Data quality should be a key focus of that tailoring process. You'll need to pay attention to customer information that originates inside the CRM and the supporting data imported from other systems, such as finance or service desk tickets. Ensuring this data is "clean" means it needs to be verifiable, in the proper import format, and directly on-target to the CRM's queries. A study published in 2022 by Validity surveyed more than 600 CRM-using organizations globally. When asked how CRM data impacted sales, 75% of respondents said that poor quality data had cost their firms customers. Another 44% estimated their businesses had lost at least 10% in annual revenue that was directly attributable to bad CRM data (see graphic below). Estimated Annual Revenue Impact of Poor-Quality CRM Data Ensuring good data quality is a matter of testing and constant vigilance. You'll need to run regular and repeatable tests on your system. Depending on the size of your staff and your CRM investment, the Validity report recommends you should also consider appointing a data management professional as the lead on keeping your CRM data clean. That person should manage the entire data flow, including not just your CRM but any apps connected to it. They should also handle the full spectrum of data management tasks, including automating data workflows, data protection, and backup. If you feel such a hire is in your future, you should pull that person in as early as possible, preferably at the evaluation stage before you purchase anything.