In the dynamic landscape of modern business, effective data management is key to success. Finding the right management style can significantly impact how organizations handle the influx of data. Recently, on the Finding Solutions Channel, Tom, Parker, and Ben explored the concept of “management by exception” and its potential to revolutionize data management in the workplace.

Management by exception is a philosophy that centers on allowing employees to punch in or out, even if there are exceptions or missing data. These anomalies are flagged for review at a later time, minimizing disruptions and enabling employees to focus on their work. In contrast, the gatekeeper system can create bottlenecks, leading to potential time fraud by not only the employee but also by supervisors. A gatekeeper system leads to manually entered time and/or frequent time adjustments – leaving room for time rounding, manipulations and fraud.

The hosts also highlighted the role of large language models in transforming data management. These intelligent tools can identify trends and anomalies that might be difficult to detect using traditional algorithms, providing valuable insights to inform decision-making. By embracing the concept of managing by exception, businesses can optimize efficiency and prevent fraud without the need for complex AI systems. This approach offers a seamless interface, enabling managers to access relevant data easily and make informed decisions.


Adopting management by exception as a data management approach holds the promise of streamlined operations and increased productivity in the workplace. As technology continues to advance, businesses can leverage this style to stay ahead in an ever-evolving market.

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