Maintenance includes a continuous process of enhancements and updates. For example, you might find that your organization no longer needs to track specific metrics. In that case, you’ll need to deprecate them and add new, more relevant metrics. It could also include revising ETL processes or incorporating advanced analytics capabilities.
Retirement
At some point in the lifecycle of your data warehouse, there may arise a need for retirement or archiving, marking the culmination of its operational journey. This stage is as crucial as any other in your taiwan whatsapp number data Data Management strategy and requires careful planning and execution. For example, your data warehouse may have become obsolete due to changes in business requirements, technological advancements, or organizational priorities. Regardless of the rationale, you can move forward with a well-structured plan, once it is established.
Preservation of data lies at the heart of this stage. industry data retention policies and compliance regulations. This entails identifying what data needs to be retained, for how long, and in what format. Archiving historical data in a structured and accessible manner is essential for compliance and future auditing.