Term Paper: Growth Aided by Data Warehousing

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[. . .] This is intended to form one rational conclusion and to also gain benefits from important information regarding the current operation of the organization. (Hackathorn,1995;Wallace,1994a). These current operations can also be contrasted and evaluated in terms of the old existing data, and alongside, predictions as to future operations and about new business procedures can be developed and also new systems can be planned out to sustain these processes. (FairHead, 1995; Hackathorn, 1995; Ricciuti, 1994a; Smith, 1995d; Wallace, 1994a; Weinberg, 1995a).

These date warehouses can also store huge amounts of past data and corporate data that most companies use as potential data for important businesses. (Bull, 1995b; Brown, 1995; Cafasso, 1994d; Eckerson, 1993b; Hackathorn, 1995; Lisker, 1994; Nash, 1995c; Smith, 1995f; Wallace, 1994a). Another advantage of these date warehouses is that they are single and centralized but can be used for local or server distribution client systems. [Ricciuti, 1994a). Also these warehouses are also company wide systems (Hoffman and Nash, 1995); and hence can be used for corporate wide communication. [Seybold, 1995].

There is also mention of other data like consistency, accuracy and documentation (Ladaga, 1995;Ricciuti, 1994a;Wallace, 1994b). An improvement was found in the decision making by making use of OLAP and a big improvement was seen in the data mining analysis. (Barry, 1995;Barquin, 1995,Broda, 1995). Another commonly mentioned advantage, is the fact that it allows speedy access. By making it possible for users to access their data on their own, the work of IS suspended. As the information that is needed is available in one place the response from the system is reduced. (Bull, 1995b; Fairhead, 1995; Lisker, 1994; Parsons, 1995; Reardon, 1995). Especially the articles that are mentioned to be 'easy to use' (Barquin, 1995,Broda, 1995.) The best part about this data warehousing is that even when other individuals are accessing the data present for their business purposes even then the operational database is not slowed down, as most of the operational data is placed in another database which is specially designed for the purpose. (Bull, 1995b Burleson, 1995; Fairhead, 1995; Lisker, 1994; Ricciuti, 1994a; Smith, 1995d; Smith, 1995f; Wallace, 1994a; Wallace, 1994b)

Most data warehouses try to concentrate on their subjects (Barquin, 1995; Broda, 1995), are on time, they also provide ad-hoc inquiries in which way it encourages immediate decision-making and also regular reporting and all these are basically made to make it more convenient for the end users.(Adhikari, 1996; Burleson, 1995; Smith, 1995d; Wallace, 1994a; Wallace, 1994b). Another need for data warehouses is that they are constructed to separate the data, which are used for purposes of operation, or the data that is being constantly upgraded in terms of the already existing past data, because of which most managers and analysts can use their past data to help them in decision making without having to affect the production operation. (Francett, 1995b; Taft, 1995; Wallace, 1994a).

A few articles have also mentioned that data warehousing makes the business so much easier and convenient to use that the businesses benefit from it and are able to become more cutthroat and it also enables them to understand their consumer needs better and meet the market requirements adequately. (Wallace, 1994a; Wallace, 1994b). Though it is expensive all these benefits to the organization can actually validate the expense. (Barquin, 1995) There are some articles that discuss that data warehouses that data warehouses help in gathering information from prospective organization who are not easily accessible and help them to be put in good use. For these functions software's like, Middle ware, data transfer software and client server tools are used. Therefore, it can be justifiably said that a data warehouse is an ultimate distributed database. (Burleson, 1995; Reardon, 1995; Wallace, 1994a).

There are also those other articles that state that data warehousing is the experiment field for new architect operational systems. (Hackathorn, 1995). With the help of these we have a great reduction in paper files (Cafasso, 1994d; Hackathorn, 1995; Ladaga, 1995; Parsons, 1995; Santosus, 1995; Wallace, 1994b) and though the initial investment is high once it is covered the information technology individuals do not need much more resources. (Barquin, 1995). Another important discussion is about the fact that data warehouses handle large amounts of data from operational sources and along with collecting they also manage the transfer of this data. In order to meet the changing business needs these production systems also keep changing and keep updating their data encoding and structures. These data warehouses, the meta data, assist in incessant incremental refinement that keeps track of the production and changing business environment. (Barquin, 1995; Hackathorn, 1995). There are still those articles that suggest that when data is processed paralleling it helps the users to perform their operations more quickly. (Brown, 1995; Bull, 1995b; Stedman, 1995a).

