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ENG 123 - Composition

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Working with Information

The American Library Association defines information as "all ideas, facts, and imaginative works of the mind that have been communicated, recorded, published and/or distributed formally or informally in any format."

Information is everywhere, and with our mobile devices in hand, we can be instantly connected to its endless supply. As a scholar, you will not only dip into the information stream as you conduct your research, you will also contribute to it with your work of scholarship. How do you choose a topic, find credible information, and use it to create something completely new?

Choosing a Topic & Background Investigation

For a strong persuasive essay, your topic should be an issue that stirs up debate in conversation. It should be a topic that has defined, opposing sides. Consider your field of study, your career and your previous knowledge and experience while you are deciding upon a topic. You never know what information is out there on a topic until you start reading different sources and perspectives.  It is common that your topic will develop and change based on the research and sources you find, so be flexible and open to ideas. The cornerstone of developing a strong argument is to first survey what information is available and pertinent to your need. You can use some of the library's databases to get an idea of what information is out there on your topic and gain some important background information before you settle in to your final topic choice. For more help on refining your topic, visit the FAQ below.

  • How do I refine or narrow down my topic?  

The Multi-Search

The Multi-Search is the primary search box on the library home page, which is a "Google-like" database that searches through many of our article and ebook databases at once. Try a few simple searches using keywords connected to your topic idea, and see what kinds of resources are available. Search using two or so keywords that describe one side of your topic and try again with two or so keywords that describe the other side. What do you see in the information out there on your topic? 

Opposing Viewpoints in Context

The Opposing Viewpoints In Context database is another place you can view information on potential topics. It contains Topic Pages on popular and current social issues that may help you decide on a topic for your essay. From the Opposing Viewpoints In Context homepage, click on the "Browse Issues" link located near the middle of the page on the right side. This will bring up the complete list of Topic Pages. You can use the drop down menu at the top of the list to narrow the list by category.

Browsing through the list of Topic Pages can help you identify a general area of interest for your assignment. Click on a Topic Page to go to the individual page; the articles and resources there may help you refine your topic choice. Don't be afraid to explore and change your mind, research is an iterative process! 

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ENG 123 - English Composition II

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ENG 123 Module 5-6 Assignment: Persuasive Essay Draft    ...

ENG 123 Module 5-6 Assignment: Persuasive Essay Draft

Persuasion is a constant in each of our lives. No matter where we look, what we read, what we see, or whom we interact with, we inevitably encounter some form of persuasion. Advertisements want us to buy things. Media outlets sometimes want to convince us of how we should feel about events. We are put into positions where we must defend our thoughts and beliefs to others, and the process we apply is typically some form of persuasion.

Persuasive writing is a powerful form of writing—it can influence thoughts and has the ability to change minds about an issue. The persuasive essay is an ideal tool for supporting an opinion on an issue using researched facts and information. It also gives you, as the writer, the chance to recognize an opposing viewpoint and refute it, noting that at least part of the intended audience of the piece will be people who hold that opposing viewpoint.

For this essay, you will identify an issue in your area of study (Data Analytics) or the field you want to work in someday. You will then establish an argument and support that argument with research and relevant evidence. Specifically, you must address the following rubric criteria :

  • Provide an overview of the issue you have selected by briefly describing the main points and your argument.
  • Compose a thesis that states the argument that you will attempt to prove and support throughout your essay. This statement will give direction to your essay and should be well thought out.
  • Ensure that you write multiple focused paragraphs, clearly state their main idea, and move logically from one to the next, building the thesis argument as the essay progresses.
  • Your body paragraphs should support your argument by purposefully combining ideas with evidence from sources. The key to a persuasive essay is how well it is supported with quality evidence.
  • Address and refute at least one opposing viewpoint to your argument, which is your chance to discredit a significant opposing view and strengthen your argument in the process.
  • Briefly summarize the main points of your essay. This section should consist of a brief review of your main ideas.
  • Use evidence that you have found to wrap up the essay in a meaningful way that makes a connection to your audience.

What to Submit

Your persuasive essay draft must be 6-7 pages (plus references) and must be written in APA format

