...Information Analysis and Data Management Trends in Information Analysis and Data Management Over the last decade, advancements in digital technology have enabled companies to collect huge amounts of new information. This data is so large in scope, it has traditionally been difficult to process and analyze this information using standard database management systems such as SQL. The commoditization of computer technology has created a new paradigm in which data can be analyzed more efficiently and effectively than ever before. This report analyzes the some of the most important changes that are currently taking place within this new paradigm. The first part of this report covers trends in database analysis by analyzing the field of data mining. The report covers the topic of data mining by providing an explanation of it, and then by providing examples of real-world examples of data mining technology. Benefits and challenges of data mining are then provided. The second part of the report outlines an even more recent trend in data science, which is the increasing usage of noSQL databases to analyze “big data,” also referred to web-scale datasets. The most recent and major technological developments in the industry are then provided and described. Data Mining Background & Definition Data mining involves the process of discovering and extracting new knowledge from the analysis of large data sets. This is most often done through the use of data mining software, which identifies...
Words: 2546 - Pages: 11
...CONTENT 1. INTRODUCTION 3 2. BODY A. Data management and Analysis tools 4 B. Business Intelligence and Key performance indicators 7 C. Dashboards in the information age 9 D. Dashboards for disaster preparation 10 E. Dashboard Failures 11 3. CONCLUSION 12 4. REFERENCES 14 1. INTRODUCTION We are awash in data and as a result almost every organization is scrambling for metrics, key performance indicators (KPIs), scorecards, and increasing useable information to coordination complex digital enterprises, making the creation of intelligent dashboards all that much more critical. We rely primarily on quantitative data to measure the health of our organizations, identify opportunities, and to plan and anticipate the future. Despite having made great progress in the ability to gather and warehouse data, continuously analyzing, interpreting, and reviewing reports is both labor intensive and often does not communicate the numbers and information effectively. Contrary to popular myth, information cannot always speak for itself. Most organizations today spend millions of dollars to build the most robust and pristine data warehouses in the world, running on the most powerful hardware and accessed by state-of-the-art Business Intelligence software for operations. The real leap forward is allowing business systems to inform business people to make use and practical sense of ‘information’ and present it clearly to facilitate...
Words: 3195 - Pages: 13
...in eBusiness 6 eBusiness Strategies 11 Conclusion 14 Recommendations 14 Refrences 14 Bibliography 14 Methodology Brief * Research the development of eBusiness to include emerging eBusiness technologies and applications. * Appraise the main eBusiness strategies and technologies in current use to include business to consumer, business to business and business to government markets. * Utilise a range of current eBusiness terms within the context of providing eBusiness solutions. Objectives * To define the terms eBusiness and eCommerce. * To talk about eBusiness types 1. Bricks and Clicks 2. Pureplay 3. Brick and Mortar * To discuss different eCommerce modules: 1. Business to Consumer 2. Business to Business 3. Business to Government * To investigate current developments of eBusiness including: 1. Web1,2,3 2. Mobile Technology 3. Social Media 4. Big Data, Data Mining, Data Warehousing, Data Analytics Research Design Scope and Limitations Action Plan Introduction This assignment is a report to gather information about eBusiness, eCommerce, current developments in the area and different types of Strategies in use. It is very popular nowadays to use the new technologies, particularly internet business. eBusiness is an administrative work of business which is processed using technology. These business processes include buying and selling products, supplies and services. It...
Words: 6150 - Pages: 25
...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 Introduction...
Words: 16335 - Pages: 66
...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 health data can be downloaded by hospital staff from a wide variety of systems to develop a patient profile that includes past illnesses, chronic conditions, allergies, blood and tissue typing. With this information as well as a constant stream of vital sign data fed directly by paramedics en route to the hospital, receiving doctors can make better...
Words: 5967 - Pages: 24
...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...
