Bilingual Data Management Optimization

Bullseye Ai is seeking to enhance its data management processes to improve efficiency, accuracy, and accessibility. The current data environment is fragmented and inconsistent, leading to operational inefficiencies and communication barriers. This project aims to conduct thorough audits of existing data, normalize databases, and implement automation tools to streamline data management. Additionally, the project will ensure that all data is accessible in both French and English, thereby improving communication and service delivery. The ultimate goal is to create a more consistent and efficient data environment, leading to improved data quality, increased operational efficiency, and better customer satisfaction. Key tasks include: - Conducting a comprehensive audit of current data management processes. - Normalizing and standardizing databases. - Implementing automation tools for data management. - Translating and ensuring bilingual accessibility of all data.