Big data projects have significant potential but are complex and can face several challenges affecting their performance. Key factors include avoiding unnecessary data transfers, ensuring network scalability, identifying relevant data, and fostering a data-driven culture. Addressing these factors can help optimize the project's success and facilitate quick insights.