Effects Of Caffeine On Elite Athletes Essay - 1516 Words

This study focuses on the effects of ingested caffeinated energy drink compared to placebo in three different sports, rugby, soccer, and volleyball. Each sport had a dissimilar number of participants, including male and female. The effects were analyzed under different circumstances in each sport performed. A few materials were used during the activities to monitor precisely the changes in all participants’ bodies. This study illustrates significant positive changes and improvement in all participants’ performances when they ingested a caffeinated energy drink. Keywords: caffeine, placebo, double-blind, cardiopulmonary, sprint, match Effects of Caffeine on Elite Athletes: Team Sport Introduction This study targets the physical effect of caffeinated energy drinks on athletes, in both genders, in team sports, primarily the capacity of the participants to perform repeated sprints during a simulated match. Caffeine is a natural central nervous system stimulant. It is considered a drug that if is overly consumed can be dangerous for one’s body. Caffeine is a temporary energy booster that improves mood and alertness for most people, mainly athletes. It can be an eye-opener in the morning, could be drunk or eaten on practice brakes, and for some, it just became a habit that they cannot go through a day without a cup of coffee before exiting their doorways. Furthermore, it requires good health and stamina for athletes to perform throughout the game, particularly the one in teams,Show MoreRelatedCritique of an article from the Journal of Applied Physiology1124 Words   |  5 PagesPhysiology Effect of different protocols of caffeine intake on metabolism and endurance performance Introduction In 2002, a group of Australian researchers published a paper entitled the Effect of different protocols of caffeine intake on metabolism and endurance performance. Caffeine use during sporting events has become much more popular and has widely studied. The purpose of the research was to examine the work increasing (ergogenic) effects of differing regiments of caffeine on metabolismRead MoreErgogenic Aids in Sports Essay1288 Words   |  6 Pagesproduction, or recovery giving the athlete an advantage in competition. Not all ergogenic aids are illegal; many such as dietary supplements, vitamin supplements, or protein supplements are widely used and accepted, however, many are illegal and are banned by many athletic committees(Ahrendt,1). I will be discussing these illegal aids and the affect they have on the athlete and the athletic community. Some of the more commonly used illegal aids include blood doping, caffeine, corticosteroids, diureticsRead MoreThe Use of Ergogenic Compound s to Improve Athletic Performance1609 Words   |  7 Pages An Ergogenic aid is known as an enhancing quality in sporting performance. Compounds such as bee pollen, caffeine, glycine, carnitine, lecithin, and gelatin are claimed through anecdotal evidence to improve strength or endurance. The use of drugs and other substances has persisted for nearly a century. Ergogenic aids are used to improve an athlete’sRead MoreEssay On Caffeine1454 Words   |  6 Pagesanxiety issues could make that problem for them worse. It is advised if the person does have this issue to use caffeine very carefully. There are many diseases that could possible get worse with the use of caffeine. Bipolar, Bleeding disorders, heart conditions, diabetes, diarrhea, epilepsy, glaucoma, osteoporosis, these are all diseases that could possibly be worsened by the use of caffeine or products with. In young adults drinking 4 or more cups of coffee significantly could risk heart attack andRead MoreThe Modern Supplement Market Has Many Characteristics That Leave Room For Improvement Essay1594 Words   |  7 Pagesquality, and user base. Often times the users of supplements will lack sufficient knowledge to make personal supplement choices. Navigating the increasing number of supplement brands and commercial strategies can prove difficult, even to athletes. Athletes in elite levels of their sport, who have more readily available access to supplemental guidance, will still often times make supplement decisions based on marketing or word of mouth. This does not necessarily bode well for the average person lookingRead MoreEffects Of Caffeine On The Body Metabolism2013 Words   |  9 PagesCaffeine is one of the most prevalent drugs consumed around the world, and is frequently used by athletes in efforts to enhance their performance. It is defined by the Medical Dictionary as â€Å"A bitter white alkaloid, C8H10N4O2 that stimulates the central nervous system and body metabolism† (2010). Some believe that increasing their caffeine intake will then improve their energy and endurance levels during long-term sporting events such as running, biking, or swimming. Caffeine is found in an assortmentRead MoreElite Athletes and Performance Enhancing Drugs1817 Words   |  7 PagesElite Athletes: An Asset or Liability to Sports? Many elite athletes are under great pressure to perform exceptionally well they often times resort to using performance-enhancing drugs to stay competitive. The path to success as an athlete is not an easy track; it is fierce! The fame and the fortune one can attain from being an athlete is only unimaginable to some; it is something worth going the extra mile to reach, for some, there is no limit to the extra mile. After all, in today’s society theRead MoreThe Legalization Of Steroids Should Be Beneficial For The World Of Sport1226 Words   |  5 Pagesview for much of history. Steroids are drugs used by athletes to become stronger and achieve a strong physique. Steroids are illegal and are strongly discouraged to be