A flexible implementation, tailored to your specific needs which means that for instance you can start with purging of less relevant data such as journal data and continue afterwards with relevant data that is subject to regulatory compliance.
Step 1: An analysis to determine your top slowest queries and related data entities. Determine for each data entity the specific purging and or archiving requirements in relation to regularity compliance. Based on the analysis information we create a concrete action plan and effort indication.
Step 2: The actual implementation starts with a baseline benchmark to measure the performance of the top slowest queries. After the installation and the first run, a new benchmark allows you to compare it to the previous benchmark.