Quantitative Analysis

Quantitative analysis is the process of collecting and evaluating measurable and verifiable data such as revenues, market shares and wages in order to understand a company’s behavior and performance.

Want to attract large Market and Grow your Business?

Our Company with the Quantitative analysis help your businesses grow by providing insight into patterns and trends in numerical data, enabling informed decision-making and strategic planning. By analyzing data about our customer behavior, sales, and other key performance indicators, their businesses can identify areas for improvement and we make data-driven decisions to streamline operations and increase revenue increase.

How about leveling up your business by using the Quantitative Method?

Paper Survey/ Telephonic Survey

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  • Paper surveys:- Paper questionnaires are distributed to our clients and received in person or by mail. Paper surveys are inexpensive, easy to administer, and can be distributed to diverse populations, but collecting and analyzing surveys can be time-consuming and result in low response rates.

  • Telephone surveys :- Includes call participants, ask quantitative questions orally, and record responses in the same way as online or mail-in surveys. Telephone surveys are efficient, inexpensive, and can reach a large number of people in a short amount of time, but they have low response rates and may not be suitable for certain demographics, such as the United States and for people without phone access or who are deaf

By using both paper and telephonic surveys, businesses can gain insights into their customer base, improve their products and services, and make informed decisions based on numerical data.

Content Analysis

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Content analysis is a research method used to analyze recorded human artifacts such as text, images, audio, and video to identify patterns and themes of communication in a reproducible and systematic way. Content analysis can be used to determine whether certain words, themes, or concepts are present in qualitative data such as text. It is a qualitative research tool that can be used to quantify qualitative data, focusing on content and its characteristics. Content analytics helps businesses gain insight into their customer base, improve their products and services, and make informed decisions based on communication patterns and themes.

Email/ Self Administrated Questionnaire

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  • Email questionnaires:- Surveys send questionnaires by email to a selected sample size and record responses in the same manner as online or mail surveys. Email surveys are cheap, easy to administer, and can reach large numbers of people in a short amount of time.

  • Self-administered questionnaire:- It is a questionnaire that is completed by our Respondent without the presence of an interviewer. Self-administered surveys can be conducted in a number of ways. It can be used to collect both quantitative and qualitative data by mail, online or in person. Self-administered surveys are inexpensive, easy to administer, and can be completed at the respondent’s convenience. However, self-administered surveys have a low response rate and may not be suitable for certain populations. People without internet access or illiteracy.

By using email and self-administered questionnaires, businesses can gain insights into their customer base, improve their products and services, and make informed decisions based on numerical data.

Secondary Data

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Secondary data in quantitative analysis refers to using existing numerical data to answer a research question. This data may be collected from a variety of sources, including government agencies, research institutions, and private companies, and may include data from surveys, observations, experiments, questionnaires, and personal interviews. Secondary data can be used to supplement primary data, data collected specifically for the current research study, and can provide a cost-effective and time-efficient way to conduct research. Secondary data can also be used to validate primary data, compare results, and identify trends and patterns in data. By using secondary data in quantitative analysis, businesses can gain insight into their customer base, improve their products and services, and make informed decisions based on existing data. 

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