MSG Team's other articles

12131 Inventory Management Systems

Modern day inventory is managed by sophisticated system applications that are designed to manage complex inventory plans and to a large extent contain processes that initiate and streamline the operations and inventory management. In the wake of improvements in the communication technology, companies are deploying one single ERP system across all factories, offices, departments and […]

12839 Complexity Created by Technology Needs to be Managed

Incompatibility Creates Problems Developments in IT have created more problems than solutions because of the “incompatibility” among the various parts of the supply chain. Information becomes knowledge only when the means to process it is in place and the process does not “distort” the message. Like garbled voices coming over crackling phones in yesteryears, unless […]

12343 The Apple “Credit Card”

Apple Inc. which is the most valuable company in the world is known for selling high tech products. Over the years, Apple products have become a cult following, and many consumers blindly purchase whatever new products the company introduces. This time Apple has surprised its investors and customers. All analysts were expecting the company to […]

10734 The Problem with Modicare

The Union Budget is a big financial event in India. Each year, the finance minister of the nation sets the national priorities and also the plan to fund them. The 2018 budget came in as a shocker for most people in India. The middle class was hoping for a significant tax reduction. However, there was […]

11697 Types of Relationships between the Input and Output

The scatter plot can be a useful tool in understanding the type of relationship that exist between the inputs (X’s) and the outputs (Y’s) No Relationship: The scatter plot can give an obvious suggestion if the inputs and outputs on the graph are not related. The points will be scattered throughout the graph with no […]

Search with tags

  • No tags available.

Introduction

One of the critical components in the information technology age is the data. Data is the source of all the information and information is valuable for decision making process.

Decision support systems are developed to support executive management and relevant decision makers. In the modern era, there is large volume of information is available. Data warehouse is required to store huge volume of data.

Since the data warehouse is supporting decision support system, therefore, it should be subject oriented, integrated, collected over a period of time and static.

Data Warehouse

Data warehouse has subject oriented data. This subject oriented data could be information such as sales, customer name, etc. Data warehouse excludes information, which is not useful for decision-making process.

Data warehouse is developed as an integration of multiple heterogeneous data sources. As the data source have their own data protocol, data processing is required while data warehousing.

Data warehouse provides information with time as function. This gives historical perspective to the information.

Once data is captured into the data warehouse, it cannot be changed.

Data within the data warehouse is maintained in form of star schema, snowflake schema and galaxy schema.

Data Mart

The data mart is that portion of the access layer of the data warehouse which is utilized by the end user. Therefore, data mart is a subset of the data warehouse. Data mart is usually assigned to a specific business unit within the enterprise. Data mart is used to slice data warehouse into a different business unit. Typically, ownership of the data mart is given to that particular business unit or department.

The primary utility of data mart is business intelligence. A data mart requires very less investment compared to data warehouse and therefore it is apt for smaller business. Set up time for data mart is very less again making it practical for smaller business.

The main advantages of data mart are as follows:

  • It provides easy access to daily used data.
  • It improves decision making process for end user.
  • It is easy to create and maintain.

Online Analytical Processing (OLAP)

OLAP or Online Analytical Processing is a concept in which data is analyzed through multiple dimensions with help of structure called cube. OLAP helps in converting data into information.

The main objective of OLAP is to summarize information for decision making process from large data base. The report generated through OLAP can be presented in a format as per the requirement of end user.

The advantages of OLAP are as follows:

  • It ensures that response to query is quicker consistently.
  • It provides facility to work with data which are difficult to query through SQL.
  • It lets user create view with the help of spreadsheet.

There are three types of OLAP multi-dimensional OLAP, relational OLAP and Hybrid OLAP. In multi-dimensional OLAP data is usually stored in proprietary structure suitable for multi-dimensional analysis. In relational OLAP data base is structure through standard database in star or snowflake schema. A combination of multi-dimensional OLAP and relational OLAP is the hybrid OLAP.

Article Written by

MSG Team

An insightful writer passionate about sharing expertise, trends, and tips, dedicated to inspiring and informing readers through engaging and thoughtful content.

Leave a reply

Your email address will not be published. Required fields are marked *

Related Articles

Components of Commercial Value Chain

MSG Team

The Changing Face of Business Environment

MSG Team