Words: 16335 - Pages: 66
...Business Intelligence Applications Paul Villela CSCI 4304:Database Systems Dr. Carolyn W. Green 2 December 2014 Business Intelligence Applications On the May 4th, 2014 episode of Mad Men (appropriately entitled “The Monolith”, a clever nod to the iconic black monolith which provides the impetus for the evolutionary leap from beast to man in Arthur C Clarke’s novel “2001: A Space Odyssey”) Sterling Cooper & Partners, the fictional ad agency around which the show revolves, purchases and installs a brand new IBM 360 computer. While the vast majority of the office greets the massive, expensive machine with much apprehension (“What man lay on his back counting stars and thought about a number?” asks Don Draper, head of the Creative Department (played by John Hamm)) (Stevenson, 2014), Senior Partner and visionary Jim Cutler (played by Harry Hamlin) understands the power and potential of just such a machine, particularly in the field of advertising. Sterling Cooper & Partners gain an edge that their competition would not have for several more years, as well as a service they can offer their customers, one many of whom would not provide for themselves for even longer. What Jim Cutler was envisioning was a strategic idea currently referred to as Business Intelligence. A Brief History of Business Intelligence The concept of Business Intelligence (BI) began as a direct descendent of an information system called the Decision Support System (DSS), a system used for complex...
Words: 2993 - Pages: 12
........................................ 3 2.1 -‐ Business Intelligence -‐ Overview ............................................................................................... 3 2.2 -‐ Business Intelligence Tools ........................................................................................................ 4 2.2.1 -‐ On-‐line Analytical Processing .............................................................................................. 4 2.2.2 -‐ Data Mining ........................................................................................................................ 5 2.2.3 – Dashboards ........................................................................................................................ 6 2.2.4 -‐ Data Visualisation ............................................................................................................... 6 3 -‐ Role of Business...
Words: 4854 - Pages: 20
... INTRODUCTION 1.1 BACKGROUND OF INDUSTRIAL TRAINING All final year students of Bachelor of Sciences (Hons) (Statistics), Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (UiTM) are required to undergo the industrial training. The students will be placed in the government or private organizations of their choice for a period of three months, during which they are also required to design a research project. The following one month will be allocated for data analysis, report writing and oral presentation. This training is very beneficial and important to expose students to the various aspects of industrial practices and ethics. The students are also able to apply the theories and knowledge that they have learned to the projects assigned to them. 1.2 OBJECTIVES OF INDUSTRIAL TRAINING The objectives of the industrial training are: ❖ To expose students to the real working environment ❖ To train students being familiar with the organization structure, operations, and administration. ❖ To acquire real experience in solving research problems and apply appropriate statistical data analysis. ❖ To enable students to integrate the theory learned at UiTM with practice. ❖ To cultivate cooperative networking between industries and UiTM 1.3 INDUSTRIAL TRAINING ATTACHMENT I had undergone my industrial training at Socio Economic and Environmental Research Institute (SERI) at Penang from...
Words: 10336 - Pages: 42
...PROFILE All in-text references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately. SEE PROFILE Available from: Zheng Yan Retrieved on: 12 April 2016 This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier’s archiving and manuscript policies are encouraged to visit: http://www.elsevier.com/authorsrights Author's personal copy Journal of Network and Computer Applications 42 (2014) 120–134 Contents lists available at ScienceDirect Journal of Network and Computer Applications journal homepage: www.elsevier.com/locate/jnca A survey on trust management for Internet of Things Zheng Yan a,b,n,1, Peng Zhang c, Athanasios V. Vasilakos d a The State Key Laboratory of ISN, Xidian University, PO Box 119, No. 2...
Words: 18072 - Pages: 73
...level. New technologies need to dynamically assess networks real-time such as with the use of Remote Agents and Real-time forensic analysis. These technologies also need to make the attack space less predictable and constantly evolving such as through the use of moving target defense. Emerging Cybersecurity Technologies The E-government Act of 2000 was signed by President Bush to move toward a more 24-7 government. The dream was to eliminate the need to have to stand in line at the DMV for half a day just to pay annual vehicle registration fees (Barker, 2011). Security was certainly a concern, but it was not at the forefront of the move as government agencies would go through massive changes in equipment, manning, and practices in order to move information and programs online. Now, over a decade later we still see moves and changes taking place, such as the department of Veterans Affairs recently moving all of their applications, forms and records online. The expensive cost of getting the government caught up was expected with such an overhaul in the system; however, the U.S. should have spent more on cybersecurity and had to learn this lesson the hard way. The recent breaches by Anonymous into the FBIs and Department of Homeland Security’s systems were disappointing as these were the two government agencies tasked with taking on cybercrime (Novasti, 2012). How does the government expect to control the protection of SCADA...
