The underlying need for Data collection is to capture quality evidence that seeks to answer all the questions that have been posed. Through data collection business or management can deduce quality information that is a prerequisite for making informed decisions.
We work for you to improve the quality of information, it is expedient that data is collected so that you can draw inferences and make informed decisions on what is considered factual.
PRIMARY DATA COLLECTION:
Primary data collection by definition is the gathering of raw data collected at the source. It is a process of collecting the original data collected by a researcher for a specific research purpose. It could be further analyzed into two segments; qualitative research and quantitative data collection methods. .
SECONDARY DATA COLLECTION:
Secondary data collection, on the other hand, is referred to as the gathering of second-hand data collected by an individual who is not the original user. It is the process of collecting data that is already existing, be it already published books, journals and/or online portals. In terms of ease, it is much less expensive and easier to collect.
We use a bunch of underlying reasons for collecting data, especially for a researcher. Walking you through them, here are a few reasons:
INTEGRITY OF THE RESEARCH
A key reason for collecting data, be it through quantitative or qualitative methods is to ensure that the integrity of the research question is indeed maintained.
REDUCE THE LIKELIHOOD OF ERRORS:
The correct use of appropriate data collection of methods reduces the likelihood of errors consistent with the results.
DECISION MAKING:
To minimize the risk of errors in decision making, it is important that accurate data is collected so that the researcher doesn't make uninformed decisions..
DATA ANALYSIS:
Saving your time as well as money and relieving you from complex data sheets, we help you to forge smarter frameworks for churning data to relinquish results. Right from data gathering & cleansing to financial modeling and implementation, we cover the entire complex cycle of advanced research data analysis services. At the same time, we offer the services such as data quality audit, data cleaning, homogeneity analysis, extreme observations analysis and missing observations analysis. Especially, our team of expertized members will define the scope, deliverables, and business segments of the project. As well as, we prepare questionnaires, conduct field reviews, file observations and organize data. In fact, the team cleanses data, finds patterns and performs comparative analysis. In the final analysis, our term paper writing calculates formulas, creates charts and develops a model or framework.