Should Capital Punishment be reintroduced into Britain Essay Example Essay Example

Should Capital Punishment be reintroduced into Britain Essay Example Paper Should Capital Punishment be reintroduced into Britain Essay Introduction Capital punishment cannot take back what has already been lost. Life is sacred and to destroy it is unforgivable. So why let law carry out the same barbaric, slaughter? Osuma Bin Laden is a good example of why capital punishment should not be used. He created so much grief and destroyed so many lives that to bring death down upon him, does not seem to me like a suitable punishment. Death by no means is the harshest punishment for him or anyone else who has committed a crime. By killing through law we all become hypocrites of our own making.We say life is precious, that I know. We value ourselves enough to believe this, but cannot stick by our principles when we are tested to the limit. Human’s ability to forgive sometimes betrays us all. Capital punishment being reintroduced into Britain cannot be answered one way or another by statistics and figures. It rests upon the soul of man; his or her love or hatred for life could change someone else’s forever. Would you be able to slay someone for his or her felony?Many religious individuals believe that it is within the Bible that capital punishment should be legalised here. They believe that because Jesus was killed at the cross by public execution that this is a form of capital punishment. However, they fail to see that whilst the bible portrays an execution the bible also is putting the point across that nobody should take a life. Once again this is contradicted as the Bible also says â€Å"An eye for an eye, a tooth for a tooth.† With all these different retrospects how can one understand and consider the entire Bible as a whole. Why would anyone use their religious beliefs to make their own decision?In contrast to the feeble reasons as to why capital punishment should be reintroduced into Britain there are many reasons why this is not a necessary and worthy subject to support. To sentence someone to death is bad enough but to extinguish them due to fear of them committing the same horrendous crimes again is quite another. It is impossible to determine whether those executed would actually have repeats the crimes of which they were convicted. Execution entails taking the lives of prisoners to prevent hypothetical future crimes, many of which would never have been committed anyway.Similarly, I feel that I would not like to live in a society that is no better than that of a killer! People are going to commit horrific crimes however do they deserve to die? Such an act by any society or any law is the mirror image of the criminal’s willingness to use physical violence against a victim. No system is or could conceivably be capable of deciding fairly, consistently and infallibly who should live and who should die. We are turning into the killers if we cannot punish them in a rational way. We shall punish them, but we shall not become them.In many cases innocent people have been inhumanly killed due to someone else’s unlawful mistake. A man must be proven guilty f irst. A great deal is implied in that. For you and I to do something is one thing but for someone else to do something is quite another. To know whether one is guilty requires infinite study, which no one can give. When someone is sentenced to death the jury must be 100% sure that, the man or women is guilty of the crime he or she has been blamed of. There must be hard evidence to link someone to an incident as once the execution has been performed, there is and never will be any turning back. Hypothetically if in many years to come evidence were found to link someone else to the crime and to prove the innocence of the deceased what would then happen? It is too late to bring to justice the true criminal and some innocent man has had to suffer at the cause of another man’s error. Through life we all make mistakes but someone doesn’t always have to die for your actions. Is this any different? Putting a stop to capital punishment would save innocent lives!A classic exampl e of why people think capital punishment should be reinstated is that if someone had the hatred to conceive a crime then why not be able to face the consequences that come with it. This to some extent is true. But I feel that no human however full of hatred has no guilt for what they have done. Murderers may not feel any emotion for their victim at the time of the assault however, has anyone ever stopped to think what goes on in the brain after they come to terms with what they have done. For a period of time they enter a stage of denial and can not come to terms with what they have done. If they are then condemned to the same punishment then the criminal does not have to come to terms with the guilt and have to face the consequences of their actions. To some death is a consequence. To me this is an easy way out. So that the criminal does not have to live with the thought of what they did for the rest of their lives, day after day. Which would