...The case study "Information System as an Effective Force against H1N1 Pandemic demonstrates an example of the type of value that can be reaped from utilizing Business Intelligence systems within the medical community. Business Intelligence systems were designed to process collected data and produce a display of interesting information. These systems are commonly in use by the business community. The application of these types of systems have proven themselves extremely valuable allowing business to react quickly to ever changing business conditions. In the modern age, technology has greatly increased the ability of people to communicate and transact business around the globe. By the same token, technology has provided solutions for monitoring these ever changing conditions allowing business decisions makers to react quickly and with greater ability. Within the case study we see how the benefits provided by utilizing a Business Intelligence system can produce positive results in the medical field. When looking at the application of a BI system into the medical field we first observe that there are key differences between the needs of business and medical professionals. However, if we are to apply a business oriented system to the medical field there must also be similarities in the processes they follow. Reviewing these differences and similarities will provided a greater understanding of the usefulness a medical professional will find in a business intelligence system. ...
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...Cincinnati Zoo Case Study Florida Tech University Cincinnati Zoo Case Study Reviewing the Case Study on page 465 of the text on how analytics help the Cincinnati Zoo know its customers, we are faced with two questions. These questions are as follows: How did the Cincinnati Zoo benefit from business intelligence How did it enhance operational performance and decision making? After reading over this case study, I have come to the prediction that Cincinnati Zoo benefits from business intelligence by first upgrading its information systems to focus more on an alytics and data management standpoint (Laudon, 2014) The Zoo used infrastructure for collecting, storing, and analyzing data produced by business databases, data warehouses, and data markets. By using the partnership of IBM and BrightStar Partners, IBM Cognos Business Intelligence provided real-time analytics and reporting (Laudon, 2014). Through the business intelligence programs, Cincinnati Zoo benefits for a higher profit by sending weather forecast data to the intelligence system to make more accurate decisions about staffing and inventory planning. The enhanced operational performance and decision making of Cincinnati Zoo can be said to be that of a High-velocity automated decision making. These decisions are made readily through the Zoo intelligence system which led the business to dramatically improvements in sales as well as profit gains. The Cincinnati Zoo intelligence solution achieved defining steps for a...
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...CRITICAL SUCCESS FACTORS FOR BUSINESS INTELLIGENCE SYSTEMS WILLIAM YEOH University of South Australia SA 5095 Australia ANDY KORONIOS University of South Australia SA 5095 Australia The 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...
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...net/ajaysuman/artificial-intelligence-in-business ARTIFICIAL INTELLIGENCE IN BUSINESS Introduction Business applications utilize the specific technologies mentioned earlier to try and make better sense of potentially enormous variability (for example, unknown patterns/relationships in sales data, customer buying habits, and so on). However, within the corporate world, AI is widely used for complex problem-solving and decision-support techniques in real-time business applications. The business applicability of AI techniques is spread across functions ranging from finance management to forecasting and production. In the fiercely competitive and dynamic market scenario, decision-making has become fairly complex and latency is inherent in many processes. In addition, the amount of data to be analyzed has increased substantially. AI technologies help enterprises reduce latency in making business decisions, minimize fraud and enhance revenue opportunities. Definition of AI AI is a broad discipline that promises to simulate numerous innate human skills such as automatic programming, case-based reasoning, neural networks, decision-making, expert systems, natural language processing, pattern recognition and speech recognition etc. AI technologies bring more complex data-analysis features to existing applications. There are many definitions that attempt to explain what Artificial Intelligence (AI) is. I like to think of AI as a science that investigates knowledge and intelligence, possibly...
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...University Management Software CIS 515 Strayer University Abstract This study examines the requirements for a consolidation strategy to centralize all student records for a prestigious university. As a result, this study will develop a data model to retain student records and allow data extraction and load processes, formulate a data structure entity relationship model for the data structure, show how business intelligence reports can help the university and examine and recommend software solutions for the university to utilize. Entity Relationship Model In order to properly indentify the university’s requirements and create an accurate proposal, the first step should be to create and Entity Relationship Model (ERM). The ERM will provide a visual representation of the data structure of the data stores and show the relationships between the data. The following diagram displays the ERM: The above ERM represents the data store relationships that are based on several assumptions. The first assumption is that the faculty is capable of teaching more than one course and that students can only enroll in one course curriculum. Another assumption is that faculty only teach at one campus and that teach faculty is assigned one Dean. Finally, another assumption is that some campuses have particular schools, whereas others do not. Therefore, the data represented in the ERM shows that relationships between the data structure, but it is based on assumptions...
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...Business Intelligence is very important for a business and it can either help or hurt a business 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...
