Information Technology (IT) has revolutionized the past working of the Indian Postal Services to
do more business and profits. By the use of IT infrastructure, Indian Postal Offices have started
various kinds of services like Electronic Money Transfer, On-line payment of premium for
various schemes, etc. In India, more than ten thousand post offices are functioning, and currently
8263 post offices have already been computerized but still lots of computerization work is needed
in the remaining Indian Post Offices. The post office savings bank scheme is the largest savings
bank in the country in terms of network, and havingmore than 164.3 million accounts. In this
research paper, a technique is proposed to store the non-postal data in the form of OLAP cubes.
An OLAP solution allows the users to have quick access to summarized data, which is generated
from a large amount of detailed information.
OLAP cube performs a multi-dimensional analysis of business data. These data cubes also
provide the capability of complex calculations, patterns and trends also. It provides intelligent
solution that may be related to forecasting, financial reporting, budgeting, and knowledge
discovery. OLAP databases are also known as multi-dimensional database (MDDB). OLAP