you rather if someone you knew was sava gely murdered, for the criminal to live and face what he did for the rest of his life or to die and be given an escape route from all the pain and suffering he had caused?On the contrary, criminals may not always feel remorse for what they have done. An illustration of this is Timothy McVeigh who bombed Oklahoma. He felt no sorrow for the pain he had inflicted and he knew what he would receive in return for the massacre he brought down upon Oklahoma. He was executed on June 11th 2002 and to this day he lives on. He is not someone that the world wishes to remember but he always will be, just like Hitler and many others who caused so much grief to the world. Timothy was the â€Å"master of his fate† and the â€Å"captain of his soul.† He is unconquerable because each day those affected by the bombing have to remember him and know what he put them through. This should show that in some cases people will not regret what they have done and will not change how they feel. Dea th will not change this. If they do not fear death and know that if they carry out their actions that they will be terminated. Why give them this pleasure?In addition to this, many people say that it is not like the criminal suffers in any way. However, lethal injections have not always been successful. The first lethal injection was held in Guatemala and was a painful and horrific experience for everyone there that day. The person to attach the line that was to supply the constant, steady flow of poison to the prisoner’s body was so nervous that it took a long time to start the procedure. There was then a power cut which stopped the flow of poison reaching its prey and the prisoner took 18 minutes in total to die. This to me does not seem like an easy, pain free experience. Any form of execution is inhumane. All methods can be painful and have their own unpleasant characteristics.Moreover, it must be remembered the death penalty is not only about the minutes during which the prisoner is brought from the cell and killed; a prisoner lives with the penalty of death hanging over his head from the moment he or she is sentenced to the moment of unconsciousness and death. The search for a â€Å"humane† way of killing people should be seen for what it is and not for what it should be. It is a search to make executions more palatable to those carrying out the killing, to the governments, which wish to appear humane, and to the public in whose name the killing is to be carried out. Man only seeks to find new methods to make it less pain staking for themselves not for the victim. That is what the criminal is. A victim. Anyone who under goes such a procedure is a victim. A victim of society.Should we refrain from using capital punishment on mentally disabled and children? Everyone should be treated as equals and yet this is not the case. We are brought up to treat everyone, as we would wish to be treated and to treat everyone as equals however, special trea tment is given in certain cases. Whether or not someone has complete control of what they are doing they still should receive the same punishment as someone who is capable of controlling their actions. If a mentally disabled person was to kill then shouldn’t they be given the same treatment as someone who is not disabled.This doesn’t happen and if someone can be made an exception then why bother having capital punishment at all. As every person is an individual. No two people are alike but everyone is treated equally apart from those with special needed. This is wrong under all circumstances. If a disabled person was capable of committing a crime they too can suffer the consequences. Child executions also need to be brought up here. If a man can kill and be sentenced to his death then if a boy of 15 years of age was to commit the same crime shouldn’t he be penalised in the same way the man was? Whether or not you could punish so harshly as to sentence a child to death is not the question. The question is if you can do it to a man why not a child? Introducing the capital punishment back into Britain will start arguments as to why some people are not convicted of the same punishment because of their age or their disability.However hard I try to convince you that capital punishment is wrong and that it should not be brought back into Britain, many will not change their minds due to principles or religion. However, would you like your children to one day grow up in a society that has a punishment of death? I do not believe in capital punishment and feel it is inhumane and that it is unlawful to kill another being whether through law or not. It should not be brought back into Britain who is above that degrading standard. If you believe capital punishment should be brought back into Britain I would like for you to imagine yourself- standing, watching as a victim is pumped with a warm liquid, which drifts them off into a calm sleep and obliterate s their body. Taking away what we believe is so precious. Life. Should Capital Punishment be reintroduced into Britain Essay Thank you for reading this Sample!

