Data Collection:Manually collect data from various sources, including websites, databases, and other relevant platforms.Conduct thorough research to identify and source high-quality data that aligns with Fresh Futures’ objectives.Data Cleaning & Verification:Clean and preprocess data to ensure it is free from errors, inconsistencies, and duplicates.Verify the accuracy and completeness of data through double-checking and cross-referencing with reliable sources.Data Maintenance:Regularly update existing datasets to ensure they remain current and relevant.Monitor data sources for any changes or updates that may affect data quality.Data Enhancement:Identify opportunities to enhance data quality by finding additional relevant data points.Collaborate with other teams to integrate new data sources seamlessly into existing databases.Quality Assurance:Implement and adhere to data quality standards and best practices.Conduct regular audits and reviews of data to maintain high levels of accuracy and integrity.Collaboration & Communication:Work closely with data engineering and analytics teams to support their data needs.Communicate data quality issues and provide recommendations for improvement to relevant stakeholders.Continuous Improvement:Stay updated with the latest data collection and cleaning methodologies.Propose and implement process improvements to enhance data quality and operational efficiency.
