... | |1.1 Problem definition and background to the problem |2 | |1.2 Scope and limitations of the report |2 | |1.3 The research question |3 | |1.4 A description of the rest of the report |3 | |1.5 Methodology |3 | |2. Findings derived from the Data Analysis | |2.1 Results pertaining to the employer |4 | |2.2 Results pertaining to the employee |12 | |3. Limitations And Conclusions |18 |...
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...implementation of a business intelligence (BI) system is a complex undertaking requiring considerable resources. Yet there is a limited authoritative set of critical success factors (CSFs) for management reference because the BI market has been driven mainly by the IT industry and vendors. This research seeks to bridge the gap that exists between academia and practitioners by investigating the CSFs influencing BI systems success. The study followed a two-stage qualitative approach. Firstly, the authors utilised the Delphi method to conduct three rounds of studies. The study develops a CSFs framework crucial for BI systems implementation. Next, the framework and the associated CSFs are delineated through a series of case studies. The empirical findings substantiate the construct and applicability of the framework. More significantly, the research further reveals that those organisations which address the CSFs from a business orientation approach will be more likely to achieve better results. Keywords: Business intelligence system, Critical success factors, Delphi method, Case study INTRODUCTION Recently Business Intelligence (BI) applications have been dominating the technology priority list of many CIOs [11, 12]. According to Reinschmidt and Francoise [22], a BI system is “an integrated set of tools, technologies and programmed products that are used to collect, integrate, analyse and make data available”. Stated simply, the main tasks of a BI system include “intelligent exploration...
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...Methods 3 3.3 Justifying the Research Methods 4 3.4 The impact of BI on Sensible Solution Ltd 4 4. LITERATURE REVIEW 7 4.1 BI Architecture and components 8 4.2 Enterprise Resource Planning (ERP) 9 4.3 Levels Of Strategy Within An Organisation And Linkage To Bi 11 4.3.1 The Corporate Level Strategy 11 4.3.2 Business-Level Strategy 12 4.3.4 Operational Strategy 13 4.3.5 Bi implementation strategies 14 4.3.5 Balance Scorecard (BSC) 15 5. The Macro Environment of Sensible Solution Ltd 17 5.1 Swot Analysis 17 5.2 Pestle Analysis 18 6. CONCLUSION/RECOMMENDATIONS 19 7. REFERENCES 21 LIST OF FIGURES Figure 1:Linking Sensible Solution Ltd strategy and goals with Business Intelligence 5 Figure 2:Linkage in Organisation & Functional Benefits of Business Intelligence 6 Figure 3:What business intelligence means in practice 7 Figure 4:The Road Map of BPM define the steps that the company needs to follow as a guide to ensure that the I.T Strategic has the same goals as business strategy 9 Figure 5:ERP integration of all departments within organisation 10 Figure 6:The Enterprise Data Model is the Foundation for Linking Strategy and Analytic Capabilities - it Links the Data to the Business Strategy 11 Figure 7:Business Strategy and BI capabilities 12 Figure 8:The layout of Corporate Strategy, Business Strategy and Operational strategy Links to BI 13 Figure 9:The BI Pathway Methods 14 Figure 10:Business intelligence development process flow...
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...New York Street, Redlands, CA 92373-8100 USA. The information contained in this document is subject to change without notice. Esri, the Esri globe logo, esri.com, and @esri.com are trademarks, service marks, or registered marks of Esri in the United States, the European Community, or certain other jurisdictions. Other companies and products or services mentioned herein may be trademarks, service marks, or registered marks of their respective mark owners. J10116 Esri Location Analytics for Business Intelligence An Esri White Paper Contents Page Executive Overview.............................................................................. 1 Proven Value of Business Intelligence ................................................. 1 GIS and BI: The Timing Is Right ......................................................... 2 Challenges............................................................................................. 3 Solution: Esri Location Analytics......................................................... 4 Architectural Overview......................................................................... 4 Location Analytics Solution...