Whats a Good ACT Score for Your College

What's a Good ACT Score for Your College SAT / ACT Prep Online Guides and Tips Hopefully at this point in your college application process you have thought about your dream schools. Whether you took the ACT once and are debating taking it again or if you are just beginning the ACT preparation process, you are probably wondering what ACT will get you accepted. While there is no one exact ACT score that will be considered â€Å"good† for your college or guarantee you a spot, there is a particular ACT score that will you give you the best chance of being accepted. What is it? I will answer that and more by guiding you through 4 easy steps. College ACT Score Ranges and What They Mean for You Before figuring out your target score, you should look at colleges’ ACT score range.The score range will show the scores that admitted freshmen received.Usually, schools provide you with scores from the most recent applicant pool. The scores will be written in one of two ways: as a 25th/75th percentile range or as an average ACT score.The 25th percentile score indicates 25% of admits received an ACT score at or below that number (and 75% of admits scored higher).The 75th percentile score means 75% of admits received an ACT score at or below that number (and 25% of admits scored higher).The average ACT scoreis simply the average of all admitted students’ ACT scores. Looking at the score ranges will help you understand what ACT score you need to be a competitive applicant to that universitysince you'll know what ACT scores admitted students received.Before figuring out your target ACT score, you need to figure out what your list of target schools. Step #1: Create Your List of Target Schools You may have some schools in mind, but take the time to write down a list of the schools you hope to attend. Do not include your safety schools on this list.A safety school is a schoolthat you're almost certain you'll be accepted to with the ACTscore and GPA you have now. This target school list should include the more selective colleges. You should exclude the safety schools because you want to plan your target ACT score for the colleges with the most difficult admissions criteria. If you meet the admissions criteria for the selective colleges, you'll very likely be accepted to your safety schools.Once you have identified your target schools, draw a table with 3 columns with the following titles: School Name 25th Percentile or Average ACT 75th Percentile / Target Score Fill in your target colleges under school name as I did below: School Name 25th Percentile or Average ACT 75th Percentile / Target Score University of Michigan UC Berkeley Under the 2nd column for 25th percentile or average ACT, you should write either the 25th percentile or average SAT score for that college. As I said before, universities will only give you one or the other; whichever they give you, writethat number in that column. Under the last column for 75th percentile / target score, write the school’s 75th percentile score (if you can find it). For colleges that give average ACT, you will be calculating a unique target score later on in this article. Step #2: Find Out the ACT Scores of Admitted Students. Now that you have your list finding the admitted students’ ACT score range is very easy. Simply search â€Å"[College Name] ACT† or â€Å"[College Name] ACT 25th/75th percentile† in Google.That will lead you to what is known as the Freshman Admission Profile for your target school.If you can't locatea Freshman Admit Profile for your target college, check out our database of college admission requirements. There you'll find the admissions requirementsfor almost every schoolin the US. Use the Command + F function on your keyboard to search for your target college. Here is a screenshot of University of Michigan’s Freshman Admit Profile: Colleges will usually provide you with the 25th/75th percentile ACT score for freshmen. Some colleges call it the mid 50% range (as UMich does above), but the 2 numbers they provide are the 25th and 75th percentile scores.For UMich, the 25th percentile ACT score is 30, and the 75th percentile ACT score is 34. Add the 25th percentile / 75th percentile composite ACT score to your chart in the appropriate columns: School Name 25th Percentile or Average ACT 75th Percentile / Target Score University of Michigan 31 34 UC Berkeley While most colleges tell you the 25th/75th percentile ACT scores, other colleges will only give you one number, the average ACT score for admits (which UC Berkeley does on their admissions site).The average ACT score is just the average of all of the ACT scores for admits. Since the score is an average, you cannot determine exactly how many applicants scored above and below it, but we will assume about 50% of admits scored above and 50% of admits scored below. For Berkeley, the average ACT is 31. Knowing this information, we'll writeit in the column for 25th Percentile or Average SAT, leave the 75th Percentile / Target Score blank for now for the schools that only provide average ACT. I'll explain what to fill in for those schools later on: School Name 25th Percentile or Average ACT 75th Percentile / Target Score University of Michigan 31 34 UC Berkeley 31 Step #3: Determine Your Target Score for Those Schools. Based on each school’s 25th/75th percentile ACT or average ACT, we'll determine what your target score should be.For schools that provide the 25th/75th percentile ACT, you should aim for a score at or above the 75th percentile. (Which is exactly why I had you list the 75th percentile in the same column as target score. The 75th percentile is your target score!) For those schools that just give you an average composite ACT (such as UC Berkeley), I would aim for a score 2 points above that average score.For the