Abstract: Disclosed are methods and computer systems to generate, update, traverse, and analyze a nodal data structure based on data associated with an entity. The methods and systems disclosed herein describe a server that can generate and link various nodes in a nodal network and parse data into unique data tables. The server then displays a web document having a set of words where each word corresponds to a data table. When a user interacts with a word within the web document, the server identifies a set of nodes associated with the word with which the user has interacted. The server then executes one or more analytical protocols using the identified nodes and displays the results.

Abstract: Disclosed are methods and computer systems to generate, update, traverse, and analyze a nodal data structure based on data associated with an entity. The methods and systems disclosed herein describe a server that can generate and link various nodes in a nodal network and parse data into unique data tables. The server then displays a web document having a set of words where each word corresponds to a data table. When a user interacts with a word within the web document, the server identifies a set of nodes associated with the word with which the user has interacted. The server then executes one or more analytical protocols using the identified nodes and displays the results.

Abstract: Disclosed methods and systems describe an analytics server that generates an inter-related nodal data structure. The analytics server receives an electronic template having a set of input fields, the electronic template identifying at least a portion of data stored within a database and its corresponding domain data table and a display attribute, the electronic template further identifying a database storing the data; retrieves the data from the database; parses the data into a set of unique domain data tables having a first criterion and a set of unique dimension tables having a second criterion; generates a nodal network comprising a set of nodes where each node represents at least a portion of the retrieved data, each node having metadata comprising a unique identifier corresponding to a unique domain table and a unique dimension table corresponding to data associated with each node; links one or more nodes based their respective metadata.

Abstract: Disclosed methods and systems describe an analytics server that generates an inter-related nodal data structure. The analytics server receives an electronic template having a set of input fields, the electronic template identifying at least a portion of data stored within a database and its corresponding domain data table and a display attribute, the electronic template further identifying a database storing the data; retrieves the data from the database; parses the data into a set of unique domain data tables having a first criterion and a set of unique dimension tables having a second criterion; generates a nodal network comprising a set of nodes where each node represents at least a portion of the retrieved data, each node having metadata comprising a unique identifier corresponding to a unique domain table and a unique dimension table corresponding to data associated with each node; links one or more nodes based their respective metadata.

Abstract: Methods and systems described herein allow a server to generate a nodal data structure by parsing data into a set of domain data tables, each domain data table corresponding to a domain having a first criterion, parsing each domain data table into a set of dimension data tables, each dimension data table corresponding to a dimension having a second criterion, and generating a nodal network comprising a set of nodes where each node represents at least a portion of the data, each node having metadata comprising an identifier corresponding to a particular domain data table and a particular dimension table corresponding to data associated with each node. Upon receiving a request, the server parses the request to identify a first subset of the set of nodes associated with the request and identifies a second subset of the set of nodes authorized to be accessed by the user computing device. The server then displays data associated with the second subset of the set of nodes.

Abstract: Disclosed methods and systems describe an analytics server that generates an inter-related nodal data structure. The analytics server receives an electronic template having a set of input fields, the electronic template identifying at least a portion of data stored within a database and its corresponding domain data table and a display attribute, the electronic template further identifying a database storing the data; retrieves the data from the database; parses the data into a set of unique domain data tables having a first criterion and a set of unique dimension tables having a second criterion; generates a nodal network comprising a set of nodes where each node represents at least a portion of the retrieved data, each node having metadata comprising a unique identifier corresponding to a unique domain table and a unique dimension table corresponding to data associated with each node; links one or more nodes based their respective metadata.

Abstract: Disclosed methods and systems describe an analytics server that generates an inter-related nodal data structure. The analytics server receives an electronic template having a set of input fields, the electronic template identifying at least a portion of data stored within a database and its corresponding domain data table and a display attribute, the electronic template further identifying a database storing the data; retrieves the data from the database; parses the data into a set of unique domain data tables having a first criterion and a set of unique dimension tables having a second criterion; generates a nodal network comprising a set of nodes where each node represents at least a portion of the retrieved data, each node having metadata comprising a unique identifier corresponding to a unique domain table and a unique dimension table corresponding to data associated with each node; links one or more nodes based their respective metadata.

Abstract: Disclosed are methods and computer systems to generate, update, traverse, and analyze a nodal data structure based on data associated with an entity. The methods and systems disclosed herein describe a server that can generate and link various nodes in a nodal network and parse data into unique data tables. The server then displays a web document having a set of words where each word corresponds to a data table. When a user interacts with a word within the web document, the server identifies a set of nodes associated with the word with which the user has interacted. The server then executes one or more analytical protocols using the identified nodes and displays the results.

Abstract: Disclosed are methods and computer systems to generate, update, traverse, and analyze a nodal data structure based on data associated with an entity. The methods and systems disclosed herein describe a server that can generate and link various nodes in a nodal network and parse data into unique domain tables. When the server receives a request to analyze the data, the server executes clustering algorithms to identify preferred nodes that correspond to one or more attributes within the received request. The server then executes one or more analytical protocols using the preferred nodes and displays the results.

Abstract: Disclosed methods and systems describe an analytics server that generates an inter-related nodal data structure. The analytics server receives an electronic template having a set of input fields, the electronic template identifying at least a portion of data stored within a database and its corresponding domain data table and a display attribute, the electronic template further identifying a database storing the data; retrieves the data from the database; parses the data into a set of unique domain data tables having a first criterion and a set of unique dimension tables having a second criterion; generates a nodal network comprising a set of nodes where each node represents at least a portion of the retrieved data, each node having metadata comprising a unique identifier corresponding to a unique domain table and a unique dimension table corresponding to data associated with each node; links one or more nodes based their respective metadata.

Abstract: Disclosed methods and systems describe an analytics server that generates an inter-related nodal data structure. The analytics server receives an electronic template having a set of input fields, the electronic template identifying at least a portion of data stored within a database and its corresponding domain data table and a display attribute, the electronic template further identifying a database storing the data; retrieves the data from the database; parses the data into a set of unique domain data tables having a first criterion and a set of unique dimension tables having a second criterion; generates a nodal network comprising a set of nodes where each node represents at least a portion of the retrieved data, each node having metadata comprising a unique identifier corresponding to a unique domain table and a unique dimension table corresponding to data associated with each node; links one or more nodes based their respective metadata.

Abstract: Disclosed methods and systems describe an analytics server that generates an inter-related nodal data structure. The analytics server receives an electronic template having a set of input fields, the electronic template identifying at least a portion of data stored within a database and its corresponding domain data table and a display attribute, the electronic template further identifying a database storing the data; retrieves the data from the database; parses the data into a set of unique domain data tables having a first criterion and a set of unique dimension tables having a second criterion; generates a nodal network comprising a set of nodes where each node represents at least a portion of the retrieved data, each node having metadata comprising a unique identifier corresponding to a unique domain table and a unique dimension table corresponding to data associated with each node; links one or more nodes based their respective metadata.

Abstract: Disclosed methods and systems describe an analytics server that generates an inter-related nodal data structure. The analytics server receives an electronic template having a set of input fields, the electronic template identifying at least a portion of data stored within a database and its corresponding domain data table and a display attribute, the electronic template further identifying a database storing the data; retrieves the data from the database; parses the data into a set of unique domain data tables having a first criterion and a set of unique dimension tables having a second criterion; generates a nodal network comprising a set of nodes where each node represents at least a portion of the retrieved data, each node having metadata comprising a unique identifier corresponding to a unique domain table and a unique dimension table corresponding to data associated with each node; links one or more nodes based their respective metadata.