Answer & Explanation

The answer is in the explanation part check please

  • Title: The Importance of Data Analytics in Today's Business Landscape
  • Introduction: In today's technologically advanced world, data analytics is an emerging field that holds immense significance. This essay aims to shed light on the importance of data analytics in various sectors and how it has become an integral part of decision-making processes. By exploring the potential benefits and applications of data analytics, it becomes evident that harnessing data-driven insights can lead to improved efficiency, informed decision-making, and overall success. In recent years, data analytics has revolutionized the way businesses, organizations, and even governments operate. The abundance of data generated daily presents both opportunities and challenges. Data analytics serves as the bridge that connects raw data to meaningful insights, empowering entities to make strategic, well-informed decisions. One of the areas where data analytics has had a profound impact is in the realm of business. Organizations now have access to vast amounts of data from various sources, such as customer interactions, sales transactions, and social media engagement. By leveraging data analytics tools, businesses can analyze consumer behavior patterns, preferences, and pain points, which helps them tailor their products and services accordingly. Moreover, data analytics enables businesses to optimize their operations and streamline processes. Through the analysis of supply chain data, for example, companies can identify inefficiencies and reduce costs. Data-driven insights also play a pivotal role in inventory management, demand forecasting, and quality control, contributing to enhanced efficiency and customer satisfaction. The healthcare sector has also embraced the power of data analytics. The ability to process and analyze vast amounts of medical data has facilitated early disease detection, accurate diagnoses, and personalized treatment plans. Physicians and researchers can now access patient records, clinical trial results, and medical literature to make informed decisions about patient care. Data analytics has also proven valuable in public health initiatives. By analyzing demographic data and epidemiological trends, health authorities can identify high-risk areas and allocate resources effectively during outbreaks. Additionally, data-driven approaches have been instrumental in predicting the spread of infectious diseases, enabling timely interventions and containment strategies.B eyond business and healthcare, data analytics has found application in governance and policy-making. Governments are utilizing data analytics to assess public sentiment, evaluate the effectiveness of social programs, and identify areas requiring regulatory intervention. This evidence-based approach enhances transparency and accountability in governance, fostering trust between citizens and public institutions. Furthermore, data analytics aids in identifying trends and patterns related to crime and security. Law enforcement agencies can use data-driven insights to deploy resources strategically, prevent criminal activities, and enhance public safety Data analytics has become a driving force in today's interconnected world. Its applications span across various sectors, contributing to improved efficiency, informed decision-making, and overall success. Whether it's businesses adapting to ever-changing consumer needs, healthcare professionals providing personalized care, or governments crafting evidence-based policies, data analytics has proven to be an indispensable tool. As we move forward, the significance of data analytics will only continue to grow. Embracing this transformative technology will not only lead to better outcomes but also empower individuals and organizations to navigate the complexities of the modern world. By harnessing the power of data analytics, we can pave the way for a more prosperous and data-driven future.
  • Overview of the Issue: Data analytics refers to the process of collecting, analyzing, and interpreting large volumes of data to uncover valuable insights and patterns. In the current digital era, organizations in various industries rely on data analytics to gain a competitive edge. This essay focuses on the significant role data analytics plays in addressing business challenges, such as enhancing marketing strategies, optimizing operations, predicting consumer behavior, and ensuring data security. One of the key areas where data analytics has revolutionized business practices is in marketing. Traditionally, marketing decisions were often based on gut feelings or limited market research. However, data analytics has transformed this approach by providing marketers with access to a wealth of information about consumer preferences, habits, and demographics. Through data analytics, businesses can track consumer interactions with their online platforms, social media channels, and advertisements. This enables them to tailor marketing campaigns to specific target audiences, ensuring that promotional efforts resonate with potential customers. By understanding consumer behavior patterns, businesses can craft personalized marketing messages, leading to higher engagement and conversion rates. Data analytics has also proven to be invaluable in optimizing business operations. By analyzing operational data, companies can identify inefficiencies, bottlenecks, and areas of improvement. For instance, in manufacturing, data analytics can help monitor equipment performance, predict maintenance needs, and minimize downtime. In the retail sector, data analytics aids in inventory management and demand forecasting. By analyzing sales data and customer buying patterns, retailers can maintain optimal inventory levels, reducing holding costs while ensuring products are readily available for consumers. These data-driven insights lead to streamlined operations and cost savings, contributing to overall business success. Understanding and predicting consumer behavior is crucial for businesses aiming to stay ahead of the competition. Data analytics provides companies with the tools to analyze past consumer interactions and predict future trends. By leveraging historical data and employing predictive modeling techniques, businesses can anticipate customer preferences and adapt their offerings accordingly. For example, an e-commerce platform can use data analytics to recommend products based on a customer's previous purchases and browsing history. Similarly, content streaming services can suggest shows or movies tailored to a user's viewing habits. This personalized approach enhances customer satisfaction and loyalty, ultimately driving revenue growth. As data becomes more critical for businesses, ensuring its security is