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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• . Contour Business Intelligence (Contour BI) Publisher: Contour Components Primary Category: OLAP Product Type: Application Interactive Reporting‚ Data Analysis‚ and Information Delivery. Contour Business Intelligence is a platform for building corporate reporting systems and information delivery solutions for all kinds of business‚ governments‚ and statistical and state agencies. Contour Business Intelligence (Contour BI) includes Contour Reporter (Application for interactive reporting
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Touro University International ITM501 - Management Information Systems and Business Strategy Module 2 Case Assignment: Business Intelligence Systems 04 June 2010 Business intelligence: Definition Business Intelligence (BI) is defined by IBM as‚ “the discipline that combines services‚ applications and technologies to gather‚ manage and analyze data‚ transforming it into usable information to develop insight and understanding needed to make informed decisions.” (IBM.com‚ 2006) In its most
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As we discuss the possibility of emerging into business intelligence software we must keep in mind the overall purpose of using any type of software is to reach strategic goals in order to increase market shares. I will discuss how business intelligence software will allow us to meet those strategic goals. We will establish what type of information and analysis capabilities will be available once this business intelligence software is implemented. We will discuss hardware and system software that
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Interdisciplinary Journal of Information‚ Knowledge‚ and Management Volume 1‚ 2006 Business Intelligence Systems in the Holistic Infrastructure Development Supporting Decision-Making in Organisations Celina M. Olszak and Ewa Ziemba University of Economics‚ Katowice‚ Poland olszak@ae.katowice.pl ewa@ae.katowice.pl Abstract The paper aims at analysing Business Intelligence Systems (BI) in the context of opportunities for improving decision-making in a contemporary organisation. The
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Introduction: The report focuses on data mining approach to predict human wine taste preferences. A large data set is considered with white and red wine samples (“Vinho Verde” wine from Portugal). The inputs include objective tests (e.g. PH values) and the output is based on sensory data (median of at least 3 evaluations made by wine experts). Each expert graded the wine quality between 0 (very bad) and 10 (very excellent). Due to privacy and logistic issues‚ only physicochemical (inputs) and
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Strategic Business Objectives Operational Excellence New products‚ services and business models Customer and Supplier Intimacy Improved Decision Making Competitive Advantage Survival Value Chain Model Primary Activities Inbound Logistics (warehousing systems) Operations (machining systems) Sales and Marketing (electronic ordering) Service (equipment maintenance) Outbound Logistics (automated shipment scheduling) Support Activities Admin/Management (messaging/scheduling) Infrastructure
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Business Intelligence projects start out as a simple report or request for an extract of data. Once the base data is aggregated then the next request usually is about summing data or creating more reports that have different views to the data sets. Before long complex logic comes into play and the metrics coming out of the system are very important to many corporate wide citizens. "Centrally managed business rules enable BI projects to draw from the business know-how of a company and to work with
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the company operations .BI is neither a product nor a system. It is an architecture and a collection of integrated operational as well as decision-support applications and 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
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CUSTOMERS SATISFACTION LEVEL IN COMPACT CAR SEGMENT WITH SPECIAL REFERENCE TO MARUTI Project of Marketing Research By: Faizan Ahmad INSTITUTE OF MANAGEMENT STUDIES LAL QUAN‚ GHAZIABAD – 201 009 SEPTEMBER 2008 TABLE OF CONTENTS CHAPTER NO. CHAPTER PAGE NUMBER 1. LITERATURE REVIEW 6 2. OBJECTIVES 8 3. RESEARCH METHODOLOGY 9 4. RESEARCH DESIGN 10 5. SAMPLE DESIGN 11 6. DATA COLLECTION 12 7. DATA ANALYSIS 13 8. CONCLUSION & FINDINGS 20 9. ANNEXURE 21 CHAPTER 1
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