Abstract: A system and method are provided for processing hierarchical data. The method includes receiving a first set of data from a plurality of sources via the communications module, each source providing data records for entities in an organizational hierarchy. The method also includes processing the first set of data to generate a preliminary data file for the entities by combining the data records to populate fields in the data file and receiving a second set of data from at least one additional source via the communications module, each additional source providing additional data records for the entities.

Abstract: A system and method are provided for processing hierarchical data. The method includes receiving a first set of data from a plurality of sources, each source providing data records for entities in an organizational hierarchy processing the first set of data to generate a preliminary data file for the entities by combining the data records to populate fields in the data file and receiving a second set of data from at least one additional source, each additional source providing additional data records for the entities. A hierarchical connectivity platform may use machine learning to analyze the data. The second set of data is processed to update missing fields in the preliminary data file, for the entities, to generate an output data file comprising a list of the entities in the hierarchy with the associated data fields for each entity; and providing the output data file to a platform.

Abstract: A system and method are provided for processing hierarchical data. The method includes receiving a first set of data from a plurality of sources via the communications module, each source providing data records for entities in an organizational hierarchy. The method also includes processing the first set of data to generate a preliminary data file for the entities by combining the data records to populate fields in the data file and receiving a second set of data from at least one additional source via the communications module, each additional source providing additional data records for the entities.

Abstract: A deployment optimization model that identifiers and categorizes issues (such as key cost and quality drivers) in information handling system deployment and provisioning. The deployment optimization model is used within a deployment and evaluation tool which provides based on this model, a set of processes and tools for evaluating information handling system deployment issues of customers. Based on information derived from the deployment and evaluation tool, it is possible to determine a customer's current cost to deploy information handling systems as well as a future cost if various recommendations are adopted.