used and may be seen first expressed during high school with the introduction of organized sport teams. The perspective against the legalization of steroids believes in the many benefits of legalization. The perspective for the legalization of steroid expresses the harmful effects of steroids. My view of the subject is that I am againstRead MoreThe Simple Science Behind The Diet Plan1620 Words   |  7 Pages Diet and exercise are about breaking our western habit of expecting immediate gratification. When I started out, I tried so many of the boosters, thermagins, blockers, and enhancers. I honestly have found only a few things that had any effect on me. Caffeine: if used in moderation, as a dietary supplement can accelerate weight loss. Beta-alanine: the limiting amino acid in carnosine synthesis, meaning that its presence in the bloodstream is directly tied to muscle carnosine levels. CreatineRead MoreFemale Athletes Essay1265 Words   |  6 PagesSports Medicine Female Athletes In this report I will be exploring two conditions and their implications on female athletes. The conditions I will be investigating in relation to female athletes are pregnancy and iron deficiency. Pregnancy Overview Pregnancy, also known as gestation, is the term used to describe the period in which a fetus develops inside a woman’s womb or uterus (Definition from - https://www.nichd.nih.gov/health/topics/pregnancy/conditioninfo/Pages/default.aspx). Pregnancy

Comparative Essay Between Hamlet and Brave New World

Ryan Kosmayer ENG-4U Ms. S Monday July 22, 2013 Brave New World and Hamlet Comparative Essay In the texts Brave New World and Hamlet, there are two entirely diverse stories that share similar protagonists. Despite being from completely different worlds, Hamlet and John share a lot of things in common. They both face severe alienation from their mothers and from people that attempt to use them. Coincidentally they also both use their friends as a relief to cope with their experiences. With the assistance of Horatio and Helmholtz the protagonists gain the courage to stand up to any adversity that comes at them. One of the most prominent similarities between the two is the alienation they felt from their mothers. Despite the love they†¦show more content†¦Once (when he was bigger) he tried to kill poor Waihusiwa [or Popà ©]†¦ just because [Linda] used to have them sometimes† (Huxley 105). Despite John’s aggression towards the men, he was truly enraged by his mother for being so unchaste. John demonstrates this near the end of the novel when he discov ers his mother in is the hospital. In her dying unconscious moments Linda comes to for a moment, but to John’s disappointment she says, â€Å"Popà ©! †¦ Oh, I do so like it, I do†¦Ã¢â‚¬  (Huxley 179). In a desperate attempt to regain her attention John screams â€Å"But, Linda! Don’t you know me? ... Don’t you know me Linda?† (Huxley 179-180). To which she replied, â€Å"Popà ©!† (Huxley 180). John was infuriated that his mother, in her dying moments, saw Popà © as her comforter—not her son. This reveals that John truly is alien among both of the societies. His mother has more compassion for another man, leaving John to feel alone. In addition to the pain Hamlet and John had endured because of their mothers, they both had to overcome the people who intended to use them. For Hamlet this meant suppressing information from the bothersome Rosencrantz and Guildenstern. Upon the king’s request these two friends of Hamlet are sent off in an attempt to relieve Hamlet’s sorrow. However Hamlet soon discovers that they have alternative motives. They are strictly set out to discover the cause for Hamlet’s depression and madness, and don’t even attempt to enlighten his spirits.Show MoreRelatedOrganisational Theory230255 Words   |  922 Pagesothers who should know better) to trivialize this very problematic and challenging subject. This is not the case with the present book. This is a book that deserves to achieve a wide readership. Professor Stephen Ackroyd, Lancaster University, UK This new textbook usefully situates organization theory within the scholarly debates on modernism and postmodernism, and provides an advanced introduction to the heterogeneous study of organizations, including chapters on phenomenology, critical theory and psychoanalysisRead MoreStephen P. Robbins Timothy A. Judge (2011) Organizational Behaviour 15th Edition New Jersey: Prentice Hall393164 Words   |  157 3 PagesOrganizational Behavior This page intentionally left blank Organizational Behavior EDITION 15 Stephen P. Robbins —San Diego State University Timothy A. Judge —University of Notre Dame i3iEi35Bj! Boston Columbus Indianapolis New York San Francisco Upper Saddle River Amsterdam Cape Town Dubai London Madrid Milan Munich Paris Montreal Toronto Delhi Mexico City Sao Paulo Sydney Hong Kong Seoul Singapore Taipei Tokyo Editorial Director: Sally Yagan Director of Editorial Services:Read MoreDeveloping Management Skills404131 Words   |  1617 Pagesorder to succeed. Visit www.mymanagementlab.com to learn more. DEVELOPING MANAGEMENT SKILLS EIGHTH EDITION David A. Whetten BRIGHAM YOUNG UNIVERSITY Kim S. Cameron UNIVERSITY OF MICHIGAN Prentice Hall Boston Columbus Indianapolis New York San Francisco Upper Saddle River Amsterdam Cape Town Dubai London Madrid Milan Munich Paris Montreal Toronto Delhi Mexico City Sao Paulo Sydney Hong Kong Seoul Singapore Taipei Tokyo Editorial Director: Sally Yagan Editor in Chief: Eric Svendsen

Business Intelligence Free Essays

