Abstract: Disclosed herein is a data structure that reduces computational load on a database in querying and visualizing historical values of slowly changing dimensions. The slowly changing dimensions have one or more values associated with them (e.g., a monthly average accounts receivable is a single value, and a set of contact information for an individual may have multiple values). On a periodic basis, database images, also known as “snapshots” are generated of a current status of a given database. The snapshots are used to build a historical data table that is computationally efficient to reference.

Abstract: Disclosed herein is a data structure that reduces computational load on a database in querying and visualizing historical values of slowly changing dimensions. The slowly changing dimensions have one or more values associated with them (e.g., a monthly average accounts receivable is a single value, and a set of contact information for an individual may have multiple values). On a periodic basis, database images, also known as “snapshots” are generated of a current status of a given database. The snapshots are used to build a historical data table that is computationally efficient to reference.

Abstract: Disclosed herein is a data structure that reduces computational load on a database in querying and visualizing historical values of slowly changing dimensions. The slowly changing dimensions have one or more values associated with them (e.g., a monthly average accounts receivable is a single value, and a set of contact information for an individual may have multiple values). On a periodic basis, database images, also known as “snapshots” are generated of a current status of a given database. The snapshots are used to build a historical data table that is computationally efficient to reference.