The work of a human resource manager in every organization is always crucial. This personnel's roles are much more than just recruiting new employees, as many people may perceive. Apart from monitoring the progress and welfare of the fellow workers and the utilization of resources in the company, human resource managers also collect information about the firm's progress and analyze the data for future decision making.
Some crucial data collected by the human resource manager is the firm’s Customer Relations Management (CRM) system. This data studies the response of the customers regarding the company ( Oge & Topaloglu, 2018) . CRM is essential in that the company can realize its market share and value. This data helps in the realization of the firm's strengths and weaknesses in the customer-relations teams. Additionally, the collection of this information assembles more customer requirements, such as their taste and preferences. From the data, the company can study the strength of their opponents. Therefore, this is the source data for effective planning on company-customer relations.
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The first data analysis method for studying CRM is by interviewing the customers and comparing their responses to the predetermined expectations. For instance, the researching team may approach the clients in a neutral state and ask questions regarding its products and substitutes and their opponents. Studying the results gives an excellent overview of its rating in the market ( King, 2016) . Additionally, the company may opt to analyze the market interaction through questionnaires. The obtained results may also be analyzed by computer software such as SPSS and STATA to get the actual correlation between customer satisfaction and its market rating.
In conclusion, human resource management in a company’s research is vital. Additionally, the investigative areas are numerous. Again the right analysis of the data is essential for substantial results and policy implementations.
References
Oge, G., & Topaloglu, M. (2018). Using the Big Data in the human resources management systems. Global Journal of Information Technology: Emerging Technologies , 8 (3), 129-133.
King, K. G. (2016). Data analytics in human resources: A case study and critical review. Human Resource Development Review , 15 (4), 487-495.