best shot of admission to UC Berkeley, I would aim for a 33. You should writein that number (the average ACT plus 2 points) on your chart under 75th percentile / Target score: School Name 25th Percentile or Average ACT 75th Percentile / Target Score University of Michigan 31 34 UC Berkeley 31 33 You may wonder why you shouldn’t aim a score closer to the 25th percentile or the average since many applicants are accepted with that score. I wrote this article assuming that you are a â€Å"normal† applicant and not a â€Å"special† applicant. To qualify as a special applicant, you need to be an athlete, legacy, child of significant donors, or a unique talent (such as world-class opera singers or famous actors). These special applicants are typically admitted with the lower scores (25th percentile score). If you're a â€Å"normal† applicant, you'll want a higher ACT score to set you apart and give yourself the best chance of being accepted. The higher your score, the better your chance of admission. As an example, check out Brown University’s breakdown of admission; below is a screenshot: If you look at the highest score (36), 23.8% of applicants who scored a 36 were accepted to Brown, which is significantly higher than the overall Brown admissions rate 8.7%. You can see that as your score begins to decline (you get between 33 and 35) your chance of admission drops by 11.1%, from 23.8% to 12.7%.The lesson to take away from this data is the higher you score, the better your chance of being accepted. In my chart above, the two â€Å"Target Scores† vary by 1 point, so which should you aim for?Aim for the highest target score on your list. That way, when you reach the highest target score, you have the best chance of admission at all of the universities on your list. If you got a 34 and applied to UC Berkeley and University of Michigan, you would have a great chance of being accepted to both. However, if you aimed for the lower target score and got a 33 and applied to University of Michigan, you would now fall short of the 75th percentile score and be in the middle 50% of admits scores. You still have a decent chance of being accepted, but your chances are not quite as good. Step #4: Create a Plan to Achieve Your Target ACT Score. To achieve your target score, you need to have a clearplan of attack. If you need significant improvement to meet your target score, you should think about taking an ACT prep class, hiring an ACT tutor, or using an online ACT program such as PrepScholar. Our program figures out your strengths and weaknesses and personalizes your ACT preparation to your needs. For more information about our program, read How to Ensure Online Tutoring from PrepScholarTutors is Right for You? If your family can’t afford one of those options and/or you want to prepare on your own, check out our ACT study plan guides: 5 Step SAT/ACT Test Dates Study Plan for Summer before Senior Year SAT/ACT Test Dates Study Plan for Sophomores and Juniors SAT / ACT Study Guide: Schedule and Plan for One Year or More Don't forget that your target score is in reach if you put in the time and effort. What’s Next? Learn more about preparing for the ACT: How Many Questions Can You Skip for a Good ACT Score? Systems of Equations on ACT Math: Algebra Strategies and Practice Problems The Ultimate Study Guide for ACT English: Tips, Rules, Practice, and Strategies The Ultimate Study Guide for ACT Science: Tips, Practice, and Strategies Want to improve your ACT score by 4+ points? Download our free guide to the top 5 strategies you need in your prep to improve your ACT score dramatically.

Inhibit vs Prohibit

Inhibit vs Prohibit Inhibit vs Prohibit Inhibit vs Prohibit By Maeve Maddox Greg Landretti asks: How about inhibit versus prohibit? The first definition of inhibit in the OED gives prohibit as a synonym: inhibit: trans. To forbid, prohibit, interdict (a person) Several of the illustrations show inhibit being used where a modern writer would probably use prohibit. Heres one: By expresse words he was inhibited to beare armes without his own frontiers. prohibit: trans. To forbid (an action, event, commodity, etc.) by a command, statute, law, or other authority Perhaps owing to the influence of the psychology term inhibition, current usage usually associates inhibit with internal control and prohibit with external control. inhibition: Psychol. A voluntary or involuntary restraint or check that prevents the direct expression of an instinctive impulse; also colloq., in looser use, an inner hindrance to conduct or activity. Scientists fear that libel ruling will inhibit debate. Most dogs need to learn to control or inhibit their behavior. B.C. Government Says it Will Prohibit Mining in the Flathead. New Hampshire Bill HB 1301 will prohibit no-fault divorce for parents with minor children. The ability to inhibit ones desires and impulses is an essential and desirable social skill. In some contexts, however, the word inhibited conveys a negative state, while uninhibited is seen as positive. I find myself wishing I were not so inhibited. The people from South Africa are known for the wonderful, uninhibited way in which they express their joy and happiness in life. It was not until the twentieth century that freedom of the press came to be understood as guaranteeing an uninhibited, robust and wide-open public discourse. Want to improve your English in five minutes a day? Get a subscription and start receiving our writing tips and exercises daily! Keep learning! Browse the Vocabulary category, check our popular posts, or choose a related post below:20 Great Similes from Literature to Inspire YouThe Four Sounds of the Spelling OU20 Movies Based on Shakespeare Plays

Philosophy Essay Example | Topics and Well Written Essays - 1500 words - 6

