Six Sigma: Deliverables at the end of the Define Phase
Well Defined Scope of the Project: A well-defined scope of the project is perhaps the most important deliverable of the Define phase. Scope document goes a long way in finding the solution. A lot of organizations resources have been wasted and no substantial results have been obtained because of the failure to correctly scope a […]
Case Study of the Indian Aviation Sector: Soaring High or Turbulence Ahead
Takeoff from Modest Beginnings: The Evolution of the Indian Aviation Sector The Indian Aviation sector is poised to take off and soar high in an unprecedented manner. Indeed, the Aviation sector in India has come a long way from the humble beginnings in the pre-independence era where the legendary JRD Tata, pioneered the industry and […]
BPI Project Tools – Different Types of Flow Charts
Business Process Improvement programs are an effective way of overhauling the business operations, of improving the efficiency, of bringing in change in the operations and lastly in enhancing the benchmark of the Business offering of the product or service to the Customer. In the fast changing business environment marked by technological advances, shortening lifecycle of […]
The Effect of Rising Oil Prices on the Indian Economy
The prices of oil have once again started going through the roof. In the past few years, the prices of oil have seen a steady downturn. This can be largely attributed to the supply gut that was created as a result of a new technology called “fracking.” The world has changed immensely since then. Geopolitical […]
Information System for Decision Support
Introduction In the current globalized business environment, decision making is becoming more and more difficult. Some of the problems faced by business are as follows: There is large volume of internal organizational data on hand thanks to the modern data-storage system. However, not all data available would be useful for decision. The flow of information […]
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