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...depending on how it is used. Now if it is used correctly this can create more much efficient ways of going about a companies process or getting information and making big decisions. The biggest thing with business intelligence is getting the information that you are looking for easily compared to what some other companies do, by using long formulas on a spreadsheet which could sometimes take hours to collect to get what could be accurate information. While looking through some businesses that have implemented BI (Business Intelligence) into their company, I was able to determine that they all became more efficient and in the end used less man hours getting information that they were looking for. Some businesses try collecting business information and it comes from a variety of different places and sources, to be put together in one area. This for one takes time to gather and two is much less efficient, requiring more people and more hours, causing a company to lose money. Sometimes the information may not be entirely accurate as well because of how long it takes to gather up and by the time they get the information they are looking for it is already out of date. In the end business intelligence eliminates "guess work" which a lot of higher-up in businesses have to do sometimes because of their business lacking the data structure to get the information needed. Another thing BI would do is help a company answer and decide situations much faster because they are able to get...
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...BI Norwegian School of Management – Thesis Master of Science in Innovation and Entrepreneurship GRA 19002 Convergence, Complementarity or Disruption: Enterprise Search and Business Intelligence By Vedrana Jez Hand-in date: 01.09.2009 Supervisor: Dr. Espen Andersen This thesis is a part of the MSc programme at BI Norwegian School of Management. The school takes no responsibility for the methods used, results found and conclusions drawn. Acknowledgments I would like to thank my supervisor, Dr. Espen Andersen, for his support and guidance throughout the project. I am also grateful to all participants in this research for their contribution and time. Finally, I thank my family for their understanding, encouragement and patience. Thesis 01.09.2009 Content Content ..................................................................................................................... i Abstract .................................................................................................................. iv Introduction ............................................................................................................ 1 Research Methodology ........................................................................................... 2 Research Question .........................................................................................................2 Method Used ..................................................................
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...Christian, Chemnitz University of Technology, Thueringer Weg 7, 09126 Chemnitz, Germany, christian.kurze@wirtschaft.tu-chemnitz.de Gluchowski, Peter, Chemnitz University of Technology, Thueringer Weg 7, 09126 Chemnitz, Germany, peter.gluchowski@wirtschaft.tu-chemnitz.de Boehringer, Martin, Chemnitz University of Technology, Thueringer Weg 7, 09126 Chemnitz, Germany, martin.boehringer@wirtschaft.tu-chemnitz.de Abstract Leveraging information is a key success factor for companies. Over the last two decades Business Intelligence (BI) has evolved to become a foundational cornerstone of enterprise decision support. However, prior research shows that small and medium-sized enterprises (SMEs), in particular, lag behind in the proliferation of BI. In this exploratory study we examine BI adoption within German SMEs in the state of Saxony (n = 214). We explore perceived benefits and challenges in their efforts to implement BI. By applying cluster analysis to these results we...
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...(Bapt ou Greg) Business intelligence, or BI for short, is a term that refers to competencies, processes, technologies, applications and practices used to support evidence-based decision making in organisations. In the widest sense it can be defined as a collection of approaches for gathering, storing, analysing and providing access to data that helps users to gain insights and make better fact-based business decisions. The basic components of Business Intelligence are gathering, storing, analysing and providing access to data (see Figure). Gathering Data Gathering data is concerned with collecting or accessing data which can then be used to inform decision making. Gathering data can come in many formats and basically refers to the automated measurement and collection of performance data. For example, these can come from transactional systems that keep logs of past transactions, point-of-sale systems, web site software, production systems that measure and track quality, etc. A major challenge of gathering data is making sure that the relevant data is collected in the right way at the right time. If the data quality is not controlled at the data gathering stage then it can jeopardise the entire BI efforts that might follow - always remember the old adage - garbage in garbage out. Storing Data Storing Data is concerned with making sure the data is filed and stored in appropriate ways to ensure it can be found and used for analysis and reporting. When storing data the same...
