The Disadvantages And Disadvantages Of Data Warehousing

804 Words 4 Pages
As with many things, the data mart’s biggest asset is also its biggest flaw. And the biggest problem with data marts is that they are compartmentalized. Only one group of people can access that information. If that group wants additional data, it must be gathered from a different data mart or data warehouse and brought to their data mart (Westerman 13). When this happens there can be numerous warehouses to maintain, which is not desired. Wal-Mart advises to wait until the data warehouse is established to build the data marts. By doing so the data flow is less complex. The data flows from the functional systems into the warehouse and then on to the data marts. This flow strategy can make it easy and relatively quick to build data marts …show more content…
One of the advantages of warehousing is the ability of have clean data. The processes that occur in warehouse capture the incoming data and clean, purge, and merge the information in preparation to enter into storage. The fact that indexes are created in the warehouse is another advantage. A major advantage is the ability to run queries to obtain the desired information. Each query can be individualized to the task at hand. Data warehousing offers security for a business, housing all vital information in one protected area. This type of storage is more secure than paper records stored in files with the possibility of theft, misplacement or lost in a disaster. Paper records are all but impossible to recreate. This would be no problem if the information is stored electronically with backups …show more content…
It is imperative that a business continually evaluate their practices to make sure that they are serving their customer to the best of their ability. It is advantageous to a business to have information at their fingertips and have the ability to access it immediately. A lengthy time delay to search for requested information for a customer could cost them a sale. Data warehousing and mining are a valuable portion of the operation and supply chain management of a company. The data retrieved from warehousing and mining can be used to support inventory, production and sales. Inventory and sales can be can tracked, so that raw supplies can be brought in based on the need. Production schedules can be composed based on the raw materials arriving and the need of products that are in high demand. It appears that mining and warehousing are a large component of the supply chain management.
The most important aspect of data mining and data warehousing is the ability to communicate, directly and indirectly with the customer. A company can directly solicit the customer feedback on a product that they have already delivered. The customer feedback can be retained and reviewed for product change or product research. Indirectly, the business can make purchasing suggestions to a customer via email, advertising, or direct mailing based on information previously retained in the system. Following this

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