Essay Topic Hub

Analysis
Essays

18,058+ paper examples, study guides & outlines

18,058 papers
1 subject area
UG & Grad levels
Free to browse
What is Analysis?

Analysis is one of the most fundamental skills across the social sciences, required in fields ranging from business management and marketing to law, political science, and public policy. Courses in these disciplines ask students to move beyond description and instead evaluate evidence, identify patterns, and draw reasoned conclusions. What makes analysis academically compelling is its versatility: the same core skill — breaking a subject into components to understand how they function together — applies whether the object of study is a corporate strategy, a legal case, a policy framework, or a philosophical concept like piety as discussed in Euthyphro.

The papers archived here reflect a wide range of analytical approaches. Many take a case-study format, examining specific organizations or situations such as Guillermo Furniture Store or JM Smucker's strategic choices to draw broader conclusions about business decision-making. Others are comparative, placing two law cases or decision-making processes side by side to highlight key differences and similarities. Additional papers focus on applied analysis in areas like demand forecasting, knowledge management systems, and marketing, using data and process-oriented frameworks to evaluate real-world outcomes.

A strong analytical essay begins with a focused, arguable thesis that makes a clear claim rather than simply summarizing information. Evidence drawn from data, documented cases, or established frameworks carries the most weight and should be interpreted, not just cited. The most common pitfall is confusing summary with analysis — describing what happened rather than explaining why it matters or what it reveals. Keeping the argument tightly scoped and consistently returning to the central claim throughout the paper will produce a more persuasive and academically credible result.