Business Intelligence (BI) is a set of theories, methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information for business purposes. BI can handle large amounts of information to help identify and develop new opportunities. (https://enterprisetechnologyconsultant. We will write a custom essay sample on Business Intelligence or any similar topic only for you Order Now wordpress.com/2013/02/07/what-is-business-intelligence-bi/) Today, Business Intelligence is one of the most important issues in business firms such as business analysis because business intelligence plays an active role in companies’ decision making processes. Every day, in companies, from the smallest unit to the largest one, numerous decisions are made in each department. The fastest way to make these decisions is to increase the size of the company from day to day. In other words, most companies use Business Intelligence to access and reach the information necessary to increase their profits further and succeed in their strategies, to store that information, and to store and analyze the stored information.In the past years, companies have been decided on the data obtained by data mining, but technology is getting more and more day by day and the data that we have are continuing to increase. Social media is one of the biggest share of data increase and emerging technology. Every day, every second through channels in social media, people produce and share countless content, such as videos, pictures, music and short stories. ‘We are Social’ is a digital report about Internet use in the world for 2017 as it is every year. According to this report, in 2007, 3,773 billion people are using the internet all over the world. ( https://wearesocial.com/special-reports/digital-in-2017-global-overview) According to the research done, the worldwide data is increased by 50% every 3 years. Companies are having difficulty in preparing reports, processing and analyzing using raw data in such large data collection. In a fast-developing world, companies are demanding faster and more accurate decisions in a competitive environment, and to be able to adapt to change. Therefore, in order for the raw data to be useful information, there was a need for a method to adapt to new technologies and developments, with the exception of old methods, so that Business Intelligence emerged.With the increasing popularity of business intelligence, many professions have formed such as process analysis, process design, business management and data mining. These professions have differences according to the sectors, so the business intelligence system — must be prepared in a comprehensive and good way. In order to be able to prepare and apply in a good way;It is easy and fast to adapt according to the needs and each sector.It serves all departments in companies.Must have appropriate data models.Users should be able to report on their request at the appropriate time. Business Intelligence Applications Business intelligence applications include business analytics, reporting, querying, decision support systems, forecasting and olap. In a competitive environment, each sector adds value and gives advantages to the company.Independent research firm Gartner publishes a list of market assessments each year in order to answer the most common business intelligence application by making assessments based on various criteria in the field of business intelligence and divides the list into four main segments. According to this, the most common and market leader is business intelligence applications; According to Gartner, leading business intelligence platform providers include: IBM, Oracle, SAP, SAS, Microstrategy, QlikTech, Information Builders. (http://tr.intellium.com.tr/kurumsal-performans-yonetimi/is-zekasi-nedir-ne-ise-yarar-en-yaygin-is-zekasi-uygulamalari-nelerdir/)For business intelligence applications; Need is determined Analyze: First, the decision-making styles of the companies are analyzed. The information that allows them to make quick decisions should pay attention. Also, how to present the information, such as a definable table or report. Technical solutions and architectural designs are mad Data warehouse is designed and data is managed Analyzes are made on the data and the necessary reports are taken It builds infrastructure and performs studies for large data. Useful Info Conversion Process Data Data is raw data that can be quantified, classified and counted with the most general definition. In order for the information to be transformed into information, it is first collected and classified from media such as social media and newspapers. Once classified, the edited and processed data is transformed into useful information. For example, a list is created based on the employees’ surnames and is stored for later use. Information Transaction processing creates information. When information occurs, unnecessary information is set up. As a result of this arrangement unnecessary information is being taken, companies’ decision making processes progress more quickly. At the same time information is the answer to questions such as who, where, when, how, what, how many. Information has a much richer content. Besides, there are processes such as formatting and editing in the information, while the data has a scattered structure. For example, a table can be created that analyzes the list sorted by employees’ surnames and includes only the number of employees, genders, or ages. At this point, the average age of the employees of the company will be revealed, and here we will turn it into information. Knowledge Information wisely transformed with analysis, experimentation and interpretation. The concept of information is a more complex concept than data and informationKnowledge is information that is more specific, specialized, and interpreted than the information that comes from personal knowledge and experience with resources from information accumulation. (135) Knowledge must have a