Online analytical systems refer to the systems that are designed to manage the queries which are required to discover critical factors and trends. These systems require large amount of data. Let us try to understand with the help of an example; Head of an automobile company make ask for the repost showing the number of model and make of vehicle sold each year for the past 10 years.  Data warehouse plays an important role in large organization in recent years.

It has been observed that online analytical processing systems help people manage the data in warehouse more effectively. The data is managed in different manner than in traditional processing database.  OLAP performs multidimensional analysis of data and is capable of providing complex calculations, trend analysis and data modeling. This has been becoming the base for various organizations for Planning, Business performance, Forecasting, Analysis, Knowledge Discovery, Budgeting and Forecasting. This has become possible because of the features and capabilities. This is one of the unique and flexible for managing data.

For any organization, data is the most important element. This is the reason why they try to organize in the manner that it is easy to store, manage, maintain and retrieve whenever required. They spend huge amount of money so that they can use the data in best possible way. These systems help in analysis and decision-making of the organization. It has been observed that sometimes, IT organizations fact challenges of delivering the system allowing workers to create strategic and more meaningful decision based on the factual information of the organization. The support systems are OLAP systems allowing workers to manipulate issues to provide analysis quickly and flexibly.

Some of the purposes of designing these systems are as follows:

• They are helpful in supporting the complex data analysis requirements of the people involved in decision-making.
• Online analytical processing can support the analysis of data from various business dimensions.
• It supports analysis against data sets of large and complex input.

There are mainly two types of architecture used for designing online analytical processing systems as mentioned below:

• Multidimensional OLAP (MOLAP) – This utilizes multidimensional database to give out analysis and is best suited for storing data multi-dimensionally.

• Relational OLAP (ROLAP)-In this architecture, the data is retrieved directly from the data warehouse.  This architecture can be used in various medium and large organizations.

We have observed that depending upon the requirements of an organization; the designers can propose the best architecture to enhance the performance and integrity of the various departments within organization. This helps the people by accessing the data rapidly and provides desired output.

The developing organizations that are looking for a best solution to increase the performance and capabilities of the systems, can count on online analytical processing. This is because of the reason that it is an interactive platform which makes analytic processing and data-recall facility easier and quicker than ever before. It assists the people in an enterprise by providing easy and quick access to the databases.

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