Data Warehouse Business Intelligence
Business intelligence is an umbrella term that encompasses a wide range of tools and methods for better decision making or decision support. Data warehouse business intelligence is one of the tools and methods many businesses use and take full advantage of in order to gain a better understanding of their overall operation and use the system as support for their tactical and strategic decision making. It is not uncommon at all to discover multimillion dollar businesses investing resources into a data warehouse business intelligence project.
Defining data warehouse business intelligence
Data warehouse business intelligence is an umbrella term for all the technology, practices, and skills, which are all among the many uses for decision support. Data warehouse business intelligence is used to define a number of methodologies, like data mining, online analytical process, predictive analytics, and data warehousing just to name a few. Data warehousing business intelligence is a technique that allows for a company to gather all desired data from various sources and collect them into a central repository. The purpose for Data warehouse business intelligence is as a decision support system.
The importance of data warehouse business intelligence
Data warehouse business intelligence is an important tool being used more and more by companies and government entities as the true value of the system continues to reach new users. One of the main functions of Data warehouse business intelligence is to offer users a snap-shot of their business at any given moment. This can be used for a variety of reasons all of which depend on the users’ main objective determined before the project began. Businesses need Data warehouse business intelligence to gain better insight into their business or market so that they may make decisions with better and clearer information.
Advantages of data warehouse business intelligence
There are several advantages associated with a data warehouse business intelligence. One of the key advantages of using a Data warehouse business intelligence system is that it makes it much simpler to analyze and report on the information extracted from the data entered into the system. In the cleansing stage of the data warehousing process, all inconstancies in the data are determined and taken care of before the data enters the ETL stage. These are some of the many examples of advantages data warehouse business intelligence may offer users.
Disadvantages of data warehouse business intelligence
Despite the many benefits of data warehousing business intelligence it also comes with drawbacks. Chief among them is the time required to move data to a data warehouse business intelligence. Because the ETL process takes some time users often times finding themselves dealing with data that is out of date. Other issues with a data warehouse business intelligence is the cost of implementing the system over time and the system having to be updated as newer version become available.
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