targeted, detailed and easily understandable format. How to answer the question. As a result, if it is desired that the information is useful, it must be communicated to the right person in the right place at the right time. If information is desired to be useful, that information must be related to the desired subject, correct, timely, incomplete, and accessible. Wisdom Wisdom is to act according to information and needs. Data, information and information are the results we have achieved at the end of the completed process. These results can be decided by making logical evaluations. It is the stage of discovering wisdom. How to cite Business Intelligence, Papers Business Intelligence Free Essays A Seminar Report on BUSINESS INTELLIGENCE Prepared by: Guided By: Arpan Solanki Prof. Yagnik A. Rathod 100410107063 Assistant professor TY C. We will write a custom essay sample on Business Intelligence or any similar topic only for you Order Now E SVIT-VASAD Certificate Date: /11/12 This is to certify that Mr. Arpan Solanki ID No: 10- CEG-66En No. 100410107063 of programme Computer Engineering [Third Year,5th Semester] has satisfactorily completed his term work in course Seminar [150705] for the term ending in November,2012. Staff in-charge: Head of Department: Mr Yagnik A. Rathod Mrs Bijal Talati Asst. Professor HOD Computer EngineeringComputer Engineering C. E. DepartmentC. E. Department SARDAR VALLABHBHAI PATEL INSTITUTE OF TECHNOLOGY VASAD-388306, GUJARAT–INDIA ACKNOWLEDGEMENT Every work owes its success to many people. Likewise, the successful completion of our Project Report could not have been possible without the co-ordination and support of our college SVIT. I am thankful to Mrs Bijal Talati (HOD of CE department) for his constant inspiration and valuable guidance which helped us to complete the Project satisfactorily. His inspirational remarks from time to time enabled us to complete the report in stipulated time period. He provides us needed help and facilities for carrying out test for our program. I am thankful to Mr Yagnik Rathod for constantly inspiring us and providing us required details and help on regular intervals, which helped us to reach our goal on time. I am also thankful to the whole Computer Department for their unbounded cooperation and support. ABSTRACT Business intelligence (BI) refers to computer-based techniques used in spotting, digging-out, and analyzing business data, such as sales revenue by products and/or departments, or by associated costs and incomes. BI technologies provide historical, current, and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, business performance management, benchmarking, text mining, and predictive analytics. Business intelligence aims to support better business decision-making. Thus a BI system can be called a decision support system (DSS). Though the term business intelligence is sometimes used as a synonym for competitive intelligence, because they both support decision making, BI uses technologies, processes, and applications to analyze mostly internal, structured data and business processes while competitive intelligence gathers, analyzes and disseminates information with a topical focus on company competitors. INDEX CONTENTS PAGE NO. 1. Defination†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 1 2. History†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ 2 3. Business Intelligence and Data Warehousing†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ 3 4. Business Intelligence Tools†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 4 Fig 4. Architecture Of BI†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â ‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ 5. Success Factor Of Implemention†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 6 5. 1 Business Sponsership†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 6 5. 2 Business Needs†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ 7 5. 3 Amount and Quality Of Availabel Data†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 7 6. User Aspect†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 7. Market Place†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 11 7. 1 Industry-Specific†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ 11 8. Semi-structured or Unstructured data†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 12 8. 1 Semi-structured vs Unstructured data†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 12 8. 2 Problems With Semi-structured or Unstructured data†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 13 8. The Use Of Matadata†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 14 9. Uses and Examples BI†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 15 9. 1 Which Type Of Company Use It?†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ 15 9. 2 Examples Of BI†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ †¦Ã¢â‚¬ ¦Ã¢â‚ ¬ ¦. 15 10. Benifits and Disadvantages†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ 16 10. Benifits†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 16 10. 