Writing an Actual Research Paper

Writing an Actual Research PaperWhen you are starting out in college, writing the research paper is probably not the first thing that you think of. But when you finish your first term paper, it will probably be one of the things that you look back on and say 'Oh, I really did that.' Writing an actual research paper has a lot of different steps, but we will go over all of them today.First of all, you need to decide whether you want to use traditional formats or your own unique way of formatting. There are plenty of tutorials and guides on both sides of the coin, so don't feel like you have to go with the chosen path. Regardless of which side you choose, you need to understand that there is a difference between the two. Your format will most likely change in the future, but you should have a good understanding of the format before you decide to write a paper using it.In terms of writing an actual research paper, there are two main parts that you must focus on. The first is the organiza tion of your material, and the second is the writing of the actual research. If you are just starting out and are unsure about how to organize the information you have, you can find some help from people who are more experienced than you are.The first step in the organization is the source. This includes researching from a variety of websites, books, newspapers, magazines, and many other sources. You will then start to figure out what type of information you want to use, and what order you want to present the information in. This is the most important part of the research paper, because once you have everything in order, you will be able to communicate the information to the reader.The writing of the research paper is a pretty straight forward process. In most cases, you will simply have to do research, write down your conclusions, and then summarize it in an effective manner. You will still need to proofread your work at times, but the more articles you have written, the easier it will be for you to remember what each sentence means and organize your points logically. However, the more time you spend doing research, the more you will benefit from the research that you write in this specific area.As you can see, writing an actual research paper can be quite simple if you know where to begin and where to go from there. The most important thing is that you do it correctly, so if you haven't done it before, do it. It will make the entire process much simpler.Writing an actual research paper is a wonderful experience. Just remember that you must do it right if you want to get the results you are looking for.

Cultural Perspectives On Sex And Relationships Essay

Cultural Perspectives Love, sex and relationships. These three aspects of life are in every culture. Although they are present in every culture, the characteristics of these three are portrayed differently between each and every society. Various cultures are influenced by the media, social norms, and traditions. The media portrays sex as if everyone is â€Å"doing it† all the time. This not only includes people who are married, but single people as well. Social norms, however, seem to look down upon people constantly having sex. Having sex constantly with many partners is not respected or accepted. And in tradition, it depends greatly from culture to culture. For the Muslim culture, wives are treated like property, where in America, marriage is the equal joining of two partners. To examine the differences between each culture/country in the world, we must dive into each culture’s beliefs and values amongst sexuality, relationships, marriage and love. The cultures focused on in thi s paper are Asian, European and American cultures. Firstly, is the Asian culture. In their culture’s belief about sexuality, relationships, marriage and love, the collectivist ideal is used. A collectivist ideal is described as having priority of the society or a group over individual welfare. This means Asians believe in groups’ ideals over individuals’ ideals. This collectivist ideal states that marriage isn’t only the unity of two individuals, but two families. Since this is the unityShow MoreRelatedMale Sexuality : Female Sexuality1024 Words   |  5 Pagesinterested in sex than men, and that women prefer monogamy. Women did not say that, but women believe it (Cavanaugh, 2013). Creating an environment where women control their urges to be sexual with more than one person, is called â€Å"slut shaming.† This is an example of societal control over the libido of women. As evidence of this theory, Russell used other species who mate with several different mates to ensure procreation. More partne rs greater the chances for pregnancy. Women want sex just as muchRead MoreThe Five General Perspectives On Human Behavior Shape And Mold1110 Words   |  5 PagesThe five general perspectives on human behavior shape and mold every relationship we have with other people. An excellent example is evident in a loving relationship between a husband and his wife. The obvious medium in which Biology affects a spousal relationship is through the natural urges and tendencies that are dictated by our biology. This happens by way of the bodily organs, endocrine glands, genetics and other natural systems that are inherently part of human beings. Together they form theRead MoreAnalysis of Maxine Hong Kingston No Name Woman1670 Words   |  7 PagesChapter I Introduction 1.1. 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Sex is the biological trait that we use to determine whether or not a person is a male or a female, whether it be through chromosomes, genitalia, or some other kind of visual physical description. When society talks about the obvious differences between men and women, they are often drawing on sex rather than gender, which is now an understanding of how society helps to shape our new understanding of these biological cate goriesRead MoreFriend Zone: Dating and Romance1129 Words   |  5 Pagespopular attitude towards relationships has emerged, namely the â€Å"the friend zone.† This refers to the situation a person (typically male) finds himself in when a friend rebuffs his attempts at sex or romance. The label of â€Å"the friend zone† is a frame for this predicament, which is only humorous from the perspective of the â€Å"friend-zoned,† when it is actually a very narrow-minded and demeaning concept. When a television show, film, or comedian presents a similar relationship, and categorizes it as â€Å"friend-zoning

