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Embrace Progress: Data Automation Will Evolve
Future automation in data analytics and operations will require human oversight in the near term but promises substantial integration of systems. Successful and failed transaction data, when properly analyzed, can reveal valuable insights regarding data quality and system efficiency. A key component of this progression is data observability, which highlights conditions that indicate system success or failure, thus paving the way for a more interconnected analytical framework.