2 Disadvantages†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 16 11. Future†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ 17 12. Conclusion †¦Ã¢â‚¬ ¦ †¦Ã ¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 19 References†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 0 1. DEFINATION Business intelligence (BI) is the ability of an organization to collect, maintain, and organize knowledge. This produces large amounts of information that can help develop new opportunities. Identifying these opportunities, and implementing an effective strategy, can provide a competitive market advantage and long-term stability. [ The goal of modern business intelligence deployments is to support better business decision-making. Thus a BI system can be called decesion support system(DSS). Though the term business intelligence is sometimes a synonym for competative intelegence(because they both support decision making), BI uses technologies, processes, and applications to analyze mostly internal, structured data and business processes while competitive intelligence gathers, analyzes and disseminates information with a topical focus on company competitors. If understood broadly, business intelligence can include the subset of competitive intelligence. BI is broad category of applications, which include the activities of †¢ decision support systems query and reporting †¢ online analytical processing (OLAP) †¢ statistical analysis, forecasting, and data mining. 2. HISTORY In a 1958 article, IBM researcher Hans peter luhn used the term business intelligence. He defined intelligence as: â€Å"the ability to apprehend the interrelationships of presented facts in such a way as to guide action towards a desired goal. † Business intelligence as it is under stood today is said to have evolved from the decision support systems that began in the 1960s and developed throughout the mid-1980s. DSS originated in the computer-aided models created to assist with decesion making and planning. From DSS, data warehouses, Executive information system, OLAP and business intelligence came into focus beginning in the late 80s. In 1989, Howard Dresner proposed â€Å"business intelligence† as an umbrella term to describe â€Å"concepts and methods to improve business decision making by using fact-based support systems. † It was not until the late 1990s that this usage was widespread. 3. BUSINESS INTELLIGENCE AND DATA WAREHOUSING Often BI applications use data gathered from a data ware house or data mart. However, not all data warehouses are used for business intelligence, nor do all business intelligence applications require a data warehouse. To distinguish between the concepts of business intelligence and data warehouses, Research often defines business intelligence in one of two ways: Using a broad defination: â€Å"Business Intelligence is a set of methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information used to enable more effective strategic, tactical, and operational insights and decision-making. When using this definition, business intelligence also includes technologies such as data integration, data quality, data warehousing, master data management, text and content analytics, and many others that the market sometimes lumps into the information management segment. Therefore, Forrester refers to data preparation and data usage as two separate, but closely linked segments of the business intelligence architectura l stack. Forrester defines the latter, narrower business intelligence market as, â€Å"†¦ referring to just the top layers of the BI architectural stack such as reporting, analytics and dashbord. 4. BUSINESS INTELLIGENCE TOOLS Operational Data Source: Business Intelligence system collects data from various sources including operation database, ERP, legacy apps, external database and etc. ETL tools (Extract, Transform, Load) are used to pull data from source database, transform the data so that it is compatible with the data warehouse and then load it into data warehouse. A Data Warehouse is a â€Å"Subject-Oriented, Integrated, Time-Variant, Nonvolatile collection of data in support of decision making†. Data Warehouses tend to have these distinguishing features: (1) Use a subject oriented dimensional data model; (2) Contain publishable data from potentially multiple sources and; (3) Contain integrated reporting tools. A data mart is a repository of data gathered from operational data and other sources that is designed to serve a particular community of knowledge workers. The data may derive from an enterprise-wide database or data warehouse or be more specialized. A data mart is a repository of data gathered from operational data and other sources that is designed to serve a particular community of knowledge workers. The data may derive from an enterprise-wide database or data warehouse or be more specialized. Literally, On-Line Analytical Processing. Designates a category of applications and technologies that allow the collection, storage, manipulation and reproduction of multidimensional data, with the goal of analysis. * A pivot table is a great reporting tool that allows for â€Å"slicing and dicing† data. * REPORT: It gives brief report about output Business Intelligence ETL tools Data Warehouse Marketing Data Mart Finance Data Mart Distribution Data Mart BI OLAP Reports Pivot Table Data gethered FIG 4. ARCHITECTURE OF BI 5. SUCCESS FACTOR OF IMPLEMENTATION Before implementing a BI solution, it is worth taking different factors into consideration before proceeding. According to Kimball et al. , these are the three critical areas that you need to assess within your organization before getting ready to do a BI project: 1. The level of commitment and sponsorship of the project from senior management 2. The level of business need for creating a BI implementation 3. The amount and quality of business data available . 