Business Intelligence Research Report

Question: Write about the Business Intelligence Research Report. Answer: Introduction Data mining describes the process of data extraction, data analysis from viewpoints/dimensions, and subsequent production of a summary of info in a useful manner which acknowledges the relationships with the data (Trieu, 2017). Two types of data mining are descriptive that avails info regarding available data; besides predictive, that offers projections anchored on the data. Data Analysis on the other hand describes the process that uses a diverse tools and methods already developed for querying available data, discovering exception, and verifying hypothesis and entail reports and queries, managed query environment along with OLAP (besides associated variants like ROLAP (relational), HOLAP (hybrid) and MOLAP (multidimensional)) (Trieu, 2017). Data analysis remains a significant technique for the development of knowledge from vast quantities of data on business gathered and stowed daily, business require the effective selection of tools of analyzing data. Such effectiveness will make sure that strengths of such tools are commensurate to the business needs (Yang, Pinsonneault Hsieh, 2017). Firms have to master how tools are utilized and corresponding audience. Both internet and mobile users needs along with power users must be taken into account alongside the assessment of users skills along with knowledge besides the level of training required to obtain the foremost productivity from these tools. Methodology The methodological approach adopted for this study was systematic review of existing data on the topic. The internet was used to obtain the article that when the reviewed to gather data. The design for the study was mainly exploratory qualitative study. A total of twelve peer reviewed articles were selected and review. Data cleaning and censoring was done to eliminate the overlapping data. Thematic analysis focusing on the data analysis and mining tools was then perform to make data more useful to users. Results/Discussion Role of Data Analysis Tools and Data Mining The skyrocketing quantity of data that is under the present generation per annum make accessibility of useful info from such data increasingly essential. The info stowed in the data warehouse is the data repository accumulated from numerous sources like abridged info from internal systems, corporate databases along with data from outside sources (Shen et al., 2017). Data analysis entails simple probe along with reporting, analysis statistically, multifaceted analysis multidimensionality as well as data mining. Both data analysis alongside data mining remain key subsets of BI that further integrates Online Analytical Processing (OLAP), data warehousing and systems of database management. The above technologies are useful in Customer Relationship Management (CRM) when analyzing trends/patterns as well as querying databases. The search and subsequent analysis of large amount of data enables the discovery of useful trends/patterns and relationships, that are in turn utilized in the prediction of future behavior. Certain estimates suggest that the quantity of newfangled info double at an interval of three years. The info is stowed in the data repository collected from diverse bases to speak to the mountains of data. The info is then designed and implemented properly and updated regularly and stowed in the warehouse thereby enabling managers to excerpt to and examine info relating to the companys buying habits of customers, operations as well as products. Both tools for analysis and mining of data utilize quantitative examination, recognition of pattern/trend, analysis of cluster, discovery of correlation along with associations to undertake data analysis with slight or no Information Technology involvement. The aftermath information is in turn presented to a given user in a form that is effortlessly understandable via BI process. Analytical tools available for managers include queries and reports, OLAP alongside its variants MOLAP, ROLAP and HOLAP or managed query environments. Data mining supports such analytical tools as it develops trends/patterns useful for future analysis, and competes the process of BI. The tools for Data Mining utilize a range of techniques like advanced statistics and neural networks thereby allowing the locations of trends/patters acknowledgeable in data and in turn establish hypothesis. Data Analytic tools like enquiring tools besides OLAP variants examine data, undertake relationship determination, and subsequently perform hypothesis testing relating to the data. The Data Analytic tools endure to develop as well as grow under this background, with the entire goalmouth of enhancing BI, improvement of decision analysis, and, further lately, connections with business process management (BPM/workflow) promotion. Ethical Implications Circumventing Gathering, Storing and Using Customer Information Many ethical issues regards the gathering, storage as well as protection of data in respective databases. Organizations gather and stow a wealth of info relating to customers in corresponding databases. Three perspectives enable the effective examination of issues linked to data collected and stored in databases. These standpoints encompass companies ethical responsibilities to its corresponding customers, employees ethical responsibilities to organization and its corresponding customers and customers ethical responsibilities to the organization. The companies ethical responsibilities to customers circumvents around the data gathering of solely essential data from the customers, correctly safeguarding customer data, restricting the sharing of