Abstract: Automated guided navigation page generation across a plurality of devices in a network includes receiving a named request associated with a first guided navigation page from a computing device at a server, evaluating freshness for a plurality of freshness tokens referenced in a request response data structure that stores a plurality of freshness tokens for each named request, responsively generating named request response data as one or more of an updated columnar data structure and an updated set of cached data, an updated set of cache data, or a response to the request using the set of cached data, and responding to the computing device with the automatically generated named request response data to automatically generate the first guided navigation page.

Abstract: Automated guided navigation page generation across a plurality of devices in a network includes receiving a named request associated with a first guided navigation page from a computing device at a server, evaluating freshness for a plurality of freshness tokens referenced in a request response data structure that stores a plurality of freshness tokens for each named request, responsively generating named request response data as one or more of an updated columnar data structure and an updated set of cached data, an updated set of cache data, or a response to the request using the set of cached data, and responding to the computing device with the automatically generated named request response data to automatically generate the first guided navigation page.

Abstract: A computer-implemented method includes accessing data from distinct data domains corresponding to different data sources, and determining a core dimension of the accessed data common to first and second distinct data domains. The method further includes generating a data set from the data sources using a columnar data generation engine, and deriving, from the data set via stateless processing, a first guided page including actionable elements depicting data derived from the first distinct data domain. The method further includes responsive to a user interaction with one of the actionable elements, providing, dependent on the common core dimension, direct navigation from the first to the second distinct data domain, and predicting, from the data set based on machine learning and prior to the user interaction, a second guided page that depicts data derived from the second distinct data domain and is presented responsive to the direct navigation.

Abstract: A computer-implemented method includes accessing data from distinct data domains corresponding to different data sources, and determining a core dimension of the accessed data common to first and second distinct data domains. The method further includes generating a data set from the data sources using a columnar data generation engine, and deriving, from the data set via stateless processing, a first guided page including actionable elements depicting data derived from the first distinct data domain. The method further includes responsive to a user interaction with one of the actionable elements, providing, dependent on the common core dimension, direct navigation from the first to the second distinct data domain, and predicting, from the data set based on machine learning and prior to the user interaction, a second guided page that depicts data derived from the second distinct data domain and is presented responsive to the direct navigation.

Abstract: A computer-implemented method includes generating, via a multi-user business collaboration platform, at least one guided navigation page based at least in part on data used to measure a goal associated with a workflow of a business. The method further includes facilitating direct navigation among a plurality of data domains in response to a user selection of one of a plurality of displayable actionable elements each associated with at least one core dimension of information predetermined to be pertinent to the continuation of the workflow of the business. The method further includes applying goal attainment algorithms to at least a portion of the data and recommending a candidate collaboration project in a user interface of the multi-user business collaboration platform. The candidate collaboration project includes team members selected from a list of team members associated with the workflow for the business.

Abstract: A computer-implemented method includes accessing data from distinct data domains corresponding to different data sources, and determining a core dimension of the accessed data common to first and second distinct data domains. The method further includes generating a data set from the data sources using a columnar data generation engine, and deriving, from the data set via stateless processing, a first guided page including actionable elements depicting data derived from the first distinct data domain. The method further includes responsive to a user interaction with one of the actionable elements, providing, dependent on the common core dimension, direct navigation from the first to the second distinct data domain, and predicting, from the data set based on machine learning and prior to the user interaction, a second guided page that depicts data derived from the second distinct data domain and is presented responsive to the direct navigation.

Abstract: A computer-implemented method includes generating, via a multi-user business collaboration platform, at least one guided navigation page based at least in part on data used to measure a goal associated with a workflow of a business. The method further includes facilitating direct navigation among a plurality of data domains in response to a user selection of one of a plurality of displayable actionable elements each associated with at least one core dimension of information predetermined to be pertinent to the continuation of the workflow of the business. The method further includes applying goal attainment algorithms to at least a portion of the data and recommending a candidate collaboration project in a user interface of the multi-user business collaboration platform. The candidate collaboration project includes team members selected from a list of team members associated with the workflow for the business.

Abstract: Configuring a set of guided documents for operation of a business activity based on a workflow for the activity, industry expertise, and a plurality of models of source data that is relevant to the business activity, wherein points of entry to access the guided documents are organized around one or more industry-specific data dimensions.

Abstract: Configuring guided pages in this document may include preparing a columnar-based multi-domain business intelligence data set, from a plurality of sources of data that can be independently formatted, by processing the data from the plurality of sources with a data calculation engine that organizing the columns to align with user specified and/or automatically determined dimensions that are associated with a business and populating the columns with data that relates to each of the dimensions from each of the plurality of sources of data, along with at least one displayable actionable element that activates a collaboration project, associated with at least one of the dimensions, in a user interface of a business collaboration platform.