Philosophy - Essay Example If one can form the adequate and perfect idea, then absolute knowledge of God is viable. For Spinoza, to conceive an idea in its most adequate form, the mind needs, first and foremost, to undergo a long and strenuous process of self-transformation, the aim of which is to render itself adequate to the infinite intellect. Thereafter, the mind is able to intuit the concrete essence of a thing as Gods knowledge. Gods essence is eternal and infinite. By contrast, human knowledge is temporal and finite. To reach Gods knowledge, the human mind must transcend itself to the extent that it grasps Gods eternity and infinity. On knowing Gods essence, humans are, to a certain extent, as infinite and eternal as God is. In what ways can humans know the infinite and eternal aspects of Gods essence? Insofar as one knows the first causes of things, one understands the infinite of Gods essence as substance. Such formulation is not very illuminating. How are the first causes of things related to the infinite aspect of Gods essence? Even if infinity is tantamount to the first causes of things, how can one practically experience actual infinity so as to comprehend Gods essence? Spinoza suggests two kinds of infinity, the infinite of imagination and the infinite of reason. Presumably, the two infinities are related: one has to grasp, say, the infinite of imagination before proceeding to the infinite of reason . Within the context of infinity, God’s essence is eternity. Eternal existence is conceived to follow from the essence of the thing. Gods essence necessarily involves his existence; to know a things essence as Gods knowledge entails grasping its eternal existence as well. Humans exist and endure in time. How can they know Gods essence and enjoy his eternal existence? As finite modes, things are caused to exist. Things subsist in time; they come into existence and go out of existence. Through conceiving ideas, humans know things as

Buying & Merchandising Project Essay Example | Topics and Well Written Essays - 3500 words

Buying & Merchandising Project - Essay Example In propounding such a vision of capitalism, Schumpeter extrapolated the business model framework for competitive markets, stating â€Å"capitalism, then is by nature a form or method of economic change† (Schumpeter, 1942). Furthermore, Schumpeter argued that innovation was the key to success and survival in a capitalist state and Reinert refers to the fact that the term highlights how failure to be innovative in business results in a â€Å"vicious circle where developing countries, lacking the necessary technological and institutional infrastructure, fall further and further behind† (Reinert, 2004:11). Therefore according to Schumpeter’s model, capitalism is the central change embodied in technological advancement and innovation as a form of economic evolution (Aghion, P., & Howitt, P., 1992). From a retailing perspective, it is evident that proliferation of the multi-channel retailing paradigm as required retailers to â€Å"innovate† in order to maintain position in the marketplace (Levy & Weitz, 2008). Schumpeter further argues that internal innovation within a business operational framework produces lower costs, which in turn permits companies to sell products at lower prices, which is referred to as dynamic efficiency (Utterback, J. 1996). This in turn highlights a key element of Schumpeter’s model that competition for innovation as opposed to competition for customers is the most important, which arguably underpins contemporary multi-channel retail strategy (Diamond & Pintel, 2004). Innovation in the context of multi-channel retail strategy essentially becomes essential to effective capitalism, providing the foundation of dynamism in line with Schumpeter’s theory that the evolution and sustainability of a successful business model is not dependant on how capitalism administers existing models, but rather with how it destroys them through creativity to survive long term growth (Metcalfe, J.S. 1998; Levy & Weitz,

Difference Between Data Warehousing And Data Mining Information Technology Essay

Difference Between Data Warehousing And Data Mining Information Technology Essay The information systems (IS) field is terms of key development can be called data warehousing in database environtment. Different organizations receiving different significant returns than others because its benefits are plentiful. The organization will have different types of returns in the impact of data warehousing . Each company can be tie the benefit to the way in which it conforms to the framework as it shows in the analysis . We will see how dan organization can be transformed by data warehouse, Analysis also showing the explaination of differences in impact. A large manufacturing company (LMC) involving case study of data warehousing, a financial services company (FSC) are presented and discussed within the context of the framework and the Internal Revenue Service. Keywords : Multidimensional modelling; Conceptual modelling; Time-series; Data warehouses; Data-mining Introduction Data warehouses are becoming part of the technology. Data warehouses are used to consolidate data located in disparate databases. A data warehouse stores large quantities of data by specific categories so it can be more easily retrieved, interpreted, and sorted by users. Warehouses enable executives and managers to work with vast stores of transactional or other data to respond faster to markets and make more informed business decisions. It has been predicted that every business will have a data warehouse within ten years. But merely storing data in a data warehouse does a company little good. Companies will want to learn more about that data to improve knowledge of customers and markets. The company benefits when meaningful trends and patterns are extracted from the