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    Secondary Data

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    Q) What are Secondary Data? Secondary Data Secondary data is information gathered for purposes other than the completion of a research project. Data previously collected by someone else‚ possibly for some other purpose that can be used later for making decisions if found suitable for the purpose‚ other than the original one. Secondary data can be acquired from the internal records of the organization‚ their departments‚ subsidiaries or sister organizations and also from external sources‚ such

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    big data

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    Big Data In It terminology‚ Big Data is looked as a group of data sets‚ which are so sophisticated and large that the data can not be easily taken‚ stored‚ searched‚ shared‚ analyzed or visualized making use of offered tools. In global market segments‚ such “Big Data” generally looks throughout attempts to identify business tendencies from accessible files sets. Other areas‚ exactly where Big Data continually appears include various job areas of research for example the human being genome and also

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    expected to work between 50-60 hours a week as an entry-level associate‚ and are required to attend office meetings. Up to date information is critical‚ therefore; without the proper technology it would be almost impossible to perform complicated data analysis or monitor current investment activities. Despite long hours and impressive workloads‚ employees enjoy a comfortable work atmosphere with accommodating offices that have access to state-of-the-art computer systems and other technology. Working

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    Data Mining

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    Data Mining And Statistical Approaches In Identifying Contrasting Trends In Reactome And Biocarta By Sumayya Iqbal SP09-BSB-036 Zainab Khan SP09-BSB-045 BS Thesis (Feb 2009-Jan 2013) COMSATS Institute of Information Technology Islamabad- Pakistan January‚ 2013 COMSATS Institute of Information Technology Data Mining And Statistical Approaches In Identifying Contrasting Trends In Reactome And Biocarta A Thesis Presented to COMSATS Institute of Information Technology‚ Islamabad In

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    DATA MANAGEMENT

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    Topic 1: The Data Mining Process: Data mining is the process of analyzing data from different perceptions and summarizing it into useful evidence that can be used to increase revenue‚ cut costs or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles‚ categorize it and summarize the relationships identified. Association‚ Clustering‚ predictions and sequential patterns‚ decision trees and classification

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    Like a car needs an engine‚ your garage door can’t operate without a fully functional‚ automatic garage door opener. If a malfunctioning opener has rendered your garage door useless‚ the experts at Automatic Garage Door Repair Service encourage taking a proactive approach. Having provided incomparable garage door services to homeowners across Rochester‚ NY‚ for over 45 years‚ they suggest ways to troubleshoot these common opener issues: Opener Functioning Noisily: Has your garage door been making

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    Hr Data

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    team‚ collect different types of data. One of them is meeting legal requirements. In order to satisfy legal obligations we collect such information as contractual arrangements‚ employees’ duties‚ privileges‚ salaries‚ working hours‚ vacation accruals‚ bonuses‚ as well as documents relating to health and safety. The Russian Labor Inspection can check any data regarding individual employees and it is important for the organization to timely provide accurate and valid data in order to avoid fees or other

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    Data Gathering

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    Data Gathering ➢ used to discover business information details to define the information structure ➢ helps to establish the priorities of the information needs ➢ further leads to opportunities to highlight key issues which may cross functional boundaries or may touch on policies or the organization itself ➢ highlighting systems or enhancements that can quickly satisfy cross-functional information needs ➢ a complicated task especially in a large and complex system ➢ must

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    Recommendation and Conclusion Based on this analysis‚ our recommendation focuses on three main areas: 1) A Blending of Brands: AirAsia has established a great name and reputation‚ and should continue to add to its success by integrating the AirAsia X brand. This can be achieved by the “X” representing premium choices on long-haul flights. This will this ease brand confusion by having only one Air Asia brand with extra (X) options‚ and will present a strong united front. 2) Implement Long-Haul Flights

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    In the article “The Data Suggest” Christopher Gillen (2014) explained the proper use of data in scientific writing. Gillen explained‚ “Data are crucial to scientific argumentation‚ but they are by no means the end of the story” (p.204). The use of data is important‚ but its usage should be proper in order for it to be successful. He also explained‚ “Scientific progress depends on the insight and creativity that scientists bring to their data” (p.204). Writers should engage their audience in their

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