Abstract: A computer-implemented method includes accessing data from distinct data domains corresponding to different data sources, and determining a core dimension of the accessed data common to first and second distinct data domains. The method further includes generating a data set from the data sources using a columnar data generation engine, and deriving, from the data set via stateless processing, a first guided page including actionable elements depicting data derived from the first distinct data domain. The method further includes responsive to a user interaction with one of the actionable elements, providing, dependent on the common core dimension, direct navigation from the first to the second distinct data domain, and predicting, from the data set based on machine learning and prior to the user interaction, a second guided page that depicts data derived from the second distinct data domain and is presented responsive to the direct navigation.

Abstract: Configuring guided pages in this document may include preparing a columnar-based multi-domain business intelligence data set, from a plurality of sources of data that can be independently formatted, by processing the data from the plurality of sources with a data calculation engine that organizing the columns to align with user specified and/or automatically determined dimensions that are associated with a business and populating the columns with data that relates to each of the user specified dimensions from each of the plurality of sources of data.

Abstract: Configuring guided pages in this document may include preparing a columnar-based multi-domain business intelligence data set, from a plurality of sources of data that can be independently formatted, by processing the data from the plurality of sources with a data calculation engine that organizing the columns to align with user specified and/or automatically determined dimensions that are associated with a business and populating the columns with data that relates to each of the user specified dimensions from each of the plurality of sources of data.

Abstract: Configuring guided pages in this document may include preparing a columnar-based multi-domain business intelligence data set, from a plurality of sources of data that can be independently formatted, by processing the data from the plurality of sources with a data calculation engine that organizing the columns to align with user specified and/or automatically determined dimensions that are associated with a business and populating the columns with data that relates to each of the dimensions from each of the plurality of sources of data, along with at least one displayable actionable element that activates a collaboration project, associated with at least one of the dimensions, in a user interface of a business collaboration platform.

Abstract: Configuring a set of guided documents for operation of a business activity based on a workflow for the activity, industry expertise, and a plurality of models of source data that is relevant to the business activity, wherein points of entry to access the guided documents are organized around one or more industry-specific data dimensions.

Abstract: Configuring a set of guided documents for operation of a business activity based on a workflow for the activity, industry expertise, and a plurality of models of source data that is relevant to the business activity, wherein points of entry to access the guided documents are organized around one or more industry-specific data dimensions.

Abstract: Configuring a set of guided documents for operation of a business activity based on a workflow for the activity, industry expertise, and a plurality of models of source data that is relevant to the business activity, wherein points of entry to access the guided documents are organized around one or more industry-specific data dimensions.

Abstract: Configuring a set of guided documents for operation of a business activity based on a workflow for the activity, industry expertise, and a plurality of models of source data that is relevant to the business activity, wherein points of entry to access the guided documents are organized around one or more industry-specific data dimensions.

Abstract: Configuring a set of guided documents for operation of a business activity based on a workflow for the activity, industry expertise, and a plurality of models of source data that is relevant to the business activity, wherein points of entry to access the guided documents are organized around one or more industry-specific data dimensions.

Abstract: The subject invention is directed to a database system for organizing large amounts of data to be accessed by a digital computer. More particularly, a free form type database, in the form of a summarized, multikey tree, is built from files stored on the computer. After a building operation, the user obtains specified information by using the summarized database. Information in the files is divided into three categories; that is, a dimension field which comprises data to be organized, a summary field which comprises a numeric quantity on which calculations can be performed, and a non-summary field which comprises other information associated with an input record. The internal nodes of the tree summarize and organize sets of input records. Methods are provided for reducing the amount of storage space used by cutting off the tree when the size of sets go below a given threshold, and sharing parts of the tree so that each record does not appear n! times in the database.

Abstract: The subject invention is directed to a database system for organizing large amounts of data to be accessed by a digital computer. More particularly, a free form type database, in the form of a summarized, multikey tree, is built from files stored on the computer. After a building operation, the user obtains specified information by using the summarized database. Information in the files is divided into three categories; that is, a dimension field which comprises data to be organized, a summary field which comprises a numeric quantity on which calculations can be performed, and a non-summary field which comprises other information associated with an input record. The internal nodes of the tree summarize and organize sets of input records. Methods are provided for reducing the amount of storage space used by cutting off the tree when the size of sets go below a given threshold, and sharing parts of the tree so that each record does not appear n! times in the database.