warehouse Case : Continental Airlines Flies High with its Real-time Data Warehouse As Business Intelligence (BI) becomes a critical component of daily operations‚ real-time data warehouses (DW) that provide end users with rapid updates and alerts generated from transactional systems are increasingly being deployed. Real-time data warehousing and BI‚ supporting its aggressive Go Forward business plan‚ have helped Continental Airlines alter its industry status from “worst to first” and then
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Business Intelligence Definitions • Data mining (knowledge discovery in databases): – Extraction of interesting (non-trivial‚ implicit‚ previously unknown and potentially useful) information or patterns from data in large databases • Data mining helps end users extract useful business information from large databases • Data mining is the exploration and analysis of large quantities of data in order to discover meaningful patterns and rules. • The goal of data mining may be to allow a corporation
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Business analytics and data mining provided 1-800-Flowers with all of the following benefits except: Select one: a. more efficient marketing campaigns b. increased mailings and response rates c. increased repeat sales d. better customer experience and retention On the commercial side‚ the most common use of data mining has been in ________ sectors. Select one: a. manufacturing and heath care b. online retail and government c. R&D and scientific d. finance‚ retail‚ and health
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1. Business strategy analysis Strategy analysis enables the analyst to understand the underlying economics of the firm and the industry in which the firm competes. Involves 3 key steps: 1. Industry analysis What economic factors drive the industry choice? Impact on profitability? 2. Competitive strategy How has the company positioned itself in the industry? 3. Corporate strategy Can the company create value across the range of its business? (Ability to exploit synergies‚ minimisation
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21 records was chosen for prediction of class. Data mining technique used Classification technique has been used for the project which incorporates analysis of training set and test set to determine the relationship between various attributes with the class and also determines the accuracy of the training set analysis and test set analysis. Random sample is considered later for the prediction using the model built. Multilayer perceptron model has been used to make the prediction. Training
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example‚ “improve results” is not specific. “Increase the number of repeat sales to existing customers” is specific. That gives you something tangible to record in your project documentation and work towards. The project team can clearly see what the business is trying to achieve through this project. Measurable Objectives should be measurable. If you are trying to increase the number of repeat sales to existing customers‚ you need to know how many sales of this type you currently have. Then you can
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databases that provide the business community easy access to business data. BI Is 1st coined by IBM researcher Hans Peter Luhn in 1958. He Defined intelligence as the Ability to apprehend the interrelationship of presented facts in such a way to guide action towards desired goal. Involves PEOPLE and Technology. Involves using a rational approach to management. Involves a continuous cycle of measurement‚ adjustment & re-measurement. Stages of BI: Data Sourcing Data Analysis Situation Awareness
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the 1994 North American Free Trade Agreement (NAFTA) (which includes Mexico) touched off a dramatic increase in trade and economic integration with the US. Canada enjoys a substantial trade surplus with the US‚ which absorbs about three-fourths of Canadian exports each year. Canada is the US ’s largest foreign supplier of energy‚ including oil‚ gas‚ uranium‚ and electric power. Given its great natural resources‚ skilled labor force‚ and modern capital plant‚ Canada enjoyed solid economic growth from
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Transformation through Business Intelligence Deployments Business intelligence (BI) is a broad category of applications and technologies for gathering‚ storing‚ analyzing‚ and providing access to data to help enterprise users make better business decisions. BI applications include the activities of decision support systems[->0]‚ query[->1]and reporting‚ online analytical processing (OLAP[->2])‚ statistical analysis‚ forecasting‚ and data mining[->3]. Business intelligence applications can be:
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Oracle Business Intelligence: A Case Study Introduction We live in an everyday changing world where technology is constantly generating data and valuable information for organizations and communities‚ which is often overlooked or undervalued. Business Intelligence is a concept‚ accompanied by a set of tools and techniques that powers the use of data towards business strategies and goals already established. It enhances the use of technology for competitive advantage through better use of information
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