Folly Akakpovi
About Folly Akakpovi
Folly Akakpovi is an Analytics Engineer at Not So Dark, known for his expertise in building and managing the company's Whaly instance and ensuring high-quality data standards.
Folly Akakpovi - Analytics Engineer
Folly Akakpovi holds the position of Analytics Engineer. In this role, he is integral to the structure and functionality of Not So Dark's data systems. His responsibilities include building and maintaining data models within the data warehouse, ensuring data accuracy and quality, and handling topics related to data collection and cleanliness. He collaborates closely with Data Analysts, aiding in the translation of raw data into actionable business insights.
Builder of Not So Dark's Whaly Instance
Folly Akakpovi is recognized as the main builder of Not So Dark's Whaly instance. His work on Whaly involves setting up and managing a system designed to handle the company's data needs. This instance plays a critical role in how data is collected, processed, and utilized within Not So Dark, enabling streamlined operations and better data-driven decision-making processes across business units.
Folly Akakpovi's Role in Creating Data Models
In his capacity as Analytics Engineer, Folly Akakpovi is responsible for creating data models within the company's data warehouse. These models are crucial for structuring and organizing data in a meaningful way, facilitating efficient data retrieval and analysis. His work ensures that the data models are robust and scalable, supporting the growing needs of Not So Dark.
Ensuring Data Quality and Accuracy
One of Folly Akakpovi's key responsibilities is ensuring the accuracy and quality of data at Not So Dark. This task involves diligent oversight of data collection processes and implementing measures to maintain data cleanliness. His commitment to data integrity helps prevent errors and ensures that business insights derived from data are reliable and precise.
Collaborating with Data Analysts and Business Teams
Folly Akakpovi works closely with Data Analysts to bridge the gap with business teams. This collaboration is vital for helping business units understand and utilize data effectively. By aiding in the construction of dashboards and the visualization of data, he empowers teams to make better-informed decisions and enhances the overall data literacy within the organization.