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...Bsuiness Intelligence Information networks and business intelligence: decision locus and political hotbed By: Julie Stephens Case, Module 2 ITM 501: Mgt. Info. Syst. And Bus. Strategy Trident University Dr. James Marion, Core Professor October 25, 2011 To have a successful organization in today’s economy; employees must be given the tools needed to keep up with the changing market. Many top executives have made tough decisions and have made good decisions and poor decisions along the way regarding Business Intelligence. Business Intelligence (BI) is a term that refers to a variety of software applications used to analyze an organization’s data. It is a discipline made up of several activities, including data mining, analytical processing, query and report writing. This paper will discuss two Business Intelligence case studies and lessons learned from the studies regarding creating, implementing, and using business intelligence. LESSONS LEARNED Reviewing Marshfield Clinic’s early investment in an electronic patient records system is a concern. Although many clinics are turning to electronic patient records now, an early investment may mean that the system they elected to implement is not capable with newer technologies that management may want to incorporate in the future. Not anticipating changes and making preparations for it could cause issues later. Because this system has been utilized by the clinic for a period of time, did they...
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...IS5111:Integration of IS & Business Business Intelligence and Analytics Abhishek Kumar Singh Anbarasan Thangapalam R Deepak Chattani Naadiya Danapal Ram Vibhakar S [A0120022] [A0119959] [A0119975] [A0119961] [A0120054] A Case study on Business Intelligent and Analytics Systems in NTUC FairPrice Table of Contents Executive Summary ............................................................................................................................. 3 Acknowledgments ............................................................................................................................... 4 1. Introduction ...................................................................................................................................... 5 2. Business Intelligence in Retail Industry: ................................................................................. 6 3. Combining BI in CRM ...................................................................................................................... 7 3.1 Analytical CRM ..........................
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...Jacob Moore GBA 673 Business Intelligence Jacob Moore GBA 673 Dr. Lara Preiser-Houy, CDP August 20th, 2013 1|Page Jacob Moore GBA 673 Table of Contents Abstract ....................................................................................................................................................... 3 Introduction ............................................................................................................................................... 3 Background ................................................................................................................................................ 4 Conceptualization ..................................................................................................................................... 4 BI 1.0 ......................................................................................................................................................... 4 BI 2.0 ......................................................................................................................................................... 5 BI 3.0 ......................................................................................................................................................... 5 Opportunities ............................................................................................................................................ 6 Challenges ........................................
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...Business Intelligence and Decision Making of Successful Women Entrepreneurs in Northern States of Malaysia Heng Man Chia, Tan Wen Pei, Lim Wang Ru and Yew Bee Jue (2012,UUM) ABSTRACT Women entrepreneurs increasingly become the important role and make a contribution to the economics of the country. The main purpose of this paper is to determine the effects of business intelligence and decision making to the successful women entrepreneurs. This research is mainly focused on the women entrepreneurs in the Northern States of Malaysia as there is no previous research are done in this study. Currently, the government had provided the incentives to support the women entrepreneurs in their business activities. There are plenty of women set up their business in the Northern States of Malaysia. The quantitative methodology used by the researchers in this study based on 95 women entrepreneurs, engaging in their business in the Northern States of Malaysia. The business they engaged mostly in the food industry. The findings of this research indicated that the business intelligence and decision making has not influenced the women entrepreneurs that lead them to success. There are other factors that lead to women entrepreneur success. They might depend on their intuition or advice from others. Most of them are running the micro enterprise. The women entrepreneurs concerned the significance of the education. A discussion on the demographic profile of women entrepreneurs is also provided...
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...InsureCo’s Case Report TUTOR WORKSHOP TIME: DUE DATE: DATE SUBMITTED: Contents Contents 0 1.0 Executive Summary 1 2.0 Introduction 2 2.1 Report Topic 2 2.2 Limitations 2 2.3 Sources of Data 2 2.4 Organisation of Report 2 3.0 The Lack of Appropriate Planning for Change………………………………………..3 3.1 Lack of Contingency Planning 3 4.0 Insufficient Investment in Leadership and Team Building 4 4.1 Transactional Leadership 4 4.2 Transformational Leadership 5 5.0 Transformational Leadership, Work Engagement and Emotional Intelligence 6 5.1 Work Engagement………………………………………………………………………...….6 5.1.1 Application to Case 6 5.2 Emotional Intelligence……………………………………………………………………….7 5.2.1 Application to Case 7 6.0 Ineffective Design of Reward System 8 6.1 Reward System in Today’s Context 8 6.2 Ineffective Reward system 8 6.2.1 Application to Case 9 7.0 Recommendations 9 8.0 Conclusions 10 9.0 References 12 10.0 Appendices 17 10.1 Appendix 1: SWOT Analysis 17 10.2 Appendix 2: Add-on Effect of Transformational Leadership 18 10.3 Appendix 3: Organisation’s Life Cycle and its Leadership Requirements………………….19 1.0 Executive Summary InsureCo has met with several consequences that have adversely affected the company’s overall productivity, turnover rate, compensations costs and workplace engagement. It is imperative for the executives to understand the underlying causes behind these detriments to better the prospects of this company. If these...
