Inefficient pipeline refresh scheduling occurs when data refresh operations are executed more frequently, or with more compute resources, than the actual downstream business usage requires.

Without aligning refresh frequency and resource allocation to true data consumption patterns (e.g., report access rates in Tableau or Sigma), organizations can waste substantial Snowflake credits maintaining underutilized or rarely accessed data assets.