1: BUSINESS SPONSERSHIP The commitment and sponsorship of senior management is according to Kimball et al. , the most important criteria for assessment. This is because having strong management backing helps overcome shortcomings elsewhere in the project. However, as Kimball et al. state: â€Å"even the most elegantly designed DW/BI system cannot overcome a lack of business [management] sponsorship†. It is important that management per sonnel who participate in the project have a vision and an idea of the benefits and drawbacks of implementing a BI system. The best business sponsor should have organizational clout and should be well connected within the organization. It is ideal that the business sponsor is demanding but also able to be realistic and supportive if the implementation runs into delays or drawbacks. The management sponsor also needs to be able to assume accountability and to take responsibility for failures and setbacks on the project. Support from multiple members of the management ensures the project does not fail if one person leaves the steering group. However, having many managers work together on the project can also mean that there are several different interests that attempt to pull the project in different directions, such as if different departments want to put more emphasis on their usage. This issue can be countered by an early and specific analysis of the business areas that benefit the most from the implementation. All stakeholders in project should participate in this analysis in order for them to feel ownership of the project and to find common ground. Another management problem that should be encountered before start of implementation is if the business sponsor is overly aggressive. If the management individual gets carried away by the possibilities of using BI and starts wanting the DW or BI implementation to include several different sets of data that were not included in the original planning phase. However, since extra implementations of extra data may add many months to the original plan, it’s wise to make sure the person from management is aware of his actions. 5. 2: BUSINESS NEEDS Because of the close relationship with senior management, another critical thing that must be assessed before the project begins is whether or not there is a business need and whether there is a clear business benefit by doing the implementation. [15] The needs and benefits of the implementation are sometimes driven by competition and the need to gain an advantage in the market. Another reason for a business-driven approach to implementation of BI is the acquisition of other organizations that enlarge the original organization it can sometimes be beneficial to implement DW or BI in order to create more oversight. Companies that implement BI are often large, multinational organizations with diverse subsidiaries. A well-designed BI solution provides a consolidated view of key business data not available anywhere else in the organization, giving management visibility and control over measures that otherwise would not exist. 5. 3: AMOUNT AND QUALITY OF AVAILABLE DATA Without good data, it does not matter how good the management sponsorship or business-driven motivation is. Without proper data, or with too little quality data, any BI implementation fails. Before implementation it is a ood idea to do data profiling. This analysis identifies the â€Å"content, consistency and structure †of the data. This should be done as early as possible in the process and if the analysis shows that data is lacking, put the project on the shelf temporarily while the IT department figures out how to properly collect data. When planning for business data and business intelligence requirements, it is always ad visable to consider specific scenarios that apply to a particular organization, and then select the business intelligence features best suited for the scenario. Often, scenarios revolve around distinct business processes, each built on one or more data sources. These sources are used by features that present that data as information to knowledge workers, who subsequently act on that information. The business needs of the organization for each business process adopted correspond to the essential steps of business intelligence. These essential steps of business intelligence includes but not limited to: 1. Go through business data sources in order to collect needed data 2. Convert business data to information and present appropriately 3. Query and analyze data 4. Act on those data collected 6. USER ASPECT Some considerations must be made in order to successfully integrate the usage of business intelligence systems in a company. Ultimately the BI system must be accepted and utilized by the users in order for it to add value to the organization. If the usability of the system is poor, the users may become frustrated and spend a considerable amount of time figuring out how to use the system or may not be able to really use the system. If the system does not add value to the users? mission, they simply don’t use it. To increase user acceptance of a BI system, it can be advisable to consult business users at an early stage of the DW/BI lifecycle, for example at the requirements gathering phase. This can provide an insight into the business process and what the users need from the BI system. There are several methods for gathering this information, such as questionnaires and interview sessions. When gathering the requirements from the business users, the local IT department should also be consulted in order to determine to which degree it is possible to fulfill the business’s needs based on the available data. Taking on a user-centered approach throughout the design and development stage may further increase the chance of rapid user adoption of the BI system. Besides focusing on the user experience offered by the BI applications, it may also possibly motivate the users to utilize the system by adding an element of competition. Kimball suggests implementing a function on the business intellegence website where reports on system usage can be found. By doing so, managers can see how well their departments are doing and compare themselves to others and this may spur them to encourage their staff to utilize the BI system even more. In a 