Now the users can also question regarding details that were probably too technical to be answered, and ultimately these data warehousing helps in managing more customers, users, more transactions, and messages. It supports higher performance that is most needed in client-server transactions and also provides unlimited scale ability and also ultimately gives a better performance which leads to better price.(Capacity Management Review,1995) Another article in connection to data warehouses states that these data warehouses enable the users to obtain their data directly and to also improve the data that is availed from the different software applications without having to affect the operational database and also to incorporate the various business tasks into one single efficient process that is in turn supported by real time information. This makes available to the users robust processing engines (Goldberg, 1995b; Seybold, 1995). There are some other articles that state that data warehousing can be constructed on a high end PC and even a mainframe, though most individuals make use of UNIX servers and run it in a client server environment. Certain software vendors like IBM and five others joined together to form a partnership in order to enable to clear the cross platform on which data warehousing is implemented. Some other software vendors have also formed such joint ventures. The independence that was not available in the legacy system is now available in these data warehouses and has proved to be very vital. (Wallace, 1994a).

Another few articles in relation to data warehousing also mention that these help the organization to build a computing structure so that any changes made in the computer systems and business structures can be supported. There are those articles that also state that these data warehouses make it easier for the employees of any organization to make decentralized decisions, as the data is easily accessible to the users too. They give the end users faster access to the information without having to use any of the systems or other resources. This also is beneficial as the users do not have to ask the IS managers about the needed information that allowing them to perform other tasks. This also removes the use of the middlemen who are used to transfer information to other places. (Bull, 1995b; Seybold, 1995a).

One more very good deal with this data warehousing is the pragmatic benchmarking. These data warehouses by providing the quantitative metrics that are necessary to base most business process on and which are accessed from past data and in turn allow the business managers to evaluate progress. There are few other articles that discuss about clients of data warehousing who cannot directly question the production database, therefore helping in protecting their privacy and their level of production. (Ricciuti, 1994a). Few warehouses specially designed for the purpose also provide security for various management services. (Smith, 1996)

Data warehousing has its disadvantages too. The most recurrently mentioned disadvantage is that it is complex in development. IS need to develop a warehouse whenever it requires one as each warehouse is built for a specific purpose and cannot be bought from anywhere. (Ladaga, 1995; Myers, 1995b). It is also necessary that IS asks a huge set of questions while building it.. (Redding, 1995; Goldberg, 1995b)While building the database the builders need to pay enough attention to the structure, the definition and the flow of data along with the hardware and the software bit. (Hildebrand, 1995; Adhikari, 1996; Edwards, 1995; Wallace, 1994a). For Data warehouse construction it is also essential that an analysis be done as to how the collected data will be accessed in the future. (Goldberg, 1995b). The individuals who are developing the database need to keep in mind the changing aspects of their business and the changing hardware and software available. (Lardear, 1995a). They need to be able to measure the warehouse requirements and meet the user demand for quantity and intricacy (Lardear, 1995a) in order to make their development more multifaceted. Alongside, they may also be faced with the difficulty of having to choose the correct product. (Harding, 1994). Precisely in order to develop such a huge and complex database we need individuals who are specialists. (Harding, 1994)

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Growth Aided by Data Warehousing.  (2003, July 31).  Retrieved April 18, 2019, from https://www.essaytown.com/subjects/paper/growth-aided-data-warehousing/2113497

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"Growth Aided by Data Warehousing."  Essaytown.com.  July 31, 2003.  Accessed April 18, 2019.
https://www.essaytown.com/subjects/paper/growth-aided-data-warehousing/2113497.