Abstract: A system and method for reading and writing of data values between multidimensional structures that reside in Online Analytical Processing (OLAP) databases are disclosed. Data queries may be performed and updates executed between multidimensional data structures, whether existing on the same server or separate servers. Bulk (being two or more intersections) transfers are allowed between multidimensional structures (or cubes), providing a performance gain that cannot be matched using a standard point-by-point implementation. An intersection only contains a numerical or data value if there is a value for each dimension at that intersection within the database. Multidimensional data structures naturally generate sparse intersections where no data values are found, which can greatly impact performance. Within each cube, only a small intersection of members actually contains values. The system may very quickly calculate reports which include any intersection in any very large cube.