2007 article, H. J. Watson gives an example of how the competitive element can act as an incentive. ] Watson describes how a large call centre implemented performance dashboards for all call agents, with monthly incentive bonuses tied to performance metrics. Also, agents could compare their performance to other team members. The implementation of this type of performance measurement and competition significantly improved agent performance. BI chances of success can be improved by involving senior management to help make BI a part of the organizational culture, and by providing the users with necessary tools, training, and support. Training encourages more people to use the BI application. Providing user support is necessary to maintain the BI system and resolve user problems. User support can be incorporated in many ways, for example by creating a website. The website should contain great content and tools for finding the necessary information. Furthermore, helpdesk support can be used. The help desk can be manned by power users or the DW/BI project team. . MARKET PLACE There are a number of business intelligence vendors, often categorized into the remaining independent â€Å"pure-play† vendors and consolidated â€Å"megavendors† that have entered the market through a recent trend of acquisitions in the BI industry. Some companies adopting BI software decide to pick and choose from different product offer ings (best-of-breed) rather than purchase one comprehensive integrated solution (full-service). 7. 1:INDUSTRY-SPECIFIC Specific considerations for business intelligence systems have to be taken in some sectors such as government, banking, hospitality, hotel chain. The information collected by banking institutions and analyzed with BI software must be protected from some groups or individuals, while being fully available to other groups or individuals. Therefore BI solutions must be sensitive to those needs and be flexible enough to adapt to new regulations and changes to existing law. 8. SEMI-STRUCTURED OR UNSTRUCTURED DATA Businesses create a huge amount of valuable information in the form of e-mails, memos, notes from call-centers, news, user groups, chats, reports, web-pages, presentations, image-files, video-files, and marketing material and news. According to Merrill Lynch, more than 85% of all business information exists in these forms. These information types are called either semi-structured or unstructured data. However, organizations often only use these documents once. The management of semi-structured data is recognized as a major unsolved problem in the information technology industry. According to projections from Gartner (2003), white collar workers spend anywhere from 30 to 40 percent of their time searching, finding and assessing unstructured data. BI uses both structured and unstructured data, but the former is easy to search, and the latter contains a large quantity of the information needed for analysis and decision making. Because of the difficulty of properly searching, finding and assessing unstructured or semi-structured data, organizations may not draw upon these vast reservoirs of information, which could influence a particular decision, task or project. This can ultimately lead to poorly informed decision making. Therefore, when designing a business intelligence/DW-solution, the specific problems associated with semi-structured and unstructured data must be accommodated for as well as those for the structured data 8. 1: SEMI-STRUCTURED VS UNSTRUCTURED DATA Unstructured and semi-structured data have different meanings depending on their context. In the context of relational database systems, unstructured data cannot be stored in predictably ordered colums and rows. One type of unstructured data is typically stored in a BLOB(binary large object), a catch-all data type available in most relation database management systems. Unstructured data may also refer to irregularly or randomly repeated column patterns that vary from row to row within each file or document. Many of these data types, however, like e-mails, word processing text files, PPTs, image-files, and video-files conform to a standard that offers the possibility of metadata. Metadata can include information such as author and time of creation, and this can be stored in a relational database. Therefore it may be more accurate to talk about this as semi-structured documents or data, but no specific consensus seems to have been reached. Unstructured data can also simply be the knowledge that business users have about future business trends. Business forecasting naturally aligns with the BI system because business users think of their business in aggregate terms. Capturing the business knowledge that may only exist in the minds of business users provides some of the most important data points for a complete BI solution. 8. 2: PROBLEMS WITH SEMI-STRUCTURED OR UNSTRUCTURED DATA There are several challenges to developing BI with semi-structured data. According to Inmon ; Nesavich, some of those are: 1. Physically accessing unstructured textual data – unstructured data is stored in a huge variety of formats. 2. Terminology– Among researchers and analysts, there is a need to develop a standardized terminology. 3. Volume of data – As stated earlier, up to 85% of all data exists as semi-structured data. Couple that with the need for word-to-word and semantic analysis. 4. Searchability of unstructured textual data – A simple search on some data, e. g. apple, results in links where there is a reference to that precise search term. (Inmon ; Nesavich, 2008)[25] gives an example: â€Å"a search is made on the term felony. In a simple search, the term felony is used, and everywhere there is a reference to felony, a hit to an unstructured document is made. But a simple search is crude. It does not find references to crime, arson, murder, embezzlement, vehicular homicide, and such, even though these crimes are types of felonies. † 8. 