paramount. Data breaches and cyberattacks pose significant threats to companies' reputation and financial stability. Data analytics plays a crucial role in safeguarding sensitive information. Through data analytics, businesses can monitor network activity for any suspicious behavior, detect anomalies, and promptly respond to potential security breaches. Additionally, data analytics assists in identifying and mitigating vulnerabilities in the system, enhancing overall cybersecurity measures. By analyzing access patterns and user behavior, businesses can implement robust authentication mechanisms and data access controls, reducing the risk of unauthorized access. Data analytics empowers organizations to proactively address security threats and protect both their own data and that of their customers. Data analytics has become an indispensable tool for businesses across various industries. It addresses business challenges by enhancing marketing strategies, optimizing operations, predicting consumer behavior, and ensuring data security. As technology advances, data analytics will continue to play an increasingly vital role in decision-making processes and strategic planning. The ability to harness the power of data and transform it into valuable insights gives businesses a competitive edge and positions them for success in the dynamic and ever-evolving digital landscape. Embracing data analytics not only enhances business performance but also allows organizations to adapt swiftly to changing market trends and consumer demands. As we move forward, the significance of data analytics will only grow, making it a key determinant of business success in the future.
  • Thesis Statement: Data analytics has become indispensable in contemporary business settings, enabling companies to make informed decisions, improve operational efficiency, and gain a competitive advantage by harnessing the power of data.
  • Body: Data analytics plays a pivotal role in supporting business operations by providing valuable insights derived from analyzing vast amounts of information. This section will explore how data analytics benefits various sectors and describe specific applications in each.
  • One of the crucial domains where data analytics proves essential is marketing. By analyzing customer data, organizations can gain insights into consumer preferences, enabling them to tailor marketing campaigns and product offerings. Data analytics allows businesses to optimize their marketing strategies, targeting the right audience, and allocating resources effectively.
  • Moreover, data analytics provides valuable insights to optimize operations and improve efficiency. By analyzing trends and patterns in operational data, organizations can identify bottlenecks, streamline processes, and enhance productivity. This results in cost reductions and improved resource allocation, ultimately leading to increased profitability.
  • Another aspect where data analytics holds great potential is in predicting consumer behavior. By analyzing customer data, organizations can understand their preferences, anticipate their needs, and personalize customer experiences. This enables companies to deliver tailored products and services, enhancing customer satisfaction and loyalty.
  • Addressing opposing viewpoints is crucial to strengthen the argument for the importance of data analytics. Some may argue that data analytics could compromise data security and infringe upon personal privacy. However, it is important to highlight how ethical data handling and robust security measures can be implemented to mitigate these concerns. By adopting data governance frameworks and ensuring compliance with regulations, organizations can protect data while leveraging its potential. Data analytics also plays a significant role in the healthcare sector. The healthcare industry deals with a massive amount of patient data, ranging from medical records and diagnostic reports to patient demographics and treatment outcomes. By employing data analytics, healthcare providers can gain valuable insights into patient populations, treatment effectiveness, and disease patterns. These insights can help identify high-risk patients, improve treatment protocols, and enhance overall patient outcomes. Additionally, data analytics can contribute to scientific research and development. Researchers can analyze vast datasets to identify potential correlations and trends that could lead to groundbreaking discoveries. For instance, in drug development, data analytics can be used to assess the effectiveness of candidate compounds, identify potential side effects, and predict patient responses. This process expedites the drug discovery and development timeline, potentially saving lives and improving the quality of life for countless individuals. Furthermore, data analytics has found its way into the realm of finance and investment. Financial institutions use data analytics to evaluate market trends, assess risks, and make data-driven investment decisions. This enables them to optimize portfolio management and enhance investment strategies, leading to better returns for their clients and stakeholders. Data analytics is a transformative force that benefits various sectors in today's data-driven world. From marketing to healthcare and finance, data analytics empowers organizations to make informed decisions, boost operational efficiency, and better understand their customers. However, it is crucial to address concerns about data security and privacy to maintain trust and ensure responsible data handling. As technology continues to evolve, data analytics will likely play an even more integral role in shaping the future of industries and society as a whole. Embracing data analytics and its potential for positive change will undoubtedly lead to a more prosperous and efficient world.
  • Conclusion: In conclusion, data analytics has emerged as a vital tool for businesses to make informed decisions, improve efficiency, and gain a competitive advantage. By harnessing the power of data, organizations can optimize marketing strategies, streamline operations, predict consumer behavior, and protect data security. It is evident that data analytics is reshaping various sectors, and its significance will continue to grow in the future. As businesses strive to adapt to the ever-evolving landscape, incorporating data analytics into decision-making processes becomes imperative for sustained success.
  • References: 1. Davenport, T. H., & Harris, J. G. (2007). Competing on analytics: The new science of winning. Harvard Business Press. 2. LaValle, S., Lesser, E., Shockley, R., Hopkins, M. S., & Kruschwitz, N. (2011). Big data, analytics and the path from insights to value. MIT Sloan Management Review, 52(2), 21-32.

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