data. Data mining, or knowledge discovery, is the computer-assisted process of digging through and analyzing enormous sets of data and then extracting the meaning of the data. Data mining tools predict behaviors and futu re trends, allowing businesses to make proactive, knowledge-driven decisions. Data mining tools can answer business questions that traditionally were too time consuming to resolve. They scour databases for hidden patterns, finding predictive information that experts may miss because it lies outside their expectations. Data mining derives its name from the similarities between searching for valuable information in a large database and mining a mountain for a vein of valuable ore. Both processes require either sifting through an immense amount of material, or intelligently probing it to find where the value resides. What is Data Warehousing Data warehousing is a collection of decision support technologies that enable the knowledge worker, the statistician, the business manager and theexecutive in processing the information contained in a data warehouse meaningfully and make well informed decisions based on outputs. The Data warehousing system includes backend tools for extracting, cleaning and loading data from Online Transaction Processing (OLTP) Databases and historical repositories of data. It also consists of the Data storage areacomposed of the Data warehouse, the data marts and the Data store. It also provides for tools like OLAP for organizing, partitioning and summarizing data in the data warehouse and data marts and finally contains front end tools for mining, quering, reporting on data. It is important to distinguish between a Data warehouse and Data warehousing. A Data warehouse is a component of the data warehousing system. It is a facility that provides for a consolidated, flexible and accessible collection of data for end user reporting and analysis. A data warehouse has been defined by Inmom (considered one of the founders of the Data warehouse concept) as a subject-oriented, integrated, time-varying, non-volatile collection of data that is primarily used in organizational decision making. The data in a data warehouse is categorized on the basis of the subject area and hence it is subject oriented Universal naming conventions, measurements, classifications and so on used in the data warehouse, provide an enterprise consolidated view of data and therefore it is designated as integrated. The data once loaded can only be read. Users cannot make changes to the data and this makes it non-volatile. Finally data is stored for long periods of time quantified in years and bears a time and date stamp and therefore it is described as time variant. The format of data collected are not always the same eventhough each of these systems collect data . So, the combination of all these data from all sorts sources that combined together to form a single data and the combination of database forming a single homogenous form is what we called data warehousing. The data is not only subject-oriented and integrated but also time-variant and non-volatile collection of data to support management in making decision. 1) Time-variant that In order to make the reports that go in propotional with time , the data ware house that has been changed should be tracked and recorded. 2) Non-volatile Data warehouse is never deleted, so that data is read only and static and will be used for future reporting 3) Integrated Data is consistence and is representing all operational system. Data management and data retrieval are the proess that can define data warehousing. An organizations can integrate their various databases into data warehouses using process different capabilities and culturesThe idea of maintaining central data is brought by data warehouse. Although the concept itself has been around for years, like data mining data warehousing, is a relatively new term. Data Warehouse Design There are two different ways of Data Warehouse design; Ralph Kimball and Bill Inmons model. In Inmons architecture, before data being transferred to the data marts, data from OLTP database is firstly stored in a warehouse. In Inmons model view,tThe data warehouse is a real database. Kimballs architecture using OLTP database shows that data is transferrefed directly to the data mart. Based on the picture above, a collection of integrated data marts will form the data warehouse. What is Data Mining? Data or knowledge discovery or generally called Data mining. It is the process of getting data from different resources and turn them into information that can be useful for organization One example of tools to analyze is analyzing data using data mining software. Data from many different sources and with different uses and characters will be analyze by users. So, technically, data mining the process of finding correlations of fields in large relational databases. In general, data mining is the process of making data usefull after analyze it from different kind of information environment and turn into vary kind of useful information. . Data from many different dimensions or angles can be analyzed by users and then be summarized into the relationships . On the other hand, the process of finding or different in data mining is not an easy process and do need different process and analyze. There are five major elements in data mining : Data can be presented in graph or table and other formats. Data transaction is loaded onto the data warehouse system. Data is stored and managed in a multidimensional database system. Application software can be used to analyze and intrepenting data Information professinals especially who are involve in business world can access the provided data. Continuous Innovation The technology is not new nowdays eventhough data mining is a quite new. Take this