Abstract: An automated, multi-stage decommissioning method for business intelligence artifacts may comprise generating a classification for a business intelligence artifact in a business intelligence environment; determining, based on the classification, whether the business intelligence artifact is a target artifact to be decommissioned; and if the business intelligence artifact is determined to be a target artifact, then initiating a decommissioning process on the target artifact.

Abstract: In various implementations, local identifiers associated with users may be utilized to enable access one or more functions in a Business Intelligence (BI) Environment. A mapping may be generated to associate local identifiers and users. The mapping may be utilized to enable access in the BI environment by retrieving the local identifier from a mapping and enabling access in the BI environment based on the local identifier. In various implementations, a user may access the system as another user.

Abstract: In various implementations, improvement of a business intelligence ecosystem may include analyzing component(s) of a business intelligence ecosystem, identifying candidate improvements, applying at least a portion of candidate improvements, and/or verifying effects of the candidate improvements. Candidate improvements for business intelligence artifact(s), underlying data sources, BI environment configurations, metadata models, and/or computing resources may be analyzed and identified.

Abstract: In various implementations, local identifiers associated with users may be utilized to enable access one or more functions in a Business Intelligence (BI) Environment. A mapping may be generated to associate local identifiers and users. The mapping may be utilized to enable access in the BI environment by retrieving the local identifier from a mapping and enabling access in the BI environment based on the local identifier. In various implementations, a user may access the system as another user.

Abstract: In various implementations, a supplemental system may be provided. The supplemental system may be coupled to business intelligence environment(s) to facilitate deployment, version control, testing, and/or other processes. In some implementations, the supplemental system may be communicably coupled to an external version control. The external version control may store one or more versions of components of the business intelligence environment(s) and the supplemental system may utilize the versions to perform one or more operations, such as, but not limited to, facilitating deployment, version controlling, and/or testing. In some implementations, the supplemental system may utilize information from a ticket manager in deployments of BI Artifact(s).

Abstract: In various implementations, a supplemental system may be provided. The supplemental system may be coupled to business intelligence environment(s) to facilitate visual identification of meaningful differences. In some implementations, expressions to exclude may be identified and specifications associated with BI Artifacts may be instrumented based on the expressions to exclude. Enhanced Business Intelligence Artifact Outputs may be generated to visually identify differences between BI Artifact Outputs that are not associated with expressions to exclude.

Abstract: In various implementations, local identifiers associated with users may be utilized to enable access one or more functions in a Business Intelligence (BI) Environment. A mapping may be generated to associate local identifiers and users. The mapping may be utilized to enable access in the BI environment by retrieving the local identifier from a mapping and enabling access in the BI environment based on the local identifier. In various implementations, a user may access the system as another user.

Abstract: In various implementations, improvement of a business intelligence ecosystem may include analyzing component(s) of a business intelligence ecosystem, identifying candidate improvements, applying at least a portion of candidate improvements, and/or verifying effects of the candidate improvements. Candidate improvements for business intelligence artifact(s), underlying data sources, BI environment configurations, metadata models, and/or computing resources may be analyzed and identified.

Abstract: In various implementations, a supplemental system may be provided. The supplemental system may be coupled to business intelligence environment(s) to facilitate deployment, version control, testing, and/or other processes.

Abstract: A method and system is provided for facilitating ticket exchange by validating ticket authenticity. Images of the barcodes of tickets are captured and decoded so that the encoded ticket information may be analyzed. Encoded ticket information is compared to event ticket information stored in a ticketing database, and the result is transmitted to prospective buyers to ensure authenticity and establish confidence in the sale. Tickets may also be pre-validated by ticket holders or designated sellers of ticketing companies, who are located near the event venue. Buyers interested in purchasing tickets may locate pre-validated tickets using GPS.

Abstract: In various implementations, a supplemental system may be provided. The supplemental system may be coupled to business intelligence environment(s) to facilitate deployment, version control, testing, and/or other processes.

Abstract: In various implementations, local identifiers associated with users may be utilized to enable access one or more functions in a Business Intelligence (BI) Environment. A mapping may be generated to associate local identifiers and users. The mapping may be utilized to enable access in the BI environment by retrieving the local identifier from a mapping and enabling access in the BI environment based on the local identifier. In various implementations, a user may access the system as another user.

Abstract: Methods for automatically testing a business intelligence artifact include authoring a business intelligence artifact selected from the group consisting of a report specification, an analysis cube, and a metadata model; creating an assertion to verify the proper functioning of the business intelligence artifact; and testing, with an automated agent interfaced with the business intelligence system, the business intelligence artifact to verify its proper functioning by determining whether the conditions of the assertion are satisfied upon execution of the business intelligence artifact in the business intelligence system.

Abstract: In various implementations, local identifiers associated with users may be utilized to enable access one or more functions in a Business Intelligence (BI) Environment. A mapping may be generated to associate local identifiers and users. The mapping may be utilized to enable access in the BI environment by retrieving the local identifier from a mapping and enabling access in the BI environment based on the local identifier. In various implementations, a user may access the system as another user.

Abstract: A method and system is provided for facilitating ticket exchange by validating ticket authenticity. Images of the barcodes of tickets are captured and decoded so that the encoded ticket information may be analyzed. Encoded ticket information is compared to event ticket information stored in a ticketing database, and the result is transmitted to prospective buyers to ensure authenticity and establish confidence in the sale. Tickets may also be pre-validated by ticket holders or designated sellers of ticketing companies, who are located near the event venue. Buyers interested in purchasing tickets may locate pre-validated tickets using GPS.

Abstract: In various implementations, a supplemental system may be provided. The supplemental system may be coupled to business intelligence environment(s) to facilitate deployment, version control, testing, and/or other processes.

Abstract: Methods for automatically testing a business intelligence artifact include authoring a business intelligence artifact selected from the group consisting of a report specification, an analysis cube, and a metadata model; creating an assertion to verify the proper functioning of the business intelligence artifact; and testing, with an automated agent interfaced with the business intelligence system, the business intelligence artifact to verify its proper functioning by determining whether the conditions of the assertion are satisfied upon execution of the business intelligence artifact in the business intelligence system.

Abstract: A method for providing automatic version control to a business intelligence system includes receiving business metric data from a business intelligence system, creating an initial version of a business intelligence artifact derived from the received business metric data, automatically storing the initial version of the business intelligence artifact with a source control system, detecting a request to the business intelligence system to modify the initial version of the business intelligence artifact, creating a subsequent version of the business intelligence artifact that includes the requested modification, and automatically storing the subsequent version of the business intelligence artifact with the source control system.

Abstract: Methods for automatically testing a business intelligence artifact include authoring a business intelligence artifact selected from the group consisting of a report specification, an analysis cube, and a metadata model; creating an assertion to verify the proper functioning of the business intelligence artifact; and testing, with an automated agent interfaced with the business intelligence system, the business intelligence artifact to verify its proper functioning by determining whether the conditions of the assertion are satisfied upon execution of the business intelligence artifact in the business intelligence system.

Abstract: A method for automatically testing a business intelligence artifact includes receiving business metric data from a business intelligence system, creating a business intelligence artifact derived from the received business metric data, executing the business intelligence artifact to generate a business intelligence output populated with information related to the business metric data, creating at least one test case for the business intelligence artifact, the test case having at least one assertion associated with the business intelligence output to verify the proper functioning of the business intelligence artifact, testing, with an automated agent interfaced with the business intelligence system, the business intelligence artifact for errors by determining whether the output generated by the current version of the business intelligence artifact satisfies the conditions of the assertion after execution of the business intelligence artifact; and if errors are detected, correcting the errors to create a subsequ