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The Best Design for Moonlight Distributers
Introduction
Organizations are seeking models that simplify the procedures and processes involved in collecting, analyzing and managing data. They require a model that provides consistent and high quality data with fast returns. Over the years, there has been controversial discussions on which is the best data model to use when managing data in an organization (Inmon, Strauss & Neushloss, 2008). This topic compares Inmon’s Corporate Information Model and Kimbell Dimension models of managing data. It defines the circumstances at which either of the models is good for Moonlight Distributers in managing their organizational data.
Inmon’s Corporate Information Factory Model (CIF).
Inmon (2005) had a different philosophy with his fellow pioneer Mr.RalphKimball in regard to Enterprise-Wide information gathering, analysis and management. Inmon believes in the creation of a single wide-data warehouse rather than building several data marts for managing information. He further believes that, after creating a single wide-warehouse it should be accompanied by creation of satellite data bases to take care of analytical problems. Additionally Inmon differed with Kimball on the structure and on the content of the data and recommended that a relational model should be created rather than multi-relation model.
Advantages and disadvantages of Inmon’s Corporate Information Factory Model
This model would be convenient for Moonlight Distributors because all the data would be centralized. Adding more information would be fast and convenient. However joining this data to form meaningful information would be a challenge. It restricts the number of people who feed and retrieve data from the system. This restriction may lead to in adequate information because it does not involve all the members of the organization (Inmon, Strauss, & Neushloss, 2008).
Kimball’s Dimensional Modeling (DM).
Kimball was another pioneer of Data gathering and management who had a different approach on information gathering, management and analysis, according to Mr. Kimball, he believed on building several data marts for gathering, analysis and management of information unlike his fellow pioneer Mr. Inmon who believes on creation of single wide-data warehouse (Koutsoukis & Mitra, 2002). Kimball further believed in creation of multi-relation model rather than a relation model.
Advantages and disadvantages of Kimball’s Dimensional Model
Moonlight distributors require a system that will help them flow their customers’ orders from the time they are captured up to delivery smoothly. This requires that all the people involved have the ability to initiate this process to deliver fast and efficient service. Kimball’s dimensional model would be convenient for this purpose because the data warehouse is easy to understand and use. Additionally, the data retrieved from the warehouse tend to operate at a very high speed as compared to the data obtained from other models. It would be easy to access information from different points and this would simply the processes involved. However, despite the benefits, this model can be complicated when loading data from different operating systems. Modifying this data warehouse is also a challenge due to the many sources that are involved (Koutsoukis & Mitra, 2002).
Conclusion
Gathering, analyzing and management of data involves all of the departments in the organization. The research above has brought forth the advantages and disadvantages of using Inmon and Kimball’s dimensional model. From this analysis Kimball’s Dimension Model is the most convenient for Moonlight distributors. This is because the benefits of using this model outweigh the shortcomings. In the modern business, organizations are seeking processes that help them meet the needs of their clients fast and effectively. This model simplifies procedures hence serves best for Moonlight distributors.

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