One effective approach for managing floating-point precision is using relative comparisons or epsilon comparisons. This involves comparing the absolute difference between two floating-point numbers with a small epsilon value, rather than comparing them directly. Additionally, utilizing data types like BigDecimal in Java or Decimal in Python can offer higher precision when dealing with financial or critical calculations to mitigate rounding errors.