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Quantitative analysis is a complicated process applicable in all domains. It’s the process where company’s performance can be analysed based on non-quantifiable information such as industry cycle, revenues, labour relations and management expertise.

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Meaning of Quantitative Analysis

Every field of study be it statistics, finance, economics, mathematics can be analysed by using quantitative methods. Mathematical and statistical modelling techniques are used in quantitative analysis. It helps the business management to take collective and informed decisions after evaluating the verified data.


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Quantitative analysis can also be used for evaluation of a financial instrument, assess the performance, predicts the changes. The quantitative techniques require more time to learn and students need proper academic writing guidance. Our team at BookMyEssay provides qualified academic writers who offer Quantitative Analysis assignment help and they can assist you attain good scores.

Different Quantitative Analysis Techniques

The main task of the quantitative analyst is to present a hypothetical situation in terms of numerical terms. To measure data in quantitative analysis, there are mainly three techniques:

Linear Programming: The management team of companies occasionally face a scenario where there is a shortage in resources like labour, space or production unit. The quantitative method of linear programming helps a company to determine how to achieve such an optimal solution. Linear programming is also used to determine how a company can make optimal profits with a given set of constraints.

Regression Analysis: In this method, statistical equations are used to predict or estimate the impact of one variable on another. Regression analysis is used to determine how interest rates affect customers’ behaviour regarding asset investment. This is a common technique used by economists, business owners, and statisticians. Another application of regression analysis is to establish the effect of education and work experience on employees’ annual earnings.

Data Mining: It's used mainly for very large sets of data to find the correlations within them. Data mining is a mixture of statistical methods and computer programming skills. Depending upon the quantity and size of the available data sets, the popularity of the data mining parallel increases.

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Use of Quantitative Analysis in the Business Sector

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Quantitative analysis plays a vital role in the business sector and helps the business owner to take the best possible decisions under conditions of uncertainty. 

  • Production Planning: Quantitative analysis helps to estimate the different proposals for costs, timing and location for the new production unit. With proper planning, the company can make maximum profit out of it.
  • Finance: The accounting department use different methods of quantitative data to estimate the value of an investment.
  • Project Management: Here, quantitative analysis is considered an indispensable tool as it uses to find the best ways of allocating resources.
  • Inventory: Quantitative techniques helps to guide the purchase time, inventory level and storing finished goods base on the demand of the product/services.

Professional Academic Guidance from BookMyEssay

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