18,058 papers
Sort by:
Essay Doctorate
Web 2.0 Technologies for Recruitment and Retention
Web 2.0 technologies are revolutionizing every aspect of marketing and this includes the marketing of a company to prospective employees as well. The intent of this paper is to show how Web 2.0 technologies can be used for gaining access to more qualified candidates, and helping to keep them interested in the company over the long-term.
Essay Doctorate
Does Social Networking People Make Stronger Connections World Isolate People Real World Contact?
Social networks are creating a paradox of loneliness in society., While the founders of these networks often proclaims they are egalitarianism, research shows they replicate the cultural biases and taxonomies of social groups that exist in the real world. The implications of loneliness have more to do with the focus on how to grow social networks to be truly inclusive, not gated communities of those with similar interest and those also wanted to portray their lives as perfect.
Essay Doctorate
School Violence Has Become an Increasingly Important
The document discusses a research article relating to school violence. The article findings are that school violence is highly correlated with the level of principal effectiveness. Indeed, many schools are atypical when considering the violence levels of the communities within which they function. The conclusion is that the article provides valuable material for future study.
Essay Doctorate
Analytics and the Growing Dominance of Big
The level of uncertainty and risk that pervade many enterprises today is growing, as the dynamics and economics of markets are changing rapidly. The many rapid, turbulent structural changes in industries is also leading to a greater reliance on analytics and the nascent area of Big Data as well. The potential of this second area, Big Data, is in determining patterns in massive data sets that have in many cases been collected for decades within enterprises. The abundance of data within enterprises, when combined with Big Data aggregation and analytics techniques, can be used for drastically reducing risk and uncertainty in even the most challenging and fast-moving industries. Big Data is being hyped heavily by analytics systems and enterprise application providers as well, as this category of software allows for the use of long-standing analytics and business intelligence (BI) tools expanded supporting larger data sets. Many companies today are working to create enterprise-wide platforms for managing massive data sets, many of them integrating legacy and 3rd aprty databases many of which have never been integrated into a broader platform strategy before (Jacobs, 2009). These larger data sets and their inherent complexity make the overall analysis, aggregation, creation of taxonomies and customizing of reports challenging and difficult to achieve with the baseline or current set of analytics and BI tools available today however. The continual evolution of these applications and the fine-tuning of specific aggregation technologies including Hadoop and Map Reduce (Jacobs, 2009) have also contributed to making Big Data a more strategic foundation fro decision making. Enterprises are facing greater time and cost constraints than ever before, which also leads to the create and continually invest in larger data sets, analytics, BI and advanced reporting technologies all orchestrated to make the most of the terabytes of legacy data companies have (Chisholm, 2009). The rapid development of analytics, BI and data reporting platforms and tools has led to a level of innovation in enterprise software that is making it possible for enterprises to get more insights from the terabytes of data they have been collecting for decades. This category of software tools include analytics, BI, data visualization, product lifecycle data and predictive analytics all orchestrated to create a common platform for reducing risk while bringing greater intelligence into an organization (Ericson, 2010). As is the case with any high growth enterprise software category, there is an abundance of hype surrounding what these analytics and BI platforms and tools are and aren't capable of. The tendency to overlook the very difficult processes to extracting, transferring and loading (ETL) data from legacy systems and creating a highly effective ecosystem of data is very expensive for companies who have never attempted this before. Further, the methodologies needed for consistently and accurately capturing the data within a given enterprise require a level of discipline that many companies are lacking in their core process areas (Jacobs, 2009). Simply put, it is very hard work to capture all the heterogeneous sources of data throughout an enterprise, from the legacy systems to the 3rd party databases, and then perform ETL functions on them in order to create a new system of record for the entire organization to make use of (Ericson, 2010). Yet for organizations to capitalize on the potential that exists from these many diverse forms of information, intelligence and insight throughout their businesses, they must take the time and effort to create a unified, highly integrated single system of record to galvanize their Big Data strategies together (Jacobs, 2009). The objective of this analysis is to provide the arguments for and against having Big Data included in the strategic decision-making process within an enterprise. The strengths are presented first, followed by the weaknesses of this approach to harnessing data throughout an enterprise. The strengths and weaknesses are next compared and an assessment provided. One of the most prevalent technologies used for accomplishing Big Data analytics and intelligence are MapReduce and Hadoop, two aggregation technologies that can compress terabytes of data into taxonomies and quickly analyze them (Jacobs, 2009).
Paper Doctorate
Thesis topic sentences and structural clarity in academic writing
African Americans are marginalized and portrayed in a negative light in X-Men: First Class. True to stereotypical convention that is found throughout major motion pictures, the lone full-blooded African American character is killed within 30 minutes of his screen time. The dearth of other significant African American characters adheres to this convention.
Essay Doctorate
Strategic Choice Organizations Seeking to Expand Their
Organizations seeking to expand their operations have a wide range of expansion options at their disposal. Choosing the right option in this case can be rather challenging. My organization which plans to expand its…
Paper Undergraduate
Sociology concepts and applications
this is a sociology application paper on the daily life situations that we come across. Here the divorce issue is used as a case. There is application of the symbolic interaction perspective applied in this case, there is also the application of the conflict theory in understanding divorce and how to cope with it
Paper Undergraduate
Dreams and their psychological significance
The paper presents discuses on the ideal steps to take when considering an undertaking of research survey. In the paper a research methodology for analyzing the impact of dreaming or lack of dreaming on overall body functioning is given. The research methodology given in the paper involves a survey to be conducted among 20 (twenty respondents) in a controlled environment.
Paper Undergraduate
Macroeconomic Analysis and Comparative Stock
In the world of globalization and market liberalization, the countries and economies across the world become more intertwined and come to base their evolutions and decisions on international affairs. One important place where the governments can meet to exchange information and set the basis for future collaborations and partnerships is represented by the G20 Summit. This meeting takes place each year and it is attended by the governmental leaders of the twenty most developed regions, namely 19 countries and the European Union.
Research Paper Doctorate
Implementing lean operations in manufacturing and service industries
The theory of constraints, which was created by Elivahu M. Goldratt, is a particular body of knowledge that addresses effective management of various organizations as systems (McMullen, 1998).