Abstract: Methods and systems are provided for a tool that operates on a local user machine that is coupled to a remote storage. Data may be aggregated by the tool by combining raw data from multiple sources with different file types, where the data is stored in remote storage. Concepts and relationships existent within the inputted/loaded data may be learned by the tool. The data may be reconciled using the tool by a process of data scrubbing. The data may be analyzed using data manipulation techniques and statistical analysis. The work data flow from the data analysis may be captured by the tool and stored in the remote storage for later use. Visualizations (e.g., charts and graphs) may be generated by the tool for the analyzed data.

Abstract: Methods and systems are provided for a tool that operates on a local user machine that is coupled to a remote storage. Data may be aggregated by the tool by combining raw data from multiple sources with different file types, where the data is stored in remote storage. Concepts and relationships existent within the inputted/loaded data may be learned by the tool. The data may be reconciled using the tool by a process of data scrubbing. The data may be analyzed using data manipulation techniques and statistical analysis. The work data flow from the data analysis may be captured by the tool and stored in the remote storage for later use. Visualizations (e.g., charts and graphs) may be generated by the tool for the analyzed data.

Abstract: Work data flow, a step-by-step procedure by which data is manipulated in order to analyze the actual data, resulting from user requests is created by interactions with one or more representations of a domain-specific language. The domain-specific language features a full typing system and language compiler. The full typing system and language compiler is a functional expression language and all representations of which are isomorphic. User interactions with the domain-specific language result in a query generator thereby creating an execution plan represented by an abstract syntax tree.

Abstract: Methods and systems are provided for a tool that operates on a local user machine that is coupled to a remote storage. Data may be aggregated by the tool by combining raw data from multiple sources with different file types, where the data is stored in remote storage. Concepts and relationships existent within the inputted/loaded data may be learned by the tool. The data may be reconciled using the tool by a process of data scrubbing. The data may be analyzed using data manipulation techniques and statistical analysis. The work data flow from the data analysis may be captured by the tool and stored in the remote storage for later use. Visualizations (e.g., charts and graphs) may be generated by the tool for the analyzed data.