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How Can You Benefit From Dimensional Modeling In A Business Intelligent Environment?
Total Articles: 6
The break-neck speed of modern businesses makes it necessary for business operators and executives to find quick solutions to their daily problems. As most business solutions are delivered through business intelligence tools, ‘real-time’ business data is becoming more important than ever in finding the right solutions in day-to-day business operations. Thus, when today’s business leaders or managers rely on business intelligence for finding ready solutions, it becomes almost mandatory to make data storehouses like data marts or data warehouses highly efficient machines for data access and retrieval. In this scenario, data management takes an altogether new role in transforming information into actionable intelligence or ready solutions within the shortest possible timeframe.
Quick data access and retrieval is the key to successful BI
In today’s data warehousing for BI environment, the data or more specifically, the data model has assumed cardinal importance in enabling quick data access and retrieval for decision making. Dimensional data modeling is one kind of data modeling that makes it possible to access or retrieve the data from a huge database quickly and easily. This kind of modeling is especially important while accessing data in or retrieving data from a data mart or data warehouse populating millions of data records.
In dimensional modeling, data is stored in such a manner that retrieving information from the database becomes quick and painless. On the other hand, dimensional model is not a solution for reducing data storage space or reducing data load time! The Dimensional Modeling Guide discusses some real-world examples of dimensional data modeling in business situations, where this type of data modeling has achieved reduced costs , optimized performance, , and better system maintenance.
Dimensional modeling in a BI environment
When a data warehouse is designed with BI in mind, the data warehouse experts acknowledge the vast advantages of dimensional modeling in such an environment. In Dimensional Modeling in a Business Intelligence Environment, an expert data-warehousing team from IBM helps the reader understand the significant benefits of a dimensional model in designing and maintaining the data warehouse for better data access and performance gains. This guide provides very definitive approaches to using data modeling as the building block of data warehousing for BI.
The benefits of dimensional modeling in BI
When advanced business intelligence is the goal of a data mart or data-warehouse architecture, then dimensional modeling can help achieve the following benefits for the end users:
Quick data access and retrieval
The Systems Seminar Consultants Inc has presented a highly convincing argument in favor of the advantages of dimensional data modeling in data warehousing for BI architecture.
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