The best way to evaluate your data integration and process standardization is by establishing the quality of your data. This can be done by implementing metrics such as: - Ratio of Data to Errors - Number of Empty Values - Email Bounce Rates There are some other metrics that can be defined but not exactly determine the quality of your data, but rather their usefulness and cost to upkeep. Data Storage Costs are important to evaluate over time. If you are keeping some data that is rarely used and costs a lot to maintain in your servers, it's time to determine if it's feasible and/or viable to keep it that way, change it, or drop it altogether.