Boost HR Efficiency in FMCG/Manufacturing with ERP Analytics

Boost HR Efficiency in FMCG/Manufacturing with ERP AnalyticsBoost HR Efficiency in FMCG/Manufacturing with ERP Analytics

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Moses Abu

• Jun 15

ERP Impact on HR Operational Efficiency in FMCG/Manufacturing

For this project, I designed and managed a comprehensive research survey to evaluate the impact of ERP/HRMS systems on HR operational efficiency within the FMCG and manufacturing sectors.

My responsibilities included survey questionnaire design, respondent targeting, survey distribution, response recruitment, data collection, and response monitoring. The survey was carefully structured to gather reliable insights from professionals with relevant industry experience and educational backgrounds.

Key Deliverables: • Professional Google Forms survey design • Targeted participant recruitment • Quality response collection • Data organization and management • Research-ready survey results

The project successfully generated qualified responses, providing valuable data for academic and business research. The collected insights helped support analysis on workforce management, process automation, operational efficiency, and the effectiveness of ERP systems in HR functions.

Services Provided: ✅Survey Design ✅Survey Distribution ✅Response Recruitment ✅ Academic Research Support ✅Market Research ✅Data Collection ✅ Questionnaire Development

Need help designing a survey and recruiting quality respondents for your research project? Message Me Now To Get Started. #surveydesign #surveyresponses #responserecruitment #academicresearch #marketresearch #datacollection #questionnairedesign #researchsurvey #googlesurveys #researchproject #surveyexpert #businessresearch #researchsupport

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Daramola Ayomide

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Retail Banking Analytics: Optimizing Customer Engagement and Business Performance

This project focused on analyzing retail banking data to uncover customer behavior patterns, product adoption trends, and opportunities for business growth. Through exploratory data analysis and visualization, key factors influencing customer engagement and banking product usage were identified.

The objective was to transform raw banking data into actionable insights that can support strategic decision-making, improve customer retention, and optimize product marketing efforts.

Key Features

• Customer segmentation and behavioral analysis

• Product adoption and usage trend evaluation

• Identification of high-value customer groups

• Data-driven insights for targeted marketing strategies

• Interactive visualizations to support decision-making

Business Impact

The analysis helps financial institutions better understand customer needs, identify growth opportunities, and develop more effective customer acquisition and retention strategies.

Technologies

Python • Pandas • NumPy • Data Visualization • Statistical Analysis • Business Intelligence