the customer data, as well as censoring errors in the customer data. the employees ethical responsibilities is to evade browsing via records of data and customer unless it is dictated by necessities, never selling the customer data to rivals, and never disclosing customer data to associated parties. The ethical responsibilities of the customer relates to their provision of data to the organization they are in a dealing with. Such customer responsibilities to the organization will entail provision of accurate as well as complete data where the data is essential, as well as upholding the obligation never to disclose or utilize the company data they can access (Marjanovic Dinter, 2017). The companies data analysts that use web analysts via digital measurement tools like Google on the websites of their client must have their Web Analysts Code of Ethics adhered to strictly. The professional must engage only with organizations that keep their data confidential, private as well as protected (Vidal-Garca, Vidal Barros, 2017). The companies must provide full disclosure of their corresponding consumer data usage practices to their respective customers, encompassing if and when they sell such data to 3rd party vendors. The ethics for data buyers must also be adhered to where certain organizations purchase data from additional sources in determining marketing strategies, targets of sales as well as discrimination of prices. The principles of data protection must as well be adhered to strictly. Eight principles of protecting data must be complied with by people processing the data. The analysts must fairly as well as lawful be processed and utilized for limited purposes. Further, data has to be adequate, relevant as well as non-excessive and accurate (Visinescu, Jones Sidorova, 2017). The data should as well never be kept longer than necessary as well as processed according to data customers rights. The data must as well be secure and never transferred to nations without sufficient protection. The customers from whom the data is collected must have informed consent. These customers must have adequate info to make independent choice of whether or not to partake that is oriented on comprehension of the risks as well as alternatives in surrounding that is free from coercion. The potential subjects decisions on the issue of consent has to be evidenced (Fuchs, Hpken Lexhagen, 2017). The subject requires to have an agreement that her data shall be utilized for a particular study scope as well as aware of the meaning of such utilization. Conclusion Whereas tools for data analysis are increasingly becoming simpler, extra sophisticated techniques shall need specialized staff. Particularly, data mining will need extra expertise since outcomes can be challenging to interpret and, hence, could need verification utilizing additional methods. Both analysis and mining of data remain integral components of BI, and need firm strategies for data warehouse to function properly (Fink, Yogev Even, 2017). This revelation implies that additional attention should be focused to the ETL mundane aspects and advanced analytical capability. The end product can solely be as effective as data which nourishes such a system. Recommendation Provided the central repository to store the huge quantities of data, firms require tools which aid in the extraction of the significant useful info from a given data set hence the need for data analysis tools and data mining. Data analysis must entail simple functions of probe besides reporting, analysis statistically and sophisticated analysis of multidimensional data along with data mining (or knowledge discovery in database/KDD). References Fink, L., Yogev, N., Even, A. (2017). Business intelligence and organizational learning: An empirical investigation of value creation processes. Information Management, 54(1), 38-56. Fuchs, M., Hpken, W., Lexhagen, M. (2017). Business intelligence for destinations: Creating knowledge from social media. Kokina, J., Pachamanova, D., Corbett, A. (2017). The role of data visualization and analytics in performance management: Guiding entrepreneurial growth decisions. Journal of Accounting Education. Le-Khac, N. A., Kechadi, M., Carthy, J. (2017). ADMIRE framework: Distributed data mining on data grid platforms. arXiv preprint arXiv:1703.09756. Marjanovic, O., Dinter, B. (2017, January). 25+ Years of Business Intelligence and Analytics Minitrack at HICSS: A Text Mining Analysis. In Proceedings of the 50th Hawaii International Conference on System Sciences. Roiger, R. J. (2017). Data mining: A tutorial-based primer. CRC Press. Shen, C. C., Chang, R. E., Hsu, C. J., Chang, I. C. (2017). How business intelligence maturity enabling hospital agility. Telematics and Informatics, 34(1), 450-456. Shmueli, G. (2017). Analyzing Behavioral Big Data: Methodological, practical, ethical, and moral issues. Quality Engineering, 29(1), 57-74. Trieu, V. H. (2017). Getting value from Business Intelligence systems: A review and research agenda. Decision Support Systems, 93, 111-124. Vidal-Garca, J., Vidal, M., Barros, R. H. (2017). Computational Business Intelligence, Big Data, and Their Role in Business Decisions in the Age of the Internet of Things. In The Internet of Things in the Modern Business Environment (pp. 249-268). IGI Global. Visinescu, L. L., Jones, M. C., Sidorova, A. (2017). Improving Decision Quality: The Role of Business Intelligence. Journal of Computer Information Systems, 57(1), 58-66. Yang, J., Pinsonneault, A., Hsieh, J. J. (2017, January). Understanding Intention to Explore Business Intelligence Systems: The Role of Fit and Engagement. In Proceedings of the 50th Hawaii International Conference on System Sciences.