Final Answer:
This 90-day timeframe aligns with industry best practices, providing a comprehensive data history for reporting, compliance, and strategic planning. Therefore, The correct option is c) 90 days because this duration strikes a balance between the need for immediate analysis in the first 30 days, allowing for prompt issue resolution, and the subsequent 60 days, which enable more in-depth trend analysis and long-term pattern identification.
Step-by-step explanation:
Synthetic transaction data is stored and retained for a period of 90 days. This duration strikes a balance between the need for historical data analysis and the practical considerations of storage capacity and data management efficiency.
In the first 30 days, the data is crucial for immediate analysis and identification of any anomalies or issues in the system. This initial period allows for prompt response and resolution. The subsequent 60 days serve as a valuable window for conducting more in-depth trend analysis, performance evaluation, and long-term pattern identification.
The 90-day retention period aligns with industry best practices, providing organizations with sufficient data for comprehensive reporting and compliance requirements. This timeframe accommodates various needs, from short-term troubleshooting to long-term strategic planning. Additionally, it considers the resource implications of storing large volumes of synthetic transaction data.
Beyond 90 days, the diminishing returns in terms of actionable insights, coupled with the increasing storage costs, make a 90-day retention period a pragmatic and effective choice for organizations leveraging synthetic transaction data for monitoring and optimization purposes.