case for example, One Midwest grecory is using Oracle software to look and search about the buying patterns of local. It has been discovered that whenever men bought cigarettes on Saturdays and Thursdays, they also want to buy beer. Then it also showed that Saturday is the day when these shoppers typically did their weekly grocery. However, they only bought a few items on Saturdays. It is concluded by the retailer that the reason they purchased the beer is to have it for the weekends ahead.. Furthermore, they have to make sure that the price are full for cigarettes and beer on Thursdays. What can data mining do? Here are the focus among a costumers retail, financial, communication, and marketing organizations which are data mining that been used by a company especially for the basic data. Product, the condition of product and the day of business can be some internal factors for this. Other than that the perfomance on sales, customer rights satisfaction, also profits for organizations can also determined by companies. Finally, transactional data can be viewed with details from the summary information. The development of products and promotion is also important to appeal to specific customer segments by getting demographic data from comments or even warranty cards provided by company. In order to transform supplier relationships. Applications of Data Mining The basic of data mining has been involved in many fields such as business, scientific research, banking sector and many more . All of these fields have been using data mining. Now its use is easier compare to what it was.. These tools can be used practically to carry out complex data mining techniques and get ease with it.. In order to do improve marketing field of and organization and try to understand its clients buying patterns, Data Mining is used by businesses. Data mining is used more widely than ever before because of expanding variety of tools and softwares in new era like it is today.. Intelligence agencies like FBI and CIA also use data mining for identifying terrorisms threats or even after the incident of 9/11 in America. It is really important to uncover terrorist plots. However the people concerned as data collected for such works will invade many peoples privacy.. Banking sector also using data mining for credit card problem detection and anything relation to credit c ard crime as what is happening now days. . It is also can reduce the risk of any credit card problem among their customers, especially to identify potetntial costumers and to state wether loan can be able to approve to any customers. Steps of Data Mining From the picture, we can see the step of data mining Data Integration: All the different sources contribute data which are collected and integrated. Data Selection: We have to select data and make sure that it is usefull for data mining. Data Cleaning: The data collected may not all correct and need to be checked again before being used to avoid data errors and uncertain problem. Data Transformation: Eventhough the data has been cleaned, to have data ready for mining, we still have to do something and transform data into the right form so that mining process will not be any problem. Many techniques can be used to complete data transformation suck as like smoothing, aggregation, normalization techniques. Data Mining: Techniques like clustering and association analysis are used among the many different techniques used for data mining only when we are ready to apply data mining techniques on the data to discover the interesting patterns. Pattern Evaluation and Knowledge Presentation: Transformation, visualization, removing redundant patterns are steps from the patterns we have generated. Decisions / Use of Discovered Knowledge. In order to make use of the knowledge which acquired to take better decisions, this step helps. Difference between Data Warehousing and Data Mining Data warehousing can be define as the inntegration and combination of data from different sources and various of format into a single form or a single schema. Huge amount of data can be provided by data warehousing with a storage mechanism. Meanwhile, The Enterprise has been provided with a memory by Data Warehousing and intelligenge is provided by data mining . So, the discovery of useful patterns can be done using the of data mining techniques on the data warehouse. Data Mining Tools In order to build companys own custom mining solution, they have to purchase mining programs. This program is designed for existing software and hardware platforms and the program can be integrated into new products and systems. For example in order to give the mined data more value, the organization has to determine data mining output into another output such as ware house as a neural network which is said quite common . This is because, , the data mining tool will gather the data if the other program makes decisions based on the data that has been collected. In the market place they are a lot of data minings that come in different model and tools or tecniques. Each with their own strengths and weaknesses. A right kind of data mining is really important to any organization because if the organization buys a wrong data mining and its nothing to do with their business goal, data mining will be useless. This is a really important consider especially for organizations which are going to expand. These three categories are the classification of most data mining tools: Dashboards. Is used to monitor information in a database and is installed in computer, dashboards reflect updates onscreen and data changes always wether in charts or in tables so that the user can see how the business is performing and working. Traditional Data Mining Tools. Data mining programs will be used in organization and the effect of it will be