Abstract: A method may include obtaining a knowledge graph including entities, and determining, for the knowledge graph, a first state including a first selectable entity subset of the entities that are selectable by a user. The first selectable entity subset may include an entity. The method may further include receiving, from the user and via a graphical user interface (GUI), a selection of the entity from the first selectable entity subset, and responsive to the selection, adding the entity to a report schema. The method further includes restricting, by the GUI, a space of selectable entities addable to the knowledge graph to the first selectable entity subset. The report schema may be used to populate a report. The method may further include, responsive to the selection, transitioning the knowledge graph to a second state including a second selectable entity subset of the entities that are selectable by the user.

Abstract: A method including receiving a first command including both a data extraction expression and a first report configuration expression. The data extraction expression includes program code for extracting fields of a dataset of a data source. The first report configuration expression includes program code configured to populate cells of first dimensions of a first report and to generate a first tree including subset nodes including records of the dataset. The first command is executed by executing the data extraction expression on the dataset to generate the records. Executing the first command also includes executing the first report configuration expression on the records to generate the first tree. Executing the first command also includes populating, using the first report configuration expression and the first tree, the cells. Executing the first command also includes generating, in response to receiving the first command and by traversing the first tree, the first report.

Abstract: A method involves receiving a first command. The first command includes a data extraction expression applied to fields of a dataset of a data source. The first command also includes a first report configuration expression applied to first dimensions of a first report. The method also involves generating, by executing the data extraction expression on the dataset, records of the dataset. The method also involves generating, by executing the first report configuration expression on the records, a first tree of subsets of the records. The method also involves populating, using the first report configuration expression and the first tree of subsets, cells of the first dimensions to obtain first populated dimensions. The method also involves generating, in response to receiving the first command and by traversing the first tree of subsets, the first report including the first populated dimensions.

Abstract: A method including receiving a request for a report on a data set. The method also includes providing the report. The report includes a macro page having a subset of the data set. The method also includes converting the macro page into a primary tree data structure having levels. The method also includes buffering the primary tree data structure in a buffer to form a buffered tree data structure. The buffered tree data structure is buffered in a level order of the levels. The method also includes selecting a first micro page from the buffered tree data structure. The first micro page is configured for display on a user interface. The method also includes transmitting, to the user interface, the first micro page.

Abstract: A method including receiving a request for a report on a data set. The method also includes providing the report. The report includes a macro page having a subset of the data set. The method also includes converting the macro page into a primary tree data structure having levels. The method also includes buffering the primary tree data structure in a buffer to form a buffered tree data structure. The buffered tree data structure is buffered in a level order of the levels. The method also includes selecting a first micro page from the buffered tree data structure. The first micro page is configured for display on a user interface. The method also includes transmitting, to the user interface, the first micro page.

Abstract: A method may include obtaining a knowledge graph including entities, and determining, for the knowledge graph, a first state including a first selectable entity subset of the entities that are selectable by a user. The first selectable entity subset may include an entity. The method may further include receiving, from the user and via a graphical user interface (GUI), a selection of the entity from the first selectable entity subset, and responsive to the selection, adding the entity to a report schema. The method further includes restricting, by the GUI, a space of selectable entities addable to the knowledge graph to the first selectable entity subset. The report schema may be used to populate a report. The method may further include, responsive to the selection, transitioning the knowledge graph to a second state including a second selectable entity subset of the entities that are selectable by the user.

Abstract: A method involves receiving a first command. The first command includes a data extraction expression applied to fields of a dataset of a data source. The first command also includes a first report configuration expression applied to first dimensions of a first report. The method also involves generating, by executing the data extraction expression on the dataset, records of the dataset. The method also involves generating, by executing the first report configuration expression on the records, a first tree of subsets of the records. The method also involves populating, using the first report configuration expression and the first tree of subsets, cells of the first dimensions to obtain first populated dimensions. The method also involves generating, in response to receiving the first command and by traversing the first tree of subsets, the first report including the first populated dimensions.

Abstract: A method may include obtaining a knowledge graph including entities, and determining, for the knowledge graph, a first state including a first selectable entity subset of the entities that are selectable by a user. The first selectable entity subset may include an entity. The method may further include receiving, from the user and via a graphical user interface (GUI), a selection of the entity from the first selectable entity subset, and responsive to the selection, adding the entity to a report schema. The report schema may be used to populate a report. The method may further include, responsive to the selection, transitioning the knowledge graph to a second state including a second selectable entity subset of the entities that are selectable by the user.

Abstract: A method may include obtaining a table including a table schema including definitions of native fields, adding a value of a custom field to the table by inserting, in a native field, a native field value including (i) an identifier (ID) of the custom field and (ii) the value of the custom field, and storing a definition of the custom field in a custom field registry external to the table. The custom field may be undefined by the table schema. The method may further include receiving a request to perform an operation on the table, generating, from the request, a query on a subset of the native fields and the custom field, executing the query to obtain query results, and transmitting, in response to the request, the query results.

Abstract: Certain aspects of the present disclosure provide techniques for improving a user experience of an application. Embodiments include receiving user activity information related to activities of a user during use of the application. Embodiments include providing the user activity information as input to a predictive model. The predictive model may have been trained using historical activity data and historical solution data associated with a plurality of users to determine actionable solutions to issues related to use of the application. Embodiments include determining, based on output from the predictive model, an actionable solution to an issue related to use of the application by the user. Embodiments include providing the actionable solution to the user via a user interface associated with the application. The actionable solution may be provided without being initiated by the user.

