¶ … Management
Information management is essential for FedEx. The company uses information in a number of ways. On the operations side, data drives decisions regarding the scheduling of assets. Every piece has its own delivery time guarantee, for example, and it is necessary to use information to ensure that the right piece gets on the right plane and right truck to reach its destination. How this works is as follows.
The customer goes online and schedules a pickup, and the automated system plugs that information directly to the courier who works that route. The package is scanned at pickup. The tracking number of the basis for information on that package -- the person at the destination can see within minutes that the package has been picked up. From there, the package is scanned at the local depot, when it goes on the plane, when it lands at the hub, when it is sorted for the next plane, then when it lands at its destination airport. It is scanned when it goes onto the truck for delivery, and then again when it is delivered. With the tracking number is a lot of information, such as the weight of the package, the package type and other data that is used in scheduling resources.
FedEx knows the mean volume for each of its scheduled flights, and the routes are designed around a particular mean volume as well, that an individual courier can handle. So each decision regarding capacity is made on the basis of the information that is gathered by the company. Routes are designed on the basis of the load that they carry.
Furthermore, performance reviews are done on the basis of this data as well. Each station, and each route, has a set of specs that are based on historical data. The data is collected regarding how many stops can be done within a given time frame on average....
Data Mining in Health Care Data mining has been used both intensively and extensively in many organizations.in the healthcare industry data mining is increasingly becoming popular if not essential. Data mining applications are beneficial to all parties that are involved in the healthcare industry including care providers, HealthCare organizations, patients, insurers and researchers (Kirby, Flick,.&Kerstingt, 2010). Benefits of using data mining in health care Care providers can make use of data analysis in
Data Warehousing Data Warehouse technology has changed the way that global organizations conduct business. Many have found it impossible to create a business strategy without a data warehouse. The purpose of this discussion is to research and explain the importance of data warehouse management. We will begin by defining data warehouse and describing the business uses for the technology. Our discussion will then focus of data warehouse management. We will examine the
Data Warehousing: A Strategic Weapon of an Organization. Within Chapter One, an introduction to the study will be provided. Initially, the overall aims of the research proposal will be discussed. This will be followed by a presentation of the overall objectives of the study will be delineated. After this, the significance of the research will be discussed, including a justification and rationale for the investigation. The aims of the study are to
All of these factors combined to form the catalyst of the data warehouse project being made a higher priority than the many other competing projects within Wal-mart at the time. At a cost of approximately $3M in software and $9M in services and training, Wal-Mart partnered with Hewlett-Packard and became one of the first companies to adopt the HP Neoview data warehousing system. One of the key reasons for Wal-Mart
Since poor data quality within a system often results in poor business decisions being made from this data, it is very important that each administrator or system architect look at each customer or end-user differently, in their own unique light. Since each end-user is different, and the needs of the customer often stem from the warehouse's ability to accurately store quality information, a system that dates back to the 1970's
Indeed, with 5000 customers, the company is now on the cusp of taking on larger market proportions and should seize the opportunity accordingly. The sensible approach to this would be the adoption of a Universal Data Architecture. By combining the principles of warehousing and data mart presentation, the organization can create a body of information which is continually growing and a forum for quick and useful analytical examination. Where data warehousing is
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