A STUDY ON CONSUMER BEHAVIOUR TOWARDS AYURVEDIC PRODUCTS

Abstract

Data-driven strategies in the designing of competitive compensation and benefits frameworks are required by the evolving corporate environment. This abstract explores insights derived during a summer internship at Mercer, a global leader in human resource consulting, in the Survey Administration department. The internship focus was on the analysis of compensation and benefits data to identify trends, derive actionable insights, and recommend strategic approaches to organizations seeking to optimize their talent management practices. It starts with collecting and cross-checking available data from those sources relating to compensation and benefits of relevant organizations. The importance is the fact that correct information as well as completeness will retain further analysis reliable. Data collected there was accordingly applied in exploratory exercises to research pay ranges, total rewards packages, and market positioning applying sophisticated data analysis. Thereafter, prepared data has to be worked upon for detecting trends as comparisons between industry, locality, or the structure. One of the significant goals was to gain a deeper understanding of the prevailing pay and benefit trends, particularly the external drivers of inflation, work rules for remote, and the well-being concern. For instance, the studies revealed an increase in non-cash benefits in work hours flexibility, mental health assistance, and learning opportunities. All these point to changing worker values. Hands-on exposure in the form of Mercer's proprietary methodologies about benchmarking and evaluating organization-specific compensation structures was also facilitated during the internship. Comparative analysis allowed organizations to understand market position vis-à-vis competition peers. Pay equity, parity on gender, and vi industry sector competitive information was provided to help in taking appropriate strategic decisions. The project also involved the presentation of findings into reports that clients could utilize, with clear and helpful recommendations. For example, organizations that were behind the curve in offering competitive pay were advised to improve their benefits or adjust their salary plans to attract and retain top talent. Organizations with good pay strategies were encouraged to focus on being different by using employee-focused policies and improving engagement efforts. This internship highlighted the role of data-driven insights in compensation and benefits strategy development. The ability to interpret data and present findings effectively to stakeholders was a key learning outcome. The experience also emphasized the role of survey administration in bridging the gap between organizations and evolving workforce expectations. This showed the financial pay that was very important for happy employees. However, these times also see non-cash benefits and company culture playing important roles in attracting and retaining good workers. The approach allowed clear visibility into how pay and benefits work together to place significant importance on matching them to organizational goals and what employees want. ● This was done in Mercer, Survey Administration department, looking at pay and benefits information to aid talent management plans. ● Data Collection & Validation: Ensured the accuracy of the data collected and leveraged innovative tools to analyze salary ranges, total rewards, and market positioning. ● Trends driven by inflation, remote work, and employee well-being indicate shifts in the direction toward benefits that are not strictly monetary, such as flexible hours and mental health support. vii ● This comparison between organizations will utilize the methods of Mercer concerning market performance, pay equity, and gender fairness. ● Provided ready-to-use reports with clear recommendations to clients for improving pay strategies and engaging employees. ● Gained skills in HR analytics, understanding data, and clear communication, which underscores the need to use data to make decisions about pay systems. In conclusion, the internship at Mercer's Survey Administration department gave useful knowledge about how compensation and benefits analysis work. It allowed me to work with data, identify trends, and create strategic recommendations, helping me understand the importance of HR analytics in making organizations successful. This experience shows how important it is to use data to improve compensation strategies in a fast- changing business world.