...of research material in support of the final dissertation. The annotated bibliographic reviews contained within this paper will work to provide information that will support my future research and provide experience in garnering and explaining the salient tenants of research material. NOTE: This paper will not include proper APA formatting as citations have been bolded to ensure the professor can discern where citations begin and end. Curtis, S. K. (2012). Commitment to cybersecurity and information technology governance: A case study and leadership model. (Doctoral dissertation). Retrieved from the ProQuest dissertation and thesis database. (UMI No. 3569139) The problem as described by the author in this quantitative study is senior managers are not using web analytic technology (WAT) and there is a lack of literature describing why this is the case. The purpose of this study is to “examine how management consultants perceive WAT” (p. 22). This study has seven hypotheses. Unified theory of acceptance use of technology (UTAUT) is the conceptual framework utilized by the author. The author utilized UTAUT with independent variables of social norm, performance expectancy and effort expectancy, facilitating condition and management consultants’ behavioral intention to accept WAT and the moderators of gender, age and experience to capture behaviors related to the intention to use information technology. There...
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...new Custom Social . This platform provides a new level of insight for how social media is impacting your business. It provides metrics beyond those available anywhere, like fans and followers, and gives decision making metrics like how many site visits your social media activities generated and how many of your social media contacts converted on your site. Combining this data with basic executive measurement philosophies will provide concrete reports on what is and what isn’t delivering in your social strategy. The following pages outline some core measurement strategies that will transform your conversation about social media measurement. Customize. Automate. Simplify. Get a better view of your social campaigns with new, more powerful analytics tools, more ways to measure, and customizable...
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...Data Mining for Predictive Analytics Stanley Kenton Marks December 11th, 2012 Abstract Simply collecting data for research is nearly a faux pas in today’s competitive web-market. Analysts are now looking toward the predictive analytics of association discovery in web and data mining, to find Business Intelligence of clustering sub=populations while eliminating errors to keep collected data valid. In the midst this data crunch are fears of lost privacy. Do not fear. Creative innovations are bringing mash-ups to our diversity. Data Analytics Report Useful information, knowledge and finding some unexpected results can “strike it rich” with added creative thinking. Data mining supplies analysts, investors, and traders with customers buying patterns, historical trading rules, even fraudulent behavior for insurance claims. Predictive analytics is used in web mining by analyzing user’s movements from one web content to another. Collecting the data of where a user browses and the content they are seeking can become knowledge if the analyst understands the patterns (Turban & Volonino, 2011). An Association Discovery Algorithm is a tool of data mining where new rules are discovered such that if one item is present then another will also be found. This type of knowledge benefits analyst’s predictability of future probabilities and is very useful to the marketing department, (Ranjan, 2008). A traditional example you...
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...buying and selling products (DataStax, 2014). eBay is an American multinational e-commerce company headquartered in San Jose, California and it was founded by Pierre Omidyar in 1995. The e-commerce giant has operations in over 30 countries, with over 100 million registered users. The latest number of a sellers listed by eBay Inc. is above 1.5 million. From every day activity online portal stems a lot of data and eventually information (Ferguson, 2013). eBay seeks to achieve highest buying price for all the listed items, because it takes a commission from each sale. eBay’s principal architect Tom Fastener explained that company has acquired firms that were using the open-source Hadoop framework, which now allows eBay to perform advanced analytics on items that are available for sale (Passingham, 2013). Why did eBay pursue a big...
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...White Paper Delivering Actionable Customer Intelligence Synopsis Business intelligence and Analytics are playing an increasingly pivotal role in decision making, as organizations realize the true value of information and how it can affect the bottom line. The majority of successful organizations will employ business analysis staff to ensure that the data they get is properly interpreted to help support business-critical choices and strategies. By making use of the swathes of data available about any number of metrics within a company, clear and relevant insight into issues can be translated into more effective decisions and outcomes, based on verifiable knowledge. But these decisions often need to be taken quickly, across multiple departments and divisions, and this need for agility is only going to increase. Customers are only one half of the key to the survival and eventual prosperity of any business, and so it is to the data they provide which organizations must turn if they are to uncover the key themes which require immediate action. Genuinely actionable customer intelligence is the other side of the equation – information which metaphorically ‘gathers dust on a shelf’ is completely pointless. Gathering data must be done in conjunction with a proper strategy for analysis in mind, otherwise it simply becomes a number-gathering exercise in futility. In this paper, we look at the opportunities and limitations offered by current models of data analysis, and how adopting...