3: THE USE OF MATADATA To solve problems with searchability and assessment of data, it is necessary to know something about the content. This can be done by adding context through the use of metedataMany systems already capture some metadata (e. g. filename, author, size, etc. , but more useful would be metadata about the actual content – e. g. summaries, topics, people or companies mentioned. Two technologies designed for generating metadata about content are automatic catagorision and information extraction. 9. USES AND EXAMPLES OF BI 9. 1 WHICH TYPE OF COMPANY USE IT? * Hotel/restaurant chain. They use for prediction of menu,from that they know that which dis hes customer wants regularly or ocasanaly,they know that which restaurant not working properly and which in lost so they will close that and they know that which restaurant in profit so they expand it. Food chain/Retail stores They use BI tool for better market place. they use it for better supply chain management and efficient transportation and warehousing. By this tool authority knows about stocks in warehouse, which product have good response at which shop so provide a better stock their. they know about various product stock by just clicking away not to check for it. Wall mart, Relience fresh use business intelligence. For better profit and selling. 9. 2 EXAMPLES OF BI : 1 . Microsoft business intelligence 2. pantaho 3. oracle business intelligence 10. BENIFITS AND DISADVANTAGES 10. 1 BENIFITS 1. Continuous improvement of design making capabilities used to increase revenue ; reduce cost 2. Better tools for knowledge worker 3. Leverage the amount of captured transactions ; operation data 4. Multidimensional analysis 5. Ad-hoc status reporting ; what-if scenarios 6. Intuitive user interface 7. Customer behavior 8. Sales force analysis 9. Market ; customer penetration 10. Product ; service life cycle analysis 11. Budgeting ; planning 12. Business performance 13. Customer click stream information 4. Integration of traditional business ; e-business 15. HR performance evaluation 16. Compression analysis 17. Workforce planning ; optimization 10. 2 DISADVANTAGES : 1. Cost 2. Pilling of historical data 3. Complexity 4. Limited use 11. FUTURE A 2009 Gartner paper predicted these developments in the business intelligence market: * Because of lack of information, processes, and tools, through 2012, more than 35 percent of the top 5,000 global companies regularly fail to make insightful decisions about significant changes in their business and markets. By 2012, business units will control at least 40 percent of the total budget for business intelligence. * By 2012, one-third of analytic applications applied to business processes will be delivered through coarse graind application mashups. A 2009 Information Management special report predicted the top BI trends: â€Å"cloud computing, social networking, data visulization, mobili BI, predictive analitic, cloud compiting and multitouch. † Other business intelligence trends include the following: How to cite Business Intelligence, Papers

Mary Shelleys description Essay Example For Students

Mary Shelleys description Essay Other people including his sister were very worried and believed the quest to be too dangerous; many thought that the quest could never be accomplished. His sister was especially worried because it was a part of the world never visited and also there was no route discovered to the pole yet. Walton attempts, in his letter, to persuade his sister that everything will be alright. Victor Frankenstein was a young ambitious scientist who wanted to be the first ever human to create life. He wanted to be become famous and be well known for his work as a scientist. Even though people and other scientists with high reputations told him that it was dangerous and also that it could never be accomplished. Despite this he was determined not to let their thoughts get in the way and carried on with his plan. He prepared for his work by going into graveyards and charnel houses collecting body parts and bones of dead people: Spending days and nights in vaults and charnel houses churchyards were merrily respectable bodies deprived of life This choice of words by Mary Shelley is very effective because it makes the reader feel that something dreadful is being created because you wouldnt think something good of the creature when you here that the body parts of it were from dead, burned rooted people, this is very effective on the readers because it makes you feel as if you are there and are actually experiencing it. This also again shows the intelligence of Mary Shelley. This quote shows that he is willing to give sleep and food because he was so determined to go on with his dangerous mission and to create life. Finally Victor Frankenstein succeeds: After nights and days of labour and fatigue, I succeeded in discovering the cause of life. At this point Victor Frankenstein is very excited because after all his hard work he had finally discovered the way to create life. This basically makes him feel that his mission is unstoppable and that ultimately people would thank him for what he had accomplished. Mary Shelley is trying to convey the message that Robert Walton and Victor Frankenstein are going too far. They are both over ambitious and their preparations including giving up sleep and food shows that they are determined to do what they set out to do and nothing can get in their way. Both of their quests seem too dangerous and are also pushing the boundaries too far.