Business Intelligence is used to help your business acquire a better understanding of its commercial context by referring to skills, technologies, applications and practices. It turns a simple data into a meaningful knowledge, which turns into profits. It answers some of your questions like which products cost the most to maintain, where can you cut the cost, which of your customers are more profitable etc. BI applications include the activities of decision support systems, query and reporting, online analytical processing (OLAP), statistical analysis, forecasting, and data mining.
There are very orderly and sound rules to follow and developed these rules into what is called the Normalization Process. Using this process, we can create brand new, fully functional, finely tuned databases or take current database tables, run them through these steps, and come out with well-oiled tables ready to fly. However we use these steps, they are the fundamentals of quality database design.
A number of techniques have developed that allow a database design to evolve as an application develops. This is a very important capability for agile methodologies. The techniques rely on applying continuous integration and automated refactoring to database development, together with a close collaboration between DBAs and application developers.
A good database design is, therefore, one that divides your information into subject-based tables to reduce redundant data, provides access with the information it requires to join the information in the tables together as needed, helps support and ensures the accuracy and integrity of your information and accommodates your data processing and reporting needs.
The database development process comprises a series of phases. The major phases in information engineering are:
A well designed report can provide powerful benefits to your business by making sense of your valuable customer data. It shows you data in a filtered and organized manner.
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