Most organizations have a lot of data quality issues where there is a wealth of possible solutions to deal with these challenges.
What you usually do is that that you categorize the problems into three different types of best resolutions:
You could go ahead with solving the data quality problems today but probably you have better and more important things to do right now.
Your organization may have a global SAP rollout going on or other resource demanding implementations. Therefore it is most wise to deal with the data quality issues when everything is running smoothly.
Maybe a resolution has been tried before and didn’t work. Chances that alternate people management, different orchestration of processes and development in available technology will change that are very slim.
Many problems solve themselves over time or hopefully don’t get noticed by anyone. If things get ugly you always have your lightsaber.