securely seen.. In order to monitor the data and highlight trends and others capture information residing outside a database. You can even see some of thiese tools on the desktop. Text-mining Tools. The ability to work as PDF and ability to analyze data and can be used in various kind of data processing from hard text to simple words. These tools can be used to scan content. There are a lot of unstructured scanned content for example information is scattered almost randomly across the document, audio or video data or internet based data or structured for example the datas form and purpose is known, we can say database content.. A wealth of information can be provided for organizations by capturing these inputs that can be mined to discover all kinds of concepts and trends or any other data processing in another environment. The Benefits of Data mining/ Data warehouse To Organization. By using Data warehouses business executives can look at the company as a whole unit. There must be reasons on spending so much money by many corporations to implement data instead of looking at an organization in terms of the departments that it comprises. . Data warehouses also use their ability to handle a lot of tasks in an organization involving many different departments. In order to make sure that every transaction will be made in certain time frame, the good transaction system will be set up by every organization The biggest problem with report and queries is the transaction can not be made in time frame and then will be late to be compiled. On top of that and in order to overcome the problem, many companies are working to come out with a good data warehouse and hopefully can be able to settle down any problems regarding transactions. Another benefit from data warehouse is the uses of data model for any queries regarding transactions and the outcome is really convincing.. Models for queries are really important especially to come out with good reports. Eventhough transaction processing system doesnt really need this but the implementing of a good model can help the company. Anyway, wrong modeling methods can slow down the process of transactions. Eventhough transaction process has to be at speed by the server units, but at the same time, they will slow down the process of query. Queries of data can be made using data ware house and this is one of the reason why it is very efficient. Anyway, a big number of transaction system can lead to big transaction system. So, the company always has to get ready to come out with different data warehouse or even worse, different models of processing. The combination of every departments in a company is really important in order to overcome any problems regarding processing and transaction of data. The Benefits of Data Mining Data mining allows companies to exploit information and use this to obtain competitiveadvantage. Data mining helps identify trends such as: why customers buy certain products ideas for very direct marketing ideas for shelf placement training of employees vs. employee retention employee benefits vs. employee retention Conclusion In order to discover trends and patterns in temporary data, we use time-series analysis as a powerful technique . Not only their management is expensive but these data also are also low-level of abstraction. Two main problems are always been faced by most analyst. First, to clean of the huge amount of potentially-analysable data and second to correct the definition of the data-mining algorithms to be employed. Data warehouses has been proved to be a powerful repository of historical data since their appearance especially for data-mining . In addition, their modelling paradigm for example multidimensional modelling, is not any different to the problem domain. Anyway, a coherent conceptual modelling framework for data-mining assures is believed as a better and easier knowledge-discovery process on top rank of data warehouses.

A Fishbone Diagram

A fishbone diagram, also known as a â€Å"cause and effect† diagram is a problem solving technique used in project management. It has also been referred to as an Ishikawa diagram after a Japanese professor; Kaoru Ishikawa. Problems arising in projects usually have many causes and in some cases, these problems may be interrelated and complex. A fishbone diagram is thus a useful tool that diagrammatically enumerates these problems aiding in their solution.Due to its diagrammatic nature, it is possible to view at a single glance the elements surrounding the project and thus identify all the problem areas and hence work on their solution in and easier manner. This is a major advantage of this technique. Additionally, it facilitates an in-depth analysis of problems by splitting them into causes and sub-causes. This again ensures a more efficient and effective approach to problem solution.It is also extremely easy to use and this poses as an important advantage over other management tools. To make a fishbone diagram, one draws a horizontal line pointing to the problem whose solution is desired. Secondly the causes of this are identified and indicated by backward sloping lines along the first line, called ‘bones’. Sub-causes of the problem are usually then identified and put as sub-branches. Lastly, a fishbone diagram has been said to facilitate brainstorming.To come up with the ‘bones’ discussed above, the project management committee needs to think and rethink the causes leading up to the effect. An example of the use of a fishbone diagram can be a project to increase sales by a particular firm. The â€Å"causes† here thus ‘bones’ would then be constituted by such items such as pricing, advertisement, market, branding, product features, etc. All in all, it is agreed that this is an effective tool which every project manager should equipped with.