Marketing Analysis Essay Example | Topics and Well Written Essays - 250 words

Marketing Analysis - Essay Example Today Systems Insurance fulfills its commitment made to customers by providing auto, home, life and business insurance rooted in the founding values ofhonesty, affordability, and service on the basis that our customers come first. We offer products that will protect you without any hidden surprises. Together with a large network of independent insurance agents Systems Insurance serves more than 5 million insurance Customers in 16 states as well asCosta Rica, and the District of Columbia. With our agents, we continue to carry out the company’s founding purpose: Our Customers know we will work to go the distance to help them with their insurance needs and to recover after any monetary loss. That may be the reason behind System Insurance retaining over 92 percent of Customers, year after year. The following is meant as a guideline to help while implementing a new business innovation, to help the organization evolve and grow through the efficiency and productivity of both Agents and customers. As with most, if not all insurance companies, Systems Insurance wishes to remain profitable while implementing innovative, products, and technology. Increase revenue without increasing the rate of our policies. At Systems Insurance, our company revolves around our dedicated Agents. Our daily goal is to maintain and improve the effectiveness of policies in order to help Agents bring in new customers. Agents depend on the effectiveness of the technology we provide, by providing the best technology we help to ensure we continue to offer the highest levels of customer service Systems Insurance will continue to grow to compete with the largest of Insurance companies. The growth of Systems Insurance Agents has led to a large push in the number of Policy Holders we hold today, as well as the overall organizational footprint. Systems Insurance runs a strict risk management plan,

The impacts of both secondary education and bank credit rates on per Coursework

The impacts of both secondary education and bank credit rates on per capital gross domestic product - Coursework Example The study tells that gross domestic product measures a country’s total productivity level. It is defined as the total cost of economic outputs and consists of government expenditure, investments, net export, and consumption. Per capita gross domestic product, a derivative of real gross domestic product is on the other hand a product of population. Consumption in an economy is a factor of people’s disposable income. Similarly, available resources determine the level of a country’s export and hence its net export. Investments, which can be attained through public or private sectors also depends of capital through savings and loans while government expenditures includes spending from central and local governments. Commercial banks and other financial institutions therefore play an important role in economic development through availing investment capital in the form of loans. Provision of financial support also boosts the level of disposable income at a time and as a result boosts consumption. Banks lending capacity however depends on their credit rates that dictate availability of loans as well as loan interest rates. Financial crisis into low credit rates would therefore translate to lower circulation of money and a consequently strained economy through low consumption, investment and export levels. Education has also been identified as an integral factor of economic growth. Researchers and scholars argue that the level of income in jobs is significantly determined by a person’s academic qualifications.... Similarly, educated individuals are relatively more informed and tend to budget their incomes into savings and investments. These observations qualify secondary education, which is a step into colleges and universities, as an important factor to improving per capital gross domestic product (Bloom et al, 2005, p. 16). Research into determining existence and significance of relationships between variables such as per capita gross domestic product and its factors can be undertaken through regression analysis. Linear regression also determines degree of impacts of each explanatory variable in a model and is based on assumptions of linearity, homoscedasticity, and normality of variables (Newbold, Carlson & Thorne, 2010, p. 428; Ryan, 2011, p. 407, 408). This paper seeks to investigate the relationship between per capita gross domestic product and two dependent variables, rate of enrolment in secondary schools and credit rates of financial institutions. The paper will answer two research q uestions, ‘Is there a significant relationship between per capital gross domestic product and two dependent variables, secondary education enrolment and bank rates?’ and ‘Which of the two variables has higher effects on per capita gross domestic product?’ The paper will test the following sets of hypothesis, H 0: ?i=0; There is no significant relationship H 1: not all are zero; there is a significant relationship Using analytical approach, the effects of the two independent variables on per capita gross domestic product will be analysed. The paper will also test on the validity of statistical assumptions of regression analysis. Methods Participants in the project were selected nations whose economic data were