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Data warehousing systems have become an integral part of IT systems for large and small organizations from across the world. A powerful, efficient and reliable system helps organizations to systematically store large volumes of data and provide relevant and timely access. Moreover, the organizations are dependent on their data warehousing solutions to convert tones of raw data into usable and smart business intelligence through which the business owners and decision makers take vital business decisions. The process of analysis includes thorough study of past data and predicting future business trends in the industry. It is but obvious that the business intelligence generated through the data warehousing system is only as good as the system itself. To maintain the basic requirements of integrity and quality of data, it is of vital importance that the correct warehousing solutions are used and the implementation process is carefully monitored. Another important factor to note while selecting a proposed solution is that it should be cost effective and be flexible enough to be integrated with the exiting operating systems within an organization. The integration capabilities should ensure that all data from the operating systems should smoothly flow into the newly deployed data warehouse system both during the implementation stage as well as post implementation. Another key consideration to be taken care of is the education and skill enhancement of all users who would be associated with the new system.
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