However, maintaining high-quality data within job seekers database a CRM can be a daunting challenge. Thousands of records and hundreds of data fields add up to an unending number of potential data issues throughout CRM databases.
Common CRM data quality issues include duplicate records, inconsistent data formats, incomplete or missing information, missing associations between related records, and the presence of outdated or erroneous data. These problems can lead to inefficiencies, lost opportunities, and damage to relationships when customers have a poor experience with your company.
But many popular CRM platforms lack robust data management tools capable of comprehensively addressing the myriad data quality issues that businesses face. While these platforms may offer some features for addressing specific problems, those features are built for the most widespread use cases. Companies with unique data problems are left scrambling to find a solution to their niche issues.
Ultimately, many CRM data problems can only be solved manually, and this is true both for common problems and those unique to your organization. As a result, companies spend hours of manual effort and huge amounts of mental energy, impacting morale and driving up labor costs, without getting closer to a reliable solution that can scale with them.
But there is a better way. Companies should look to CRM-integrated data management apps to help them address these problems in bulk and allow their teams to focus on more strategic issues, rather than defaulting to slow, manual, culture-killing data maintenance tasks.
