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Wal-Mart uses high technology to effectively plan and schedule workers shifts. Currently, Wal-Mart boasts 1.2 million workers throughout the world and has been in existence for 43 years (Grant, 2005) HR departments at the different stores and the management constantly ensure that every store has the optimized number of employees to handle the transactions and sales in the store. In the past retailers had permanent employees. Now, Wal-Mart is increasingly employing part-time workers. As the number of stores increase, the number of employees required also increases. Tracking and managing payrolls over a centralized computer database system has proved to be very beneficial for the company.
Wal-Mart invests time and resources to identify products that are preferred by the customer and offering them at prices much below departmental and specialty stores. "Consumer information should be collected systematically and on a timely basis the recommended time between tracking is shortening as shifts in consumer behavior and erosion in brand loyalty accelerate." (Kardon, 1992) Technology and data mining operations have been used to identify market trends and advantages to ensure that the company does not miss opportunities. The increased use of technology to manage operations has also helped Wal-Mart better understand the variables and the impact that these variables have on the profits that can be generated by the company. Peter Drucker stated that markets are not passive entities beyond the control of the entrepreneur or organization; rather, they are very interlinked. Markets can also be influenced.
Maintaining business intelligence and knowledge is also critical. Retailers that are able to better leverage this intelligence and knowledge can help identify the best methods of entering new markets and gaining market share quickly. Wal-Mart's core competencies...
They have been able to do this by using data mining and warehousing effectively. Data warehousing has been gaining tremendous following in organizations like Wal-Mart. This is because of its ability to help companies streamline their supply chain, improve the information transference, make better decisions and consequently improve the profitability of a brewery or distributor over time. Data warehousing is the first step towards knowledge management in the organization.
A large section of the Wal-Mart's workforce, such as checkout clerks, has limited access to the technology infrastructure used by the company. They are often only taught the necessary skill for the task and have no additional knowledge of the use of technology of the intricate monitoring aspects that the technology offers the company. At the management level, Wal-Mart extensively uses every aspect of the technology systems. Thus they are able to effectively harness the best options and solutions for the company.
Bibliography
Blanchard, Dave. "Countdown to Rfid-Day." Logistics Today 45.12 (2004): 1.
Grant, L. "Wal-Mart Ceo Vows 'Unfiltered Truth.'" USA Today, Money section p. 01b (2005).
Kardon, Brian E. "Consumer Schizophrenia: Extremism in the Marketplace." Planning Review 20.4 (1992): 18-23.
Simchi-Levi, David, Philip Kaminsky, and Edith Simchi-Levi. Designing and Managing the Supply Chain: Concepts, Strategies, and Case Studies. 2nd ed. Boston: McGraw-Hill/Irwin, 2003.
Simonsis, Yolanda. "Wal-Mart: Friend or Foe?" Paper, Film and Foil Converter 78.5 (2004): 6.
Toombs, Patrice, and Bevolyn Williams-Harold. "Diversity in the Retail Industry; Away from the Limelight, Little Sign of Commitment."…
Bibliography
Blanchard, Dave. "Countdown to Rfid-Day." Logistics Today 45.12 (2004): 1.
Grant, L. "Wal-Mart Ceo Vows 'Unfiltered Truth.'" USA Today, Money section p. 01b (2005).
Kardon, Brian E. "Consumer Schizophrenia: Extremism in the Marketplace." Planning Review 20.4 (1992): 18-23.
Simchi-Levi, David, Philip Kaminsky, and Edith Simchi-Levi. Designing and Managing the Supply Chain: Concepts, Strategies, and Case Studies. 2nd ed. Boston: McGraw-Hill/Irwin, 2003.
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 and Data Mining Executive Overview Analytics, Business Intelligence (BI) and the exponential increase of insight and decision making accuracy and quality in many enterprises today can be directly attributed to the successful implementation of Enterprise Data Warehouse (EDW) and data mining systems. The examples of how Continental Airlines (Watson, Wixom, Hoffer, 2006) and Toyota (Dyer, Nobeoka, 2000) continue to use advanced EDW and data mining systems and processes to streamline
Similarly, the Air Force needed no only some intelligent reporting capabilities, but a way that Air Force personnel, government employees, and civilian IT contractors would work together in the evaluation of applications and reports in a more robust and real-time manner. "The intent was to provide the Keystone user community the ability to do more complex financial analysis and reporting on a "self-service" basis to reduce overall system maintenance and
because the system is designed to be able to handle complex queries for information much faster than are traditional databases, designing and implementing such an attack becomes more difficult and complex (Warigon, 1997). At the same time, the ease with which information in a data warehouse can be manipulated creates more significant problems than a traditional database should unauthorized access be obtained (TechFaq, 2010). While no database or information
In addition, the support of multiple taxonomies is also critical for a data warehouse, and to the extent the architects have created a database architecture that will provide for metadata definition and re-defining of taxonomies is the extent to which the data warehouse will have greater use in the organization. Without a strong focus on these aspects of data agility, a data warehouse can quickly become outmoded and only
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