a second set of functions defining the second model state and associates the second file with the model key. The model management system identifies available versions of the model object based on the model key.

Abstract: Various systems, methods, and media allow for graphical display of multivariate data in parallel coordinate plots and similar plots for visualizing data for a plurality of variables simultaneously. These systems, methods, and media can aggregate individual data points into curves between axes, significantly improving functioning of computer systems by decreasing the rendering time for such plots. Certain implementations can allow a user to examine the relationship between two or more variables, by displaying the data on non-parallel or other transformed axes.

Abstract: Systems and methods are provided for processing an input dataset or running an inference. The systems and methods may be configured to accept an input dataset, access one or more predefined logic plugins for processing the input dataset, process the input dataset based at least in part on a first predefined logic plugin, and generate the one or more outputs based at least in part of the processing of the input dataset. The one or more outputs may have a different format than a format of the input dataset.

Abstract: Systems and methods are disclosed for determining a propensity of an entity to take a specified action. In accordance with one implementation, a method is provided for determining the propensity. The method includes, for example, accessing one or more data sources, the one or more data sources including information associated with the entity, forming a record associated with the entity by integrating the information from the one or more data sources, generating, based on the record, one or more features associated with the entity, processing the one or more features to determine the propensity of the entity to take the specified action, and outputting the propensity.

Abstract: A computer system may be configured to: execute a first query associated with a first panel; display the first panel in a user interface based on first display settings of the first panel, the first panel displaying at least a portion of the result of the first query, the result of the first query associated with a variable; execute a second query associated with a second panel, wherein the second query refers to the variable associated with the first query; display the second panel in the user interface based on second display settings of the second panel, the second panel displaying at least a portion of the result of the second query; and in response to user input changing the displayed result in the first panel: re-execute the second query; and update the display of the second panel in the user interface based on results of the re-executed second query.

Abstract: Systems and methods are provided for implementing a machine learning approach to modeling entity behavior. Fixed information and periodically updated information may be utilized to predict the behavior of an entity. By incorporating periodically updated information, the system is able to maintain an up-to-date prediction of each entity's behavior, while also accounting for entity action with respect to ongoing obligations. The system may generate behavior scores for the set of entities. In some embodiments, the behavior scores that are generated may indicate the transactional risk associated with each entity. Using the behavior scores generated, a user may be able to assess the credit riskiness of individual entities and instruct one or more individuals assigned to the entities to take one or more actions based on the credit riskiness of the individual entities.

Abstract: A data normalization system receives a first string and a second string that are ordered according to an initial string ordering. The data normalization system analyzes, the first string and the second string based on a list of known character sets included in surnames, yielding an analysis, and determines, based on the analysis, that a set of characters in the second string matches a known character set included in the list of known character sets included in surnames. In response to determining that the set of characters in the second string matches a known character set included in the list of known character sets included in surname, the data normalization system orders the first string and the second string according to an updated string ordering.

Abstract: A system and a method are provided for collaborative data entry and integration. An operation performed by the system and the method include causing a collaborative interface for input to a spreadsheet to be provided via a user interface, receiving a data entry to the spreadsheet via the collaborative interface, validating the received data entry based on one or more validity rules associated with the spreadsheet, capturing a snapshot of the spreadsheet including the validated data entry, and causing at least the validated data entry of the spreadsheet to be integrated into datasets for one or more applications, at least based on the captured snapshot of the spreadsheet.

Abstract: A method of cohorting data sets can include accessing a plurality of data sets each associated with a different target item and a plurality of test items and receiving from a user a selection of a plurality of the data sets. For each of the selected data sets, the method may include determining one or more of the test items interacting with the respective target within a threshold parameter and identifying one or more matching test items of the plurality of test items associated with interactions with each of the targets of the selected data sets. The method can include generating a graphical user interface to display a representation of the matching test items, the selected data sets, or both and receiving a filter selection for reducing a number of the matching test items to a filtered one or more test items smaller than the number of matching test items.

Abstract: Systems and methods for entering and storing data. User input defining a data set is received. A data collection construct including a data entry user interface for inputting data in the data set is defined using the user input. A data storage construct including queries for retrieving the data is automatically defined based on the user input. Additional user input indicating modifications to the data set is received. The data collection construct, the data storage construct, and the queries are automatically updated based on the additional user input indicating modifications to the data set.

Abstract: Systems, techniques, and user interfaces are disclosed for an object-centric builder software that can utilize an ontology to design, configure, and build a workflow application that also references the ontology to perform a workflow. The ontology may serve as a data model for stored data associated with the particular workflow. The builder software may leverage the ontology to obtain advance knowledge of the availability and structure of the stored data that will be accessible to the workflow application at run-time, in order to build a workflow application that is well-tailored for that particular workflow. This approach may also result in flexible workflow applications that are easily built and maintained.

Abstract: A distributed, transactional database uses timestamps, such as logical clock values, for entry versioning and transaction management in the database. To write to the database, a service requests a timestamp to be inserted into the database with a new version of data. During a backup procedure, a cleanup process is paused, issuing new timestamps is paused, and a backup timestamp is generated, which results in an effective backup copy. During a restore of a backup, a snapshot of the database is loaded and any entries older than the backup timestamp are deleted, which ensures that a consistent restore has occurred.

Abstract: Embodiments of the present disclosure relate to a data analysis system that may automatically generate memory-efficient clustered data structures, automatically analyze those clustered data structures, automatically tag and group those clustered data structures, and provide results of the automated analysis and grouping in an optimized way to an analyst. The automated analysis of the clustered data structures (also referred to herein as data clusters) may include an automated application of various criteria, rules, indicators, or scenarios so as to generate scores, reports, alerts, or conclusions that the analyst may quickly and efficiently use to evaluate the groups of data clusters.

Abstract: In one embodiment, a mobile data analysis system generates mobile reports. In this context, a mobile report represents information collected by a mobile device user and provided as input to a report form displayed by an associated mobile device. The collected information may, for example, include information relating to an activity or event, information relating to a particular person, entity, or location, or any combination thereof. A mobile report may be based on a report template. A report template defines one or more data fields and other property information to be included in a mobile report. A mobile report may be sent to a server to generate one or more data objects, and one or more data object links between the data objects from a first mobile report, the data objects from a second mobile report, and exiting data objects that are maintained at the server.

Abstract: User interfaces are provided for improved data optimization. A model user interface can be used to generate models based on a historical data file based on modeling details and filters specified by a user. The user can save the models and apply the models to optimize a data file. The user can specify optimization details and see visualizations of the results.