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Their skills ranged from Graphics and UI/UXDesign to Full-Stack Web Development and Business Operations. My specialty was dataanalysis. There were two teams of five data analysts. My team had to build a cost-of-living analysis application for cities worldwide. We had to complete a group assignment.
Implementation tip: Run joint Exploratory DataAnalysis (EDA) sessions with data scientists and domain experts to identify missing business-critical information, ensuring AI models work with a complete and meaningful dataset, not just statistically clean data. Note: Unless noted otherwise, all images are the authors.
This linguistic diversity has enabled programmers to tackle various tasks, from web development and dataanalysis to system-level programming. Cross-functional teams often include product managers, UXdesigners, and multiple software engineers.
Technical Understanding Familiarity with development processes, UXdesign, and coding principles enables POs to communicate effectively with technical teams and make informed decisions about product feasibility. ROI Management The ability to assess and prioritize features based on their potential return on investment is critical.
However, as of now, unleashing the full potential of organisational data is often a privilege of a handful of data scientists and analysts. Most employees don’t master the conventional datascience toolkit (SQL, Python, R etc.). All images are by the author. Enjoy this article? Sign up for more AI research updates.
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