Words: 2624 - Pages: 11
...BUSINESS CASE: ESTABLISHMENT and OPERATION of the FIRST RATING AGENCY in UGANDA by XYZ RATING AGENCY AND CONSULTANCY | A. | TABLE OF CONTENTS | | | | | | S/NO. | | DESCRIPTION | PAGE | | | | | 1.0 | | BUSINESS PROFILE | 2 | | 1.1 | Business Concept | 2 | | 1.2 | The Company | 3 | | 1.3 | Mission | 4 | | 1.4 | Keys to Success | 4 | | 1.5 | Rationale | 4 | | 1.6 | Position for Growth | 5 | | | | | 2.0 | | SERVICE DESCRIPTION | 7 | | 2.1 | Company Performance Rating Services | 7 | | 2.2 | Online Business Information | 9 | | 2.3 | Business Management Consulting | 9 | | | | | 3.0 | | MARKET ANALYSIS | 13 | | 3.1 | Business Services Sector | 13 | | 3.2 | Strengths | 13 | | 3.3 | Vulnerabilities | 14 | | 3.4 | Unexploited Opportunities | 15 | | 3.5 | Marketing | 15 | | | | | 4.0 | | MANAGEMENT & ORGANIZATIONAL STRUCTURE | 16 | | 4.1 | Organizational Structure | 16 | | 4.2 | Significance of the Structure | 17 | | | | | 5.0 | | INDUSTRY SOLUTIONS | 18 | 6.0 | | FINANCIAL ASPECTS | 19 | | 6.1 | Start-Up | 19 | | 6.2 | Income Streams | 19 | | | | | | | APPENDIX I: TARGET INDUSTRY SEGMENTS | 21 | 1.0 BUSINESS PROFILE 1.1 Business Concept XYZ Rating Agency and Consultancy is a start-up company performance rating agency and consulting firm that aims at playing a central and critical role in collecting and analyzing a variety of financial, operational, industry and market information...
Words: 7281 - Pages: 30
...4. 4.1 Big Data Introduction In 2004, Wal-Mart claimed to have the largest data warehouse with 500 terabytes storage (equivalent to 50 printed collections of the US Library of Congress). In 2009, eBay storage amounted to eight petabytes (think of 104 years of HD-TV video). Two years later, the Yahoo warehouse totalled 170 petabytes1 (8.5 times of all hard disk drives created in 1995)2. Since the rise of digitisation, enterprises from various verticals have amassed burgeoning amounts of digital data, capturing trillions of bytes of information about their customers, suppliers and operations. Data volume is also growing exponentially due to the explosion of machine-generated data (data records, web-log files, sensor data) and from growing human engagement within the social networks. The growth of data will never stop. According to the 2011 IDC Digital Universe Study, 130 exabytes of data were created and stored in 2005. The amount grew to 1,227 exabytes in 2010 and is projected to grow at 45.2% to 7,910 exabytes in 2015.3 The growth of data constitutes the “Big Data” phenomenon – a technological phenomenon brought about by the rapid rate of data growth and parallel advancements in technology that have given rise to an ecosystem of software and hardware products that are enabling users to analyse this data to produce new and more granular levels of insight. Figure 1: A decade of Digital Universe Growth: Storage in Exabytes Error! Reference source not found.3 1 ...
Words: 22222 - Pages: 89
...www.pwc.co.uk The direct economic impact of gold October 2013 www.pwc.co.uk The work carried out by PricewaterhouseCoopers LLP ("PwC") in relation to this report has been carried out only for the World Gold Council and solely for the purpose and on the terms agreed between PwC and the World Gold Council. The report does not constitute professional advice. No representation or warranty (express or implied) is given as to the accuracy or completeness of the information contained in this report and, to the extent permitted by law, PricewaterhouseCoopers LLP, its members, employees and agents do not accept or assume any liability, responsibility or duty of care for any consequences to anyone acting, or refraining to act, in reliance on the information contained in this report or for any decision based on it. © 2013 PricewaterhouseCoopers LLP. All rights reserved. In this document, "PwC" refers to PricewaterhouseCoopers LLP (a limited liability partnership in the United Kingdom), which is a member firm of PricewaterhouseCoopers International Limited, each member firm of which is a separate legal entity. The direct economic impact of gold Contents Foreword ........................................................................................................................................................................1 Executive summary ...........................................................................................................................................
Words: 25301 - Pages: 102
...“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 to look up the books first, underline terms that are unfamiliar to the reviewer and look them up in books or other resources accessible through the Internet. Sources of data are books, articles in journals, white papers and websites. The review concludes with the student’s conceptualization of business intelligence. Review of Literature Definitions There are many...
Words: 7412 - Pages: 30