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...BI Software at SYSCO BI Software at SYSCO Business Intelligence SOFWARE at SYSCO 1. What will be the biggest obstacles faced by the business intelligence implementation as it expands throughout SYSCO? A) Highly Decentralised Business: SYSCO was a highly decentralized business composed of over 100 operating companies. The process of Business intelligence implementation calls for centralized architecture and data/information sharing. The success of SYSCO has been predominantly due to the autonomous functionality given to the operating companies. Though, BI calls for a centralized approach, a conflict between the two approaches will have to be managed in a constructive way. B) Implementation Timeline: Twila Day wanted that the deployments within SYSCO operating companies should start as early as July 2003, just 6 months away. So, the time vs. effectiveness dilemma will come up. C) Various ERP systems: Even after implementation of a centralized ERP in 2003, most specialty companies still had their legacy systems in place and this meant that the information was not consistent across all parts of the corporation. D) Small Scale BI applications: Some of the companies across the organization had already small BI applications in place for the decentralised structure that they had. It will be difficult to manage along with these BI applications and also it will be very hard to squash out these applications to have a consistent BI application across the corporation...
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...Running Head: BUSINESS INTELLIGENCE A REVIEW OF LITERATURE Business Intelligence: A Review of Literature Richard Clark Liberty University Abstract An explorative and descriptive review of literature on Business Intelligence (BI). It presents various definitions of the term “Business Intelligence” and determines that regardless the definition is a “means” to “end”, which sound business or organizational decision making, specifically in strategic planning and management. It also presents several important differentiation of Business Intelligence from data-centric technologies, and enterprise applications. It describes business intelligence architecture and its components. It identifies capabilities and benefits to be derive from it, barriers to its successful implementation, and critical success factors. It identifies BI software vendors, trends and forecast, and ethical considerations. It concludes with a conceptual framework that shows business intelligence as a process that produces intelligence necessary for strategic planning and management, that in turn results to a strategy that creates competitive advantages. This paper is an explorative and descriptive review of literature on Business Intelligence (BI). An exploratory research as the name suggests explores a problem or a situation with the purpose of defining an ambiguous problem. It is undertaken from the perspective of a student in management and of an IT “dummy”. Consequently, the review strategy is...
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...University The Department of Information Technology and Media (ITM) Author: Katarina Lundqvist, kalu9700@student.miun.se Study program: Master of Science in Engineering – Computer Engineering, 270 higher education credits Examiner: Tingting Zhang, tingting.zhang@miun.se Tutor: Aron Larsson, aron.larsson@miun.se Tutor: Mats Olsson, mats.olsson@sogeti.se Scope: 20102 words inclusive of appendices Date: 2010-03-17 M.Sc. Thesis in Computer Engineering AV, 30 higher education credits Tools for Business Intelligence A comparison between Cognos 8 BI, Microsoft BI and SAP BW/NetWeaver Katarina Lundqvist Abstract 2010-03-17 Tools for Business Intelligence A comparison between Cognos 8 BI, Microsoft BI and SAP BW/NetWeaver Katarina Lundqvist Abstract The aim of the thesis was to conduct a general study of Business Intelligence and BI systems followed by a comparison of Cognos 8 BI, Microsoft BI and SAP BW/NetWeaver. The goal was to distinguish similarities and differences between the tools regarding technique, cost, usability and educational need and to provide a mapping for different customer situations. The method consisted of a theoretical study followed by a practical part including development, testing and interviews. The comparison showed that SAP and Microsoft both use the client/server model while Cognos is an integrated web-based system built on SOA. SQL Server can only be installed on Windows while BW and Cognos also support UNIX,...