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...These services are including Consulting of IT, Development of Applications, Integrations of systems, Outsourcing management, testing, storing. It also further performing business such as Business Intelligence, Security applications, Modernization of Legacy and Data Migrations. At present company’s employee strength is over 3500 peoples from different nationalities and it operating across the US, Canada, UK, Europe, Asia Pacifica and Middle East. Thus, Mastek operating eight of world class global delivery center in India and Malaysia. A person who took the cultural experience in this organization is working as a software engineer, who transferred from India Mastek to its UK branch. Nature of the Business Mastek (UK) Using an established framework, Mastek has over two decades of proven experience in the development and maintenance of large enterprise data warehousing and business intelligence decision support systems. Mastek's data warehousing and business intelligence solutions can help drive a lower total cost of ownership for your enterprise and are backed up by delivery models with stringent quality processes to reduce the risk and improve ROI. Mastek has unique solutions that not only monitor and display information but also supply the right information at the right time to support decision-making during real-time operations. Our understanding of data warehousing and business...
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...Business Intelligence in Banking Table of Contents: Introduction…………………………………………………………………………………3 BI Application in an Enterprise……………………………………………………………..3 BI in Banking………………………………………………………………………………..4 Customer Relationship Management………………………………………………………..6 Operational BI……………………………………………………………………………….7 Conclusion……………………………………………………………………………………10 References…………………………………………………………………………………….11 Current Trends in Business Intelligence Banking Introduction Business Intelligence is a computer based technique used in detecting, digging out and analyzing business data such as sales revenue. It analyses the data based on departments or products or by associated costs or income. Business Intelligence is asset of methodologies or technologies used to transfer raw data into useful and meaningful data. It also uses technologies such as Data Integration, Data Quality, Data Warehousing, Master Data Management, Context analytics etc. Business Intelligence provides a complete view of past, present and futuristic views of business operations. Business Intelligence helps in making better decisions. So it is called Decision Support System. Business Intelligence uses applications processes and technologies to analyze data. Business Intelligence helps in analyzing data and is used to convert raw data to useful data. Some common functions of Business Intelligence are data mining, data visualization, data interpretation and data management. Business Intelligence is an advanced technology...
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...Information networks and business intelligence: decision locus and political hotbed By: Julie Stephens Case, Module 2 ITM 501: Mgt. Info. Syst. And Bus. Strategy Trident University Dr. James Marion, Core Professor October 25, 2011 To have a successful organization in today’s economy; employees must be given the tools needed to keep up with the changing market. Many top executives have made tough decisions and have made good decisions and poor decisions along the way regarding Business Intelligence. Business Intelligence (BI) is a term that refers to a variety of software applications used to analyze an organization’s data. It is a discipline made up of several activities, including data mining, analytical processing, query and report writing. This paper will discuss two Business Intelligence case studies and lessons learned from the studies regarding creating, implementing, and using business intelligence. LESSONS LEARNED Reviewing Marshfield Clinic’s early investment in an electronic patient records system is a concern. Although many clinics are turning to electronic patient records now, an early investment may mean that the system they elected to implement is not capable with newer technologies that management may want to incorporate in the future. Not anticipating changes and making preparations for it could cause issues later. Because this system has been utilized by the clinic for a period of time, did they take into consideration...
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...Communications of the Association for Information Systems (Volume13, 2004) 177-195 177 Business Intelligence by S. Negash BUSINESS INTELLIGENCE Solomon Negash Computer Science and Information Systems Department Kennesaw State University snegash@kennesaw.edu ABSTRACT Business intelligence systems combine operational data with analytical tools to present complex and competitive information to planners and decision makers. The objective is to improve the timeliness and quality of inputs to the decision process. Business Intelligence is used to understand the capabilities available in the firm; the state of the art, trends, and future directions in the markets, the technologies, and the regulatory environment in which the firm competes; and the actions of competitors and the implications of these actions. The emergence of the data warehouse as a repository, advances in data cleansing, increased capabilities of hardware and software, and the emergence of the web architecture all combine to create a richer business intelligence environment than was available previously. Although business intelligence systems are widely used in industry, research about them is limited. This paper, in addition to being a tutorial, proposes a BI framework and potential research topics. The framework highlights the importance of unstructured data and discusses the need to develop BI tools for its acquisition, integration, cleanup, search, analysis, and delivery. In addition, this paper...
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