Abstract: A method may include obtaining, from a user, an initial expression including an operator and an input extracted from a data source. The operator may be applied to the input. The method may further include obtaining, using a contextual mapping data structure, a contextualized expression including the input and the data source. The contextual mapping data structure may include a context corresponding to the user. The method may further include generating a result by evaluating the contextualized expression, obtaining, using a rule table, a validation rule corresponding to the contextualized expression, and triggering an alert in response to applying the validation rule to the result.

Abstract: A method to configure a software solution may include receiving a first specification of a type of configuration data items and a second specification of system selected user attributes associated with the type of configuration data items, and receiving a configuration data item that is used to configure a first localized version of the software solution. The method may further include receiving a contributing user attribute specification that specifies a first user attribute and a second user attribute of the system selected user attributes, and generating a search tag assigned to the configuration data item. The method may further include receiving a search request to search the configuration data items, selecting, in response to the search request, the configuration data item based on the search tag, and configuring, in response to selecting the configuration data item, a second localized version of the software solution based on the configuration data item.

Abstract: Embodiments presented herein provide techniques for rendering user-interface elements for an entity type based on a variation metamodel received in response to an API request. When a user invokes a function to access or create an entity, a user interface sends the API request to an API service. The API request identifies the entity type and is associated with context information about the user. The variation metamodel is selected by the API service based on the context information. The user interface receives and parses a response from the API service. The meta model includes metadata describing at least one aspect of a corresponding property of the entity type. Using the metadata as a guide, the user interface renders elements for the properties of the variation schema in a graphical user interface (GUI).

Abstract: A system includes (i) a configuration service executing on a computer processor and configured to select, based on a user attribute of a user, a configurable user interface, and select, based on the user attribute of the user, a configurable workflow, (ii) a contribution management system that generates a statistical measure of a plurality of users by tracking the plurality of users using the plurality of configurable user interfaces and the plurality of configurable workflows to perform a task according to a geographical region of the user, and verifies the configurable user interfaces and the configurable workflows based on the statistical measure, and (iii) a computer server configured to perform a task by at least receiving, via the configurable user interface, a user input, and executing, based on user input and according to the configurable workflow, multiple functional engines of the software solution.

Abstract: Certain aspects of the present disclosure provide techniques for improving a user experience of an application. Embodiments include receiving user activity information related to activities of a user during use of the application. Embodiments include providing the user activity information as input to a predictive model. The predictive model may have been trained using historical activity data and historical solution data associated with a plurality of users to determine actionable solutions to issues related to use of the application. Embodiments include determining, based on output from the predictive model, an actionable solution to an issue related to use of the application by the user. Embodiments include providing the actionable solution to the user via a user interface associated with the application. The actionable solution may be provided without being initiated by the user.

Abstract: A method for configuring a business management application (BMA) for managing financial aspects of a business entity. The method includes obtaining a business name of an unconfigured user of the BMA, wherein the unconfigured user is associated with the business entity, retrieving, by a computer processor, a search result from an Internet search engine using the business name as a search keyword, analyzing, by the computer processor, the search result to identify a business type of the unconfigured user, and generating, by the computer processor, a configuration setting of the BMA based on the business type, wherein the configuration setting is used by the BMA to generate a customized result specific to the business type.

Abstract: A method to configure a software solution may include receiving a first specification of a type of configuration data items and a second specification of system selected user attributes associated with the type of configuration data items, and receiving a configuration data item that is used to configure a first localized version of the software solution. The method may further include receiving a contributing user attribute specification that specifies a first user attribute and a second user attribute of the system selected user attributes, and generating a search tag assigned to the configuration data item. The method may further include receiving a search request to search the configuration data items, selecting, in response to the search request, the configuration data item based on the search tag, and configuring, in response to selecting the configuration data item, a second localized version of the software solution based on the configuration data item.

Abstract: The present disclosure relates to accessing data using application programming interface (API) calls. According to one embodiment, a method generally includes receiving, at the API, a request from a client device, where the requesting a data operation. Determining context data associated with the request. Receiving an entity schema based on the context data, where the entity schema includes a metamodel. Processing the request using the entity schema and metamodel, generating a response including the entity schema, and returning the response to the client device.

Abstract: A system includes (i) a configuration service executing on a computer processor and configured to select, based on a user attribute of a user, a configurable user interface, and select, based on the user attribute of the user, a configurable workflow, (ii) a contribution management system that generates a statistical measure of a plurality of users by tracking the plurality of users using the plurality of configurable user interfaces and the plurality of configurable workflows to perform a task according to a geographical region of the user, and verifies the configurable user interfaces and the configurable workflows based on the statistical measure, and (iii) a computer server configured to perform a task by at least receiving, via the configurable user interface, a user input, and executing, based on user input and according to the configurable workflow, multiple functional engines of the software solution.

Abstract: A system to configure a software solution involves a system that includes (i) a configuration service executing on a computer processor and configured to select, based on a user attribute of a user, a configurable user interface from multiple configurable user interfaces of the software solution, and select, based on the user attribute of the user, a configurable workflow from multiple configurable workflows of the software solution, (ii) a computer server configured to perform a pre-determined task by at least receiving, via the configurable user interface, a user input, and executing, based on user input and according to the configurable workflow, multiple functional engines of the software solution, and (iii) a data repository configured to store the multiple configurable user interfaces and the multiple configurable workflows.