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Data Management: Data Warehousing and Data Mining - Research Paper Example

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Information Systems have hitherto relied upon data quality and integrity for its management. Countless companies faced numerous problems in accomplishing this task but thankfully SAP has emerged as effective, efficient and user friendly tool that customizes software to meet the particular needs of the company…
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Data Management: Data Warehousing and Data Mining
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Data Management: Data Warehousing and Data Mining

Download file to see previous pages... Users can explore and compare relevant information through SAP BusinessObjects Explorer even if they lack in IT training as it provides a user-friendly web-based environment. Decision making becomes faster and more accurate, and IT is freed up for projects that add greater value to the company. It gives the freedom to access the large amount data of various integrated Databases. It's more efficient, fast and saves queries over various SAP or non SAP databases. The implementation of SAP businessObjects is easy as it is web based. The main purpose of BusinessObects is the use of business intelligence products. Its tools provide performance management and query and analysis of the provided information. This addresses various business issues some of them are: Speedy generation of reports Data Duplication Self-service reporting and analysis ability examine progress on strategic plans through a uniform process empowering of employees to take spur of the moment decisions Integration of various data sets into one SAP Business Objects provide solutions for all such issues. It reduces the data duplication1 through its information management tool which takes two-fold approach (Mike Pratt, 2008) to reduce duplication. It verifies every new data against existing records and verifies address against post code and that against post office address. ...Download file to see next pagesRead More
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Data Warehousing and data mining
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