Abstract: Systems and methods for the exchange of information between an enterprise client and a partner within an enterprise environment are provided. In this exchange of information, the client selects, via a user interface, a subset of client data, as well as one or more screen sets, to share with a partner. Once the partner has accepted, the system then sends an account creation request or account login request to the partner. Once the partner is authenticated in the system with an account, the system creates an information exchange session for the partner, and provides, on a display of the partner's device, a user interface that shows the subset of the client data and the screen sets. Access to the rest of the customer's enterprise environment is restricted.

Abstract: An enhanced multidimensional data management system significantly reduces the resources required to convert a spreadsheet into an enterprise collaborative system. A spreadsheet may be imported as is without modifications. Additional information that cannot be automatically inferred about the data model used in the spreadsheet is obtained. Dimensions, timescale, and measure data are clearly defined and located. The spreadsheet is kept in the system in the form of both a spreadsheet and as a multidimensional data structure such as an online analytical processing (OLAP) cube or structure. This duality allows the spreadsheet to be manipulated as if it was an OLAP cube, modifying iterations within the dimensions, and the OLAP cube to be computed as if it was a spreadsheet.

Abstract: An enhanced multidimensional data management system significantly reduces the resources required to convert a spreadsheet into an enterprise collaborative system. A spreadsheet may be imported as is without modifications. Additional information that cannot be automatically inferred about the data model used in the spreadsheet is obtained. Dimensions, timescale, and measure data are clearly defined and located. The spreadsheet is kept in the system in the form of both a spreadsheet and as a multidimensional data structure such as an online analytical processing (OLAP) cube or structure. This duality allows the spreadsheet to be manipulated as if it was an OLAP cube, modifying iterations within the dimensions, and the OLAP cube to be computed as if it was a spreadsheet.

Abstract: Systems and methods for the exchange of information between an enterprise client and a partner within an enterprise environment are provided. In this exchange of information, the client selects, via a user interface, a subset of client data, as well as one or more screen sets, to share with a partner. Once the partner has accepted, the system then sends an account creation request or account login request to the partner. Once the partner is authenticated in the system with an account, the system creates an information exchange session for the partner, and provides, on a display of the partner's device, a user interface that shows the subset of the client data and the screen sets. Access to the rest of the customer's enterprise environment is restricted.

Abstract: An enhanced multidimensional data management system significantly reduces the resources required to convert a spreadsheet into an enterprise collaborative system. A spreadsheet may be imported as is without modifications. Additional information that cannot be automatically inferred about the data model used in the spreadsheet is obtained. Dimensions, timescale, and measure data are clearly defined and located. The spreadsheet is kept in the system in the form of both a spreadsheet and as a multidimensional data structure such as an online analytical processing (OLAP) cube or structure. This duality allows the spreadsheet to be manipulated as if it was an OLAP cube, modifying iterations within the dimensions, and the OLAP cube to be computed as if it was a spreadsheet.

Abstract: Techniques and mechanisms described herein provide for centralized communication for a project portfolio management platform.

Abstract: Systems and methods for the exchange of information between an enterprise client and a partner within an enterprise environment are provided. In this exchange of information, the client selects, via a user interface, a subset of client data, as well as one or more screen sets, to share with a partner. Once the partner has accepted, the system then sends an account creation request or account login request to the partner. Once the partner is authenticated in the system with an account, the system creates an information exchange session for the partner, and provides, on a display of the partner's device, a user interface that shows the subset of the client data and the screen sets. Access to the rest of the customer's enterprise environment is restricted.

Abstract: Systems and methods for predictive estimation within an enterprise environment are provided. An enterprise environment is maintained with a plurality of clients and associated client data. The system generates one or more statistical models by analyzing the client data in the enterprise environment using one or more statistical algorithms, then stores the statistical models in a model database. The system receives a prediction estimate request from one of the plurality of clients with respect to the associated client data for the client. The system then selects, using a clustering algorithm, a subset of the associated client data, as well as best statistical model from the one or more statistical models based at least on the subset of the associated client data. The system then applies the statistical model to the subset of client data to generate prediction estimates and provides a visual arrangement of them to the client.

Abstract: An enhanced multidimensional data management system significantly reduces the resources required to convert a spreadsheet into an enterprise collaborative system. A spreadsheet may be imported as is without modifications. Additional information that cannot be automatically inferred about the data model used in the spreadsheet is obtained. Dimensions, timescale, and measure data are clearly defined and located. The spreadsheet is kept in the system in the form of both a spreadsheet and as a multidimensional data structure such as an online analytical processing (OLAP) cube or structure. This duality allows the spreadsheet to be manipulated as if it was an OLAP cube, modifying iterations within the dimensions, and the OLAP cube to be computed as if it was a spreadsheet.

Abstract: An enhanced multidimensional data management system significantly reduces the resources required to convert a spreadsheet into an enterprise collaborative system. A spreadsheet may be imported as is without modifications. Additional information that cannot be automatically inferred about the data model used in the spreadsheet is obtained. Dimensions, timescale, and measure data are clearly defined and located. The spreadsheet is kept in the system in the form of both a spreadsheet and as a multidimensional data structure such as an online analytical processing (OLAP) cube or structure. This duality allows the spreadsheet to be manipulated as if it was an OLAP cube, modifying iterations within the dimensions, and the OLAP cube to be computed as if it was a spreadsheet.