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...AND ANALYTICS: FROM BIG DATA TO BIG IMPACT Hsinchun Chen Eller College of Management, University of Arizona, Tucson, AZ 85721 U.S.A. {hchen@eller.arizona.edu} Roger H. L. Chiang Carl H. Lindner College of Business, University of Cincinnati, Cincinnati, OH 45221-0211 U.S.A. {chianghl@ucmail.uc.edu} Veda C. Storey J. Mack Robinson College of Business, Georgia State University, Atlanta, GA 30302-4015 U.S.A. {vstorey@gsu.edu} Business intelligence and analytics (BI&A) has emerged as an important area of study for both practitioners and researchers, reflecting the magnitude and impact of data-related problems to be solved in contemporary business organizations. This introduction to the MIS Quarterly Special Issue on Business Intelligence Research first provides a framework that identifies the evolution, applications, and emerging research areas of BI&A. BI&A 1.0, BI&A 2.0, and BI&A 3.0 are defined and described in terms of their key characteristics and capabilities. Current research in BI&A is analyzed and challenges and opportunities associated with BI&A research and education are identified. We also report a bibliometric study of critical BI&A publications, researchers, and research topics based on more than a decade of related academic and industry publications. Finally, the six articles that comprise this special issue are introduced and characterized in terms of the proposed BI&A research framework. Keywords: Business intelligence and analytics, big data analytics, Web 2.0...
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...predictive analytics and data mining can make marketing more efficient. There are many techniques and methods, including business intelligence data collection. Predictive analytics is using business intelligence data for forecasting and modeling. It is a way to use predictive analysis data to predict future patterns. It is used widely in the insurance, medical and credit industries. Assessment of credit, and assignment of a credit score is probably the most widely known use of predictive analytics. Using events of the past, managers are able to estimate the likelihood of future events. Data mining aids predictive analysis by providing a record of the past that can be analyzed and used to predict which customers are most likely to renew, purchase, or purchase related products and services. Business intelligence data mining is important to your marketing campaigns. Proper data mining algorithms and predictive modeling can narrow your target audience and allow you to tailor your ads to each online customer as he or she navigates your site. Your marketing team will have the opportunity to develop multiple advertisements based on the past clicks of your visitors. Predictive analytics can aid in choosing marketing methods, and marketing more efficiently. By only targeting customers who are likely to respond positively, and targeting them with a combination of goods and services they are likely to enjoy, marketing methods become more efficient. In the best cases, predictive analytics can reduce...
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...AND ANALYTICS: FROM BIG DATA TO BIG IMPACT Hsinchun Chen Eller College of Management, University of Arizona, Tucson, AZ 85721 U.S.A. {hchen@eller.arizona.edu} Roger H. L. Chiang Carl H. Lindner College of Business, University of Cincinnati, Cincinnati, OH 45221-0211 U.S.A. {chianghl@ucmail.uc.edu} Veda C. Storey J. Mack Robinson College of Business, Georgia State University, Atlanta, GA 30302-4015 U.S.A. {vstorey@gsu.edu} Business intelligence and analytics (BI&A) has emerged as an important area of study for both practitioners and researchers, reflecting the magnitude and impact of data-related problems to be solved in contemporary business organizations. This introduction to the MIS Quarterly Special Issue on Business Intelligence Research first provides a framework that identifies the evolution, applications, and emerging research areas of BI&A. BI&A 1.0, BI&A 2.0, and BI&A 3.0 are defined and described in terms of their key characteristics and capabilities. Current research in BI&A is analyzed and challenges and opportunities associated with BI&A research and education are identified. We also report a bibliometric study of critical BI&A publications, researchers, and research topics based on more than a decade of related academic and industry publications. Finally, the six articles that comprise this special issue are introduced and characterized in terms of the proposed BI&A research framework. Keywords: Business intelligence and analytics, big...
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...Chapter 12 Enhancing Decision Making Case 2: IBM and Cognos: Business Intelligence and Analytics for Improved Decision Making Tags: business decision making; business intelligence software; decision support systems; management reporting systems; executive dashboards; mobile delivery platforms. Summary In this video from the National Association of Broadcasters (NAB), Dan Fulwiler and Steve Segalewitz from IBM, discuss how understanding your online data more clearly can improve decision-making. Video demonstration of IBM/Cognos BI software applications. In the accelerating media industry, discovering relevant business insights within the chaos of available information can lead to substantial competitive advantage. IBM Business Intelligence and Analytics is designed to integrate all data providers and in-house sources to reveal timely and actionable business insights. The software collects, connects and leverages information from consumers to suppliers. L= 5:06 URL: http://www.youtube.com/watch?v=NI59ZgyQqBc Case IBM has been known for most of its recent history as the world's largest computer company. With over 388,000 employees worldwide, IBM is the largest and most profitable information technology employer in the world. It is still selling computers today, and is still one of the biggest computer companies in the world, and it has also been known to produce very efficient computers as well. IBM holds more patents than any other U.S. based technology company...
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...Business AnAlytics And intelligence Course Starting: 29 June 2014 Application Deadline: Early Decision 28 February 2014 Regular Decision 15 April 2014 (Batch 5) (Classes conducted on-campus as well as off-campus) Certificate Programme on Business Analytics and Intelligence BATCH 5 in god We trust, All Others Must Bring data - W edwards deming he theory of bounded rationality proposed by nobel laureate Herbert Simon is evermore significant today with increasing complexity of the business problems; limited ability of human mind to analyze alternative solutions and the limited time available for decision making. introduction of enterprise resource planning (eRP) systems has ensured availability of data in many organizations; however, traditional eRP systems lacked data analysis capabilities that can assist the management in decision making. Business Analytics is a set of techniques and processes that can be used to analyse data to improve business performance through fact-based decision making. Business Analytics is the subset of Business intelligence, which creates capabilities for companies to compete in the market effectively. Business Analytics is likely to become one of the main functional areas in most companies. Analytics companies develop the ability to support their decisions through analytic reasoning using a variety of statistical and mathematical techniques. thomas devonport in his book titled, “competing on analytics: the new science of winning”, claims...
