BMGT531-1901-Business Intelligence-FA10-AFZAL You are logged in as A Patlolla (Logout) You are here * UNVA-Online * / ► BMGT531-1901-FA10 * / ► Quizzes * / ► BMGT531_FINAL EXAM_ Multiple Choice * / ► Review of attempt 1 BMGT531_FINAL EXAM_ Multiple Choice Review of attempt 1 ------------------------------------------------- Top of Form Bottom of Form Started on | Saturday‚ December 18‚ 2010‚ 02:48 PM | Completed on | Saturday‚ December 18‚ 2010‚ 03:04 PM |
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Business Intelligence at Canadian Tire The overall purpose of Business Intelligence systems and software is to manage and analyze data in a manner that would support effective decision making. The BI initiative could help Canadian Tire to manage and analyze its data in a way that would allow the company to consolidate and integrate some of its information systems. The information provided in the case indicates that CTC is operating and supporting many different operation systems‚ mainframes‚ hardware
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Case Summary FreshDirect is the largest online grocery firm in the New York market‚ and one of the largest in the country. With more than 250‚000 customers ordering over 8‚500 products every day‚ the company faced severe logistics and management decision making issues. To solve these issues‚ FreshDirect adopted a comprehensive enterprise data base system from SAP which utilized a number of business intelligence applications to track orders and customers. SAP AG is a German multinational software corporation
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ROLE OF BUSINESS INTELLIGENCE IN MARKETING Knowledge is profit. As a general rule‚ the most successful man in life is the man who has the best information. It is the same in case of business organizations; the business which has the best available information always has a sustainable competitive advantage. But there is so much information available and very little time. Business Intelligence helps organizations to make better‚ faster decisions about their customers‚ partners‚ and operations
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Brief Analysis During the years 2001 to 2004 of gradual development of Jive Systems‚ the company solidified its status as the fastest growing SBS Company in the industry‚ doubling the size of its workforce since 2008 and increasing full year revenue 85% from 2008 to 2009. Throughout this period of rapid growth and expansion‚ Jive relied on a variety of technologies to handle their sales forecasting process. Till they realized that their structure of business changing almost daily‚ Jive’s eccentric
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Business Intelligence with Data Mining Abstract Banking and finance institutions are growing very fast in this globalization era. Mergers‚ acquisitions‚ globalization have made these institutions bigger. No doubt‚ the data also grow real huge and more varied. Big data storage such as data warehouse and data marts are provided to give a solution on big data storage. On the other sides‚ those data are needed to be analyzed. Business intelligence finally comes in as a solution in analyzing
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provide information to help the company to run the business more efficiently and help managers make better decisions. For most food companies‚ carrying the right inventory levels and supply chain management are major challenges because many foods have relatively short shelf life than other products. This article give me an example of how Coca Cola Japan Group‚ which is using advanced data warehousing techniques provided by Teradata ‚ a hardware and software vendor specializing in data warehousing and analytic
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The Internet and social media websites have provided lucrative business opportunities for many companies. However‚ one particular success story is Zynga‚ a gaming company founded by Mark Pincus and a group of entrepreneurs. Zynga is currently the leading developer of social network games‚ such as CityVille‚ Texas HoldEm Poker and Farmville. Zynga uses Facebook as its main network and relies on the social media aspect of the website to attract potential gamers to play their games. Clearly this method
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Case Study Two (P.483-484) 1. Business Intelligence (BI): applications and technologies used to gather‚ provide access to‚ and analyze data and information to support decision-making efforts. CKE’s business intelligence is able to increase sale by monitored performance of buger sales in a lot of test markets. Thanks to this business intelligence‚ the company could have introduced the Monster Thickburger. CKE can determine that production cost were minimum compared to increase in sales. 2. The
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RAJESH BUSINESS INTELLIGENCE GENERIC EXTRACTION CHAPTER – 4 EXTRACTIONS It is mainly used for extracting the data form other Source Systems like R/3 etc. DataSource: Defines as extract structure and transfer structure from source system (like SAP R/3) and transfer structure from BW side. ES -> What data to be extracted from source system TS -> What data to be extracted from source system to BW. TS is a group of fields which indicated how the data is coming from the source system
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