Abstract: Systems, methods, and graphical user interfaces (GUIs) for ingesting and enriching data regarding a plurality of entities are provided. A first data set comprising company data and a second data set comprising customer data are ingested. The first data set is processed to generate a processed data set. The first data set may be processed by applying an entity matching technique, wherein one or more data elements are generated based on whether an entity of the first data set and an entity of the second data set are commonly associated. The first data set may additionally or alternatively be processed by applying a statistical matching technique, wherein one or more predicted data elements are generated based on similarity between an entity of the first data set and one or more entities of the second data set.

Abstract: Embodiments of the invention relate to systems, methods, and computer program products for identifying probable impacted business parameters, such as business applications, business teams/organizations at the onset of a business change-event, such as a business project, initiation of product/service offering or the like. Embodiments rely on analysis of historical data and architecture blueprints, driven by a predefined statistical model to determine probable impacted business parameters. Additionally, embodiments provide for determining the level-of-impact, in terms of hours and financials and/or the priority of the probable impacted business parameters. In addition, embodiments provide for automated notification of individuals and/or entities associated with the probable impacted business parameters.

Abstract: Embodiments of the invention relate to systems, methods, and computer program products for identifying probable impacted business parameters, such as business applications, business teams/organizations at the onset of a business change-event, such as a business project, initiation of product/service offering or the like. Embodiments rely on analysis of historical data and architecture blueprints, driven by a predefined statistical model to determine probable impacted business parameters. Additionally, embodiments provide for determining the level of impact, in terms of hours and financials and/or the priority of the probable impacted business parameters. In addition, embodiments provide for automated notification of individuals and/or entities associated with the probable impacted business parameters.