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...ive Analytics World for Manufacturing – June 17 & 18, 2014 Venue: McCormick Place Speaker proposal deadline: November 1, 2013 Speakers will be notified by: December 31, 2013 If you would like to receive PAW call-for-speakers announcements and notifications as they arise for future PAW events, please provide your email address here: Sign up for call-for-speaker notifications Email Address: All speakers: Please read this call for speakers in its entirety before proceeding to the speaker proposal form (below). Software vendors: If you are a software vendor, read this restriction on speaking. Join Predictive Analytics World (PAW) for Manufacturing to share how predictive analytics delivers a business impact for your organization. PAW Manufacturing is the only conference of its kind, with sessions and content reaching: Across business applications - For what purpose is predictive analytics deployed? Across vendors of solutions and software - How is predictive analytics deployed? Dedicated to the Manufacturing Industry Please read more about the scope, objective and target audience of this conference on the about, FAQ and attendee demograpics pages. Present Your Case Studies PAW Manufacturing provides speakers the opportunity to present predictive analytics case studies, deployment successes and lessons learned. At this event, potential consumers of predictive analytics witness proof demonstrating it's more than just a bunch of great ideas - predictive...
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...IBM Global Center for Smarter Analytics Fundamentals of Business Analytics Case Study IBM Global Center for Smarter Analytics ________________________________________________________________________________ Licensed Materials - Property of IBM © Copyright IBM Corporation 2013 Published May 2013 IBM, the IBM logo and ibm.com are trademarks of International Business Machines Corp., registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. This case study set contains proprietary information which is protected by copyright. No part of this document may be modified without a legal license agreement from IBM Corporation. Any references in this information to non-IBM Web sites are provided for convenience only and do not in any manner serve as an endorsement of those Web sites. The materials at those Web sites are not part of the materials for this IBM product and use of those Web sites is at your own risk. 2 IBM Global Center for Smarter Analytics Case Analysis 1: Cincinnati Zoo Business Objectives • • • IBM Global Center for Smarter Analytics Company Company Background The Cincinnati Zoo & Botanical Garden is one of the most popular attractions and a Top Zoo for Children according to Parent’s Magazine. Each year, more than 1.3 million people visit its 71-acre site, which is home to more than 500 animal and 3,000 plant species. Although the Zoo is a non-profit organization...
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...Take-off of online marketing: casting the next generation strategies Amalesh Sharma Amalesh Sharma is a Teaching Associate based at the Indian School of Business, Hyderabad, India. Introduction The purpose of the old module of marketing was to dictate a message to the mass market. With changes in time, requirements, technology and expectations of the customers, the field of marketing itself has experienced significant changes. It is noteworthy to mention that marketing dynamics shifted from ‘‘farm centric’’ to ‘‘consumer centric’’ perspectives. With evolution in the market dynamics, it is becoming a difficult issue to choose the correct channel to reach the consumer within a specific target group. The ‘‘dotcom era’’ in the history of marketing will probably be remembered exclusively for its contribution towards innovation based marketing. The development of internet technology has impacted us by changing our behavior, decision making process, relation with one another and the way of doing business. The internet has decreased the distance between places, crossing geographical borders and allowing us to build and bring all the necessary things we require, and discarding all the old communication techniques. Highly intense information based market is forcing marketers to look at the world with new perspectives at the new opportunities. Diverse culture, social restrictions are no longer able to hinder the information flow. At this transitional phase as the world is moving towards...
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...Article Raghupathi and Raghupathi, J Health Med Informat 2013, 4:3 http://dx.doi.org/10.4172/2157-7420.1000132 Open Access An Overview of Health Analytics Wullianallur Raghupathi1* and Viju Raghupathi2 1 2 Graduate School of Business, Fordham University, New York, NY, USA Finance and business management, Brooklyn College, City University of New York, Brooklyn, NY, USA Abstract Objectives: We examine the emerging health analytics field by describing the different health analytics and providing examples of various applications. Methods: The paper discusses different definitions of health analytics, describes the four stages of health analytics, its architectural framework, development methodology, and examples in public health. Results: The paper provides a broad overview of health analytics for researchers and practitioners. Conclusions: Health analytics is rapidly emerging as a key and distinct application of health information technology. The key objective of health analytics is to gain insight for making informed healthcare decisions. Keywords: Data warehousing; ETL; Descriptive analytics; Discovery Introduction analytics; Health analytics; Informed decision; Insight; Predictive analytics; Prescriptive analytics management, and preventive care. In one scenario, for example, the use of health analytics technologies can ensure that emergency room doctors are briefed and ready to treat patients prior to their arrival by ambulance. Diagnostic and current...
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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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