Providing feedback in an operating plan data aggregation system

A system, comprising:

• one or more processors;
• and
• a memory, coupled to the one or more processors, storing code that when executed causes the one or more processors to perform operations comprising:
• receive forecast information including forecast numerical values for at least one time period from one or more first entities, wherein:
• the forecast information received forms a baseline forecast;
• and
• for each of multiple organizations, an instance of one of the OLAP cube database structures and a data repository is dedicated to each of the organizations and each of the OLAP cube database structures of a computer database is partitioned into at least a first partition and a second partition
• for each organization, store the forecast information in the first partition of the OLAP cube database structure of the computer database dedicated to the organization, wherein an instance of one of the OLAP cube database structures and a data repository is dedicated to each of the organizations and each of the OLAP cube database structures of a computer database is partitioned into at least a first partition and a second partition;
• for each organization, update the first partition of the OLAP cube database structure of the computer database, wherein updating includes at least data from the second partition;
• receive comments on specific entries of the forecast information in the computer;
• receive changes of the forecast information from one or more second entities in the computer after receipt of the forecast information from the one or more first entities;
• receive changes of the forecast information from the one or more second entities in the computer after receiving the forecast information from the one or more first entities, the changes including time based adjustments to the forecast numerical values;
• for each organization, store the changes in the second partition of the OLAP cube database structure of the computer database dedicated to the organization;
• for each organization, update the second partitions of the OLAP cube database structure of the computer database;
• integrate the associated forecast information from the first partition, comments, and changes from the second partition into the OLAP cube database structure within the data repository defined in the computer and dedicated to the organization;
• propagate the received forecast information from the first partition, the received comments, and the received changes of the forecast information from the second partition in essentially real-time through the OLAP cube database structure dedicated to the organization by the computer to (i) associate the received comments and changes with the received forecast information and (ii) asynchronously update the baseline forecast with the received changes of the forecast information in essentially real-time;
• generate a dataset and organization of the dataset from the OLAP cube database structure within the data repository including from the first partition and the second partition, which are dedicated to the organization, in response to a graphical interface based query from an external requestor wherein generating the particular selected dataset includes:
• combine data related to the changes from the first partition and the second partition to appear as a single response;
• analyze the changes to determine the magnitude of each change;
• and
• provide a set of impacts to the one or more first entities, the impacts showing the changes based on the magnitude of the changes;
• and
• transmit data to display the generated particular dataset on a graphical interface device that incorporates the integrated comments and the integrated changes to the forecast information so that the comments and changes are shown and available for review in association with the forecast information including the essentially real-time, asynchronously updated baseline forecast.