Abstract:
Example methods and systems are directed to demand prediction with respect to food items. First user data and second user data of a food establishment are accessed. The first user data includes a sequence of first data points for an observed period and the second user data includes a second data point for a prediction period. The first user data and the second user data are enriched with complementary feature values to generate a first input data set and a second input data set, respectively. A multi-input machine learning model generates a predicted value of a target variable for the prediction period. The multi-input machine learning model comprises a first component that processes the first input data set and a second component that processes the second input data set. Output data including the predicted value of the target variable is presented at a user device.
Abstract:
A method and system including one or more data sources; a memory storing processor-executable process steps; and a processor to execute the processor-executable process steps to cause the system to: initiate a business intelligence (BI) tool; connect to a BI platform; receive selection of an initiate query control; retrieve one or more database coupling components, wherein each database coupling component corresponds to a data source; display the retrieved one or more database coupling components; and receive selection of at least one of the retrieved one or more database coupling components to provide data in response to execution of a query. Numerous other aspects are provided.
Abstract:
Example embodiments of a system and method for analyzing and causing presentation of an impact or influence of a value of a dimension on a data set are described. In an example embodiment, a data set organized according to a first dimension is accessed from a data store. An influence value indicating an influence on the data set of at least one value of the first dimension is calculated. At least one of an influence rating and an influence ranking of the at least one value of the first dimension is determined based on the calculated influence value. The influence rating or ranking of the at least one value relative to other values of the first dimension is caused to be presented in conjunction with at least a portion of the data set organized according to the first dimension.
Abstract:
Methods, systems, and computer-readable storage media for receiving, by an IRFT, a commit, the commit including one or more code changes to the project, in response to receiving the commit, providing, by the IRFT, a dependency map, the dependency map defining dependencies between the project and one or more of one or more other projects, one or more packages, and one or more bundles, generating, by the IRFT, a project test set based on the dependency map, the project test set including one or more projects each having one or more features to be regression tested, and initiating, by the IRFT, execution of regression testing of features of projects included in the project test set, wherein regression testing comprises executing a sub-set of test cases based on priority.
Abstract:
The disclosure generally describes computer-implemented methods, software, and systems, including a method for providing suggestions. Transaction information is received that is associated with user actions during use by a user of a business intelligence tool. Each user action is associated with an operation in a particular stage of processing on business data obtained from one or more databases. The transaction information for a particular user action includes a user identifier identifying the user performing the particular user action, stage information, an associated operation, and parameters. The transaction information is stored. Subsequent user actions are monitored, including determining a time at which stage conditions match stage information in the stored transaction information. In response to determining matching stage conditions, pertinent transactions are identified. Suggestions are created. Each suggestion is associated with groups of one or more transactions of the pertinent transactions. The suggestions are provided for presentation to the user.
Abstract:
In dynamic analysis of entities, a dataset including a set of entities and a corresponding set of parameters with values are received in an analytics application. An input for shortlisting an entity for a first position is received. Weights are assigned to the set of parameters based on a first set of criteria iteratively. Weighted values based on the weights and the values for the set of parameters are computed. Weighted average corresponding to the set of entities are computed. The set of entities in descending order of the weighted average are sorted. A first entity from the sorted set of entities in a user interface as a shortlisted entity for the first position is rendered.
Abstract:
Collaboration application includes a set of shared documents shared with users with different authorization rights. A request to provide relevant shared documents from the set of shared documents is received. Document ranks corresponding to the relevant shared documents are determined. The document ranks are determined based on weighted document factors related to the set of shared documents. A ranked list of the relevant shared documents is provided according to the determined document ranks. User rank for users in relation to a document from the relevant shared documents is determined. The user ranks are determined based on user factors and weights of the user factors. The user factors are related to authorization rights of the users to the document, sharing characteristics of the document and the users, and measurements over interactions of the users with documents from the set of shared documents that are shared with the users.
Abstract:
Methods, systems, and computer-readable storage media for receiving, by an IRFT, a commit, the commit including one or more code changes to the project, in response to receiving the commit, providing, by the IRFT, a dependency map, the dependency map defining dependencies between the project and one or more of one or more other projects, one or more packages, and one or more bundles, generating, by the IRFT, a project test set based on the dependency map, the project test set including one or more projects each having one or more features to be regression tested, and initiating, by the IRFT, execution of regression testing of features of projects included in the project test set, wherein regression testing comprises executing a sub-set of test cases based on priority.
Abstract:
Collaboration application includes a set of shared documents shared with users with different authorization rights. A request to provide relevant shared documents from the set of shared documents is received. Document ranks corresponding to the relevant shared documents are determined. The document ranks are determined based on weighted document factors related to the set of shared documents. A ranked list of the relevant shared documents is provided according to the determined document ranks. User rank for users in relation to a document from the relevant shared documents is determined. The user ranks are determined based on user factors and weights of the user factors. The user factors are related to authorization rights of the users to the document, sharing characteristics of the document and the users, and measurements over interactions of the users with documents from the set of shared documents that are shared with the users.
Abstract:
Various embodiments of systems and methods to provide data visualization in a tile-based graphical user interface are described herein. In one aspect, a document to be rendered based upon a query is retrieved. A plurality of infographics is extracted from an information object associated with the document Further, ranks for the plurality of infographics are determined based on attributes of the plurality of infographics and corresponding boosting values. The plurality of infographics is rendered in an order based on the determined ranks in a tile of the tile-based graphical user interface.