Data Analysis and Compilation
After gathering the information from desk and field research the raw data must be compiled so that the taxonomic analysis can be performed and data can be broken up into respective parts and segments. This can be achieved in the following manner:
Data analysis and compilation also includes data cleaning strategy before the further analysis is performed. This cleaning is basically validating the data for any error or irrelevant data. Its a separate process for data cleaning performed before the analysis which is very important to fetch desirable results. This process also includes determining the missing values and inputting the most appropriate values in place.
It is also important to maintain the quality of the analysis and compilation for which the ideal key is use reliable measurement techniques.
Data sampling is also one more distinguished approach to decrease probability of repetitive data elements. It includes creating subsets of information according to a specific variable value and managing them as a whole. More the data is relevant the more accurate the results are.
An organization must define all the objectives in accordance to market requirement. The results from the compilation and analysis of data and information are very important and significant for the organization and shows success factors. The result of the process also depicts the trend of the organization by determining weak and strong points and how they stand stood in the market. Hence, every organization should have an organized and sophisticated way of compiling and analyzing the information.
- Market Research Process
- Desk Research
- Field Research
- Report Preparation
- Action Plan in Report Preparation
Authorship/Referencing - About the Author(s)
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