Finding and Evaluating Business Opportunities Case Study - 1

Finding and Evaluating Business Opportunities - Case Study Example From a detailed case study, it is identified that original KIPP schools in Huston and New York are successful. Huston and New York schools enrolled approximately 300 and 200 students respectively by the end of 1998. It was a great achievement in the American educational history since majority students had been giving little attention to their education till that period. The KIPP schools admit children by blind lottery without considering their prior achievement, special education needs, or bilingual status. In addition, this program forces the parents and students to sign KIPP commitment forms and documents that clearly define various duties and responsibilities of teachers, students, and parents. These practices are the most notable elements of their operational model that set them apart from standard schools. However, the efficient management strategies raised the KIPP schools to the position of charter schools that they received funding and oversight directly from Texas Education Agency. The KIPP schools possess a good culture as the sustained commitment of students, teachers, and parents became the hallmark of the schools. As a result, the school management could ensure the active participation of parents in this education program. Academic discipline is one of the most prominent qualities that the KIPP schools managements do not like to compromise with. In addition to the academic growth, the KIPP schools also aim at the overall development of each student as an individual. The schools give great emphasis on the recruitment of qualified teachers, and it has largely contributed to the overall success of the KIPP schools. The teachers are given the freedom to practice their own instructional styles and techniques and that makes the KIPP schools different from other public schools. However, above all, the creative strategic formulation of Mike Feinberg and David Levin was the central factor that intensified the rapid growth of KIPP schools. II. In my opinion, KIPP schools must be replicated since their initial ventures were successful. Although, the replication strategy assists the KIPP schools to expand largely, this process would raise numerous challenges to the management. For instance, Feinberg and Levin faced a series of challenges when they planned to launch their middle school program. They engaged in different phases of negotiations in order to get legal sanction from authorities. The same issue may become a barrier to KIPP school replication program also. While carrying out the proposed program, it is necessary to recruit new principals and train them efficiently. It would be a cumbersome task for Feinberg and Levin to ensure improved training packages for these new recruits. Presently, revenue for both schools is gained from public funds controlled either by school districts or state agencies. Since major portion of KIPP schools’ economic needs are financed by governmental authorities, the KIPP schools do not face finan cial crisis. However, the replicated schools may not get adequate financial assistance from government and such a situation would adversely affect this program. Lack of building facilities may also mitigate the effectiveness of new replication program. In addition, the new replication program would meet difficulty in recruiting sufficient fresh batches of fifth graders. Although the initial KIPP school programs are successful, if the students do not give enough priority to their education, it may adversely affect the basic objective of the proposed program. III. It is advisable for Feinberg, Levin, and Hamilton to design a specific path for the implementation of the proposed p

Data mining does not violate the constitution Essay

Data mining does not violate the constitution - Essay Example They fall under different industry categories such as health care, finance, retail, aerospace, and manufacturing have began using data mining techniques as well as tools in a bid to take advantage of the historical information and data. Data mining has helped various analysts to acknowledge crucial facts, patterns, relationships, trends, anomalies, and exceptions that could have otherwise go unnoticed. This is usually achievable by sifting through the warehoused information primarily by using statistical, mathematical, and pattern recognition technologies. From the business organizations point of view, data mining is essentially an important tool for discovering patterns alongside relationships in the given data with a view to help make more useful decisions. Furthermore, data mining is vital for developing better marketing campaigns, predicting customer loyalty more accurately, and helping spot sales trends. Some of the specific uses of this technology include fraud detection, inter active marketing, direct marketing, market segmentation, trend analysis, and customer churn. Literature Review Different scholars have come out in strong defense of data mining with majority of them arguing that it does not violate the constitution. Nonetheless, various have also sort to prove the damning effects of data mining particularly looking at the privacy of individuals. ... Furthermore, the article elucidates how the U.S. investigators essentially advocating for the agenda on robust antiterrorism have compelled communications firms to store as well as turn over unprecedented information regarding the telephone calls of citizens, daily movements, and Internet communications. Similarly, the dual interests of the private sector intention to maximize profits and determination of the government to combat future terrorist attacks have imperiled the standards of human rights. Similarly, the article Twenty-First Century Surveillance: Dna Data Mining and the Erosion of the Fourth Amendment by Ferrell Kelly (2013) argues that every time a person visits a webpage, runs a search engine, or makes a call, text, or purchases data is collected, and analyzed in order to determine that person’s individual propensities and predict their future behavior. Corporations justify data mining technology as an efficient means of targeting interested consumers, while the go vernment boasts of national security and public safety to rationalize the surveillance technique. In essence, the corporations have constructive objectives and goals in terms of the way they intend to utilize the new technology to meet the demands of prospective customers. The government on the contrary has credited the technology owing to its capacity to handle national security as well as the safety of the public. In the article, Regulating Governmental Data Mining In The United States and Germany: Constitutional Courts, The State, And New Technology by Schwartz Paul (2011), the author looks at how the legal systems of Germany and the United States respond to the use of data mining by