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Why India is in The Eye of Perfect Storm With Regards to the Jobs Crises By now, there is a consensus among all experts and other stakeholders that India is in the midst of a severe Jobs Crisis brought about due to several converging and intersecting trends. With Unemployment at a 45 Year High and […]
Effect of Domestic Politics on Business Process Outsourcing (BPO)
In previous articles, we talked about how the ongoing global economic crisis coupled with domestic pressures affect the outsourcing of back office operations. In this article, we look at a hot topic and a burning issue in the West i.e. the hue and cry over outsourcing and shipping jobs overseas especially at a time when […]
The Two Conflicting Theories of Recession
The “R” word is back in town. Economists and analysts all over the world are now wary about the fact that a major recession may be just around the corner. They have different facts that make them believe that a recession may be about to happen. However, their conclusions are pretty much the same. For […]
Inventory Planning – Basic Concepts
Every organization that is engaged in production, sale or trading of Products holds inventory in one or the other form. While production and manufacturing organizations hold raw material inventories, finished goods and spare parts inventories, trading companies might hold only finished goods inventories depending upon the business model. When in case of raw material inventory […]
Step 3A: Choosing the Correct Control Chart (Discrete Data)
If the data type that needs to be charted is discrete, then it must fall between one of binary or count types. As the name suggests in case of binary distribution, there are only two possibilities, success and failure, defective and not defective, whereas in the case of count type distribution there may be more […]
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 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.
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:
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:
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.
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Communication Systems and Groupware – Information System Concepts that Apply in All Functional Areas of Business
February 12, 2025
