ID: 97731331 HANOI-2008 Table of Contents 1 Background 2 2 Content 2 Model-driven DSS 4 Data-driven DSS 4 Business Intelligence 5 Analysis of the DSS-BI connection 6 3 Conclusion 7 4 Reference 8 The characteristics of DSS and BI Background Nowadays‚ firms are changing and becoming digital firms. If the digital firm is a house‚ the data warehouse is the foundation and the most important part. In this body of the house‚ business applications such as (Enterprise
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Strategic Planning Support Systems (Student Name) Course Name Faculty Name Date Abstract Strategic planning is the overall planning that facilitates the good management of a process by taking employees outside the everyday activities of their organization and provides them actual representation of what they are doing and where they are going. A Strategic planning process includes mission statement‚ goals for accomplishing mission‚ approaches
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structure. However‚ information inconsistencies were accumulated from their decentralized IT system. To tackle this‚ SYSCO has already adopted an ERP system and a data warehouse‚ and is deciding to invest in a Business Intelligence (BI) system. Issues & Problems 1. Utilization: Massive amount of data in the data warehouse are stored‚ but cannot be analyzed. a. Information cannot be efficiently extracted. Reports take weeks to generate. b. Most employees lack the expertise
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understand the importance of a data warehouse 2. identify strategic advantages that an organization can derive from a data 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
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Big Data Management: Possibilities and Challenges The term big data describes the volumes of data generated by an enterprise‚ including Web-browsing trails‚ point-of-sale data‚ ATM records‚ and other customer information generated within an organization (Levine‚ 2013). These data sets can be so large and complex that they become difficult to process using traditional database management tools and data processing applications. Big data creates numerous exciting possibilities for organizations‚
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Case Study > Data Warehousing Continental Airlines I. Executive Summary Table of Contents I II III IV V Executive Summary The Decision to Invest Implementation New Business Strategies ROI 2 4 6 9 19 20 Technical Appendix A Continental’s comeback from “Worst to First” is an airline industry legend. Now the company is engaged in a new initiative to move from “First to Favorite.” To support this ambitious initiative‚ Continental tapped into its Enterprise Data Warehouse and expanded it
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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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Big data describes innovative methods and technologies to capture‚ distribute‚ manage and analyze larger-sized data sets with high rate and diverse structures that conventional data management methods are unable to handle. Digital data is now everywhere—in every sector public or private‚ economy‚ organization and customer of digital technology. There are many ways that big data can be used to create value across sectors of the global economy. It has demonstrated the capacity to improve predictions
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uses which of Porter’s strategies? 10. A collection of servers called a ________ coordinates the activities of hundreds of users. 11. A grocery scanning checkout system would be an example of ________. 12. Computers represent data using ________. 13. Main memory contains data and instructions for the ________ program‚ which controls the computer’s resources. 14. SQL stands for: 15. The name of the field‚ the
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2.1. DATA AND INFORMATION Data Data is the raw materials from which information is generated. Data are raw facts or observations typically about physical phenomena or business transactions. It appears in the form of text‚ number‚ figures or any combination of these. More specifically data are objective measurements of the attributes (the characteristics) of entities (such as people‚ places‚ things and events) According to Loudon and Loudon- “Streams of raw facts representing events
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