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...SEMINAR - 3 GUIDE NAME: MS. KAMATCHI .T NAME: SATHISH KUMAR.V REG NO : 212412631043 CLASS : MBA 2nd YEAR ECONOMIC AND BUSINESS INTELLIGENCE 8.1- DEFINITION OF BUSINESS INTELLIGENCE: * Business intelligence (BI) refers to computer-based techniques used in spotting, digging-out, and analysing business data, such as sales. * The term Business Intelligence (BI) represents the tools and systems that play a key role in the strategic planning process of the corporation. These systems allow a company to gather, store, access and analyse corporate data to aid in decision-making. Generally these systems will illustrate business intelligence in the areas of customer profiling, customer support, market research, market segmentation, product profitability, statistical analysis, and inventory and distribution analysis to name a few. * Business intelligence is the process of gathering information in the field of business. Information is typically obtained about customer needs, customer decision making processes, the competition and competitive pressures, conditions in the industry, and general economic, technological, and cultural trends. Business intelligence is carried out to gain sustainable competitive advantage, and is a valuable core competence...
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...asgary29@gmail.com Seyed Vahid Mirhosseini MehrAlborz University, Tehran, Iran E-mail: vmirhosseini@gmail.com Abstract In today’s challenging business environment, it is a vital for organization to access useful information and knowledge. Business Intelligence (BI) is an umbrella concept for tools, techniques and solutions that helps managers to understand business situation. And BI tools can support informational knowledge needs of organizations. With respect to increasing trend of BI researches in BI concepts and applications, in this paper, recent researches and papers of academic journals in this field is systematically review to classify and prioritize the concepts and approaches of business intelligence. Consequently researches was classified in three, managerial, technical and system enables approaches to BI, and specification of each approach and future research quid was described. Keywords: Business Intelligence; Enterprise Intelligence Approaches Systems; Review Study; Business 1. Introduction Today, in the rapidly changing environment, need to correct and just-in-time information is not only necessary for success but also is required for remaining in competition. Business intelligence (BI) refers to a managerial philosophy and a tool used to help organizations manage and refine business information with the objective of making more effective business decisions (Ghoshal & Kim, 1986; Gilad & Gilad, 1986)....
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...term Business Intelligence was coined by Hans Peter Luhn of IBM wherein he describes the Business Intelligences as ability to find the interrelationships among the available data and guide the set of actions to reach the desired goal. What all an organization needs to be a leader in the market is information. Information can be available in large forms like web resources, text data, graphs and statistics. The more information a firm has the more powerful it is getting on. Firms need to assess the future market condition with the available previous and present data so as to be a leader. The major goal of Business Intelligence is to dwell in all the available information, refine it and organize it in such a way that right information is passed to right people through the right way. Now, data can be in vast amounts, of which some might be useful and some might not be useful. Business intelligence tools like reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics help the firms in sorting out the useful data. Business intelligence systems help the firms in taking decisions based up on the dwelled data. Thereof Business Intelligence Systems can also be called as Decision Support Systems. Business Intelligence uses technologies, processes, and applications to analyze mostly...
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...as BI, is a general term, which refers to various software applications used in the analysis of an organization’s raw data. Business Intelligence as a discipline comprises of various related activities, which include data mining, internet-based analytical processing, reporting, and querying. Business organizations use BI in order to improve in decision-making, reduce costs of operation, and identify new business opportunities. Companies use BI in order to identify inefficient business processes, which need re-engineering. With the current BI tools, business organizations can take the role of analyzing their data by themselves instead of waiting for IT systems to run complex reports. BI enhances the democratization of information access, which is helpful for users when it comes to information back-up. Even though BI holds the future of business solutions, its implementation in a business organization can pose technical and cultural challenges. The organization’s administration must ensure that BI applications used to feed data are clean and consistent in order to be trusted. BI is made up of a set of theories, procedures, technologies, and architectures, which are used to transform raw data and information into meaningful and useful data and information for use in business operations. BI is effective in handling huge amounts of unstructured data and information. It helps in identifying, developing, and creating new opportunities for the business ventures in the industry. BI is...
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