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    Creating a Data Warehouse

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    Paper Creating a Data Warehouse Introduction Data warehouses are the latest buzz in the business world. Not only are they used to store data for reporting and forecasting‚ but they are part of a decision support system. There are many reasons for creating and using a data warehouse. The data warehouse will support the decisions a business needs to make‚ usually on a daily basis. The data warehouse collects data‚ consolidates the data for reporting purposes. Data warehouses are accompanied

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    data mart

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    1. Data mart definition A data mart is the access layer of the data warehouse environment that is used to get data out to the users. The data mart is a subset of the data warehouse that is usually oriented to a specific business line or team. Data marts are small slices of the data warehouse. Whereas data warehouses have an enterprise-wide depth‚ the information in data marts pertains to a single department. In some deployments‚ each department or business unit is considered the owner of its data

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    Data Research

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    Data Collection: Data collection is the heart of any research. No study is complete without the data collection. This research also includes data collection and was done differently for different type of data. TYPES OF DATA Primary Data: For the purpose of collecting maximum primary data‚ a structured questionnaire was used wherein questions pertaining to the satisfaction level of the customer about pantaloons product(apparel)‚ the quality‚ color‚ variety of products‚ the availability of different

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    Data Communicatio

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    trends indicate that iterative‚ evolutionary approaches help to improve project success. ____ 8. Economic feasibility asks whether the anticipated benefits are greater than the projected costs to develop the information system. ____ 9. Increased customer satisfaction (not measurable in dollars) is an example of a tangible benefit. ____ 10. Schedule feasibility is not a concern when the project must be completed by a specific date. ____ 11. Questionnaires are an effective method for obtaining

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    customer complaint

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    Customer Complaints: A Gift in Disguise Werner‚ John. ASQ Six Sigma Forum Magazine12.3 (May 2013): 28-30. Abstract (summary) Improving the complaint management process is important for any organization‚ and the rewards for establishing an effective process are substantial and well worth the effort. When customers experience a problem with a product or service‚ some will complain to the front-line personnel. Most organizations do not have a complaint tab or button on their home page or on their

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    data structures

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    Professor Faleh Alshamari Submitted by: Wajeha Sultan Final Project Hashing: Open and Closed Hashing Definition: Hashing index is used to retrieve data. We can find‚ insert and delete data by using the hashing index and the idea is to map keys of a given file. A hash means a 1 to 1 relationship between data. This is a common data type in languages. A hash algorithm is a way to take an input and always have the same output‚ otherwise known as a 1 to 1 function. An ideal hash function is

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    Customer Satisfaction

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    2.1. Customer satisfaction definitions. Customer satisfaction has also been defined by another author as the extent to which a product’s perceived performance matches a buyer’s expectations (Kotler et al.‚ 2002‚ p. 8). According to Schiffman & Karun (2004) Customer satisfaction is defined as “the individual’s perception of the performance of the products or services in relation to his or her expectations” customer satisfaction could be the pleasure obtained from consuming an offer.

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    Customer Satisfaction

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    Customer Satisfaction Strategies What is customer satisfaction? We are in the midst of a revolution in business. Some call it a customer revolution‚ others a quality revolution‚ others a service revolution. Organizations are attempting to obtain increased customer satisfaction by focusing on the quality of their products and the service provided. This movement toward quality has produced significant benefits but just like other business fads‚ joining and adopting the religion does not insure

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    Secondary data

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    Secondary data refers to the data which an investigator does not collect himself for his purpose rather he obtains them from some other source‚ agency or office. In other words‚ this data has already been collected by some other source and an investigator makes use of it for his purpose. Secondary data is different from primary data on the basis of the sources of their collection. The difference between the two is relative - data which is primary at one place become secondary at another place.

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    customer satisfaction

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    The research register for this journal is available at http://www.mcbup.com /research_registers IJQRM 18‚7 722 Received August 2000 Revised February 2001 The current issue and full text archive of this journal is available at http://www.emerald-library.com/ft Case studies on the implementation of TQM in the UK automotive SMEs Sha’ri Mohd. Yusof Universiti Teknologi Malaysia‚ Johor Bahru‚ Malaysia‚ and Elaine Aspinwall University of Birmingham‚ Birmingham‚ UK Keywords TQM

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