Compare CLEAN_Data vs. D&B Connect

CLEAN_Data offers a comprehensive suite of enterprise data quality solutions aimed at effectively managing the dynamic and complex profiles of contact information for employees, customers, vendors, students, and alumni. These solutions are essential for maintaining the integrity of your organization's data. Regardless of whether your data processing occurs in real-time, through batch methods, or by linking different data systems, Runner EDQ provides a trustworthy integrated solution that meets your needs. Specifically, CLEAN_Address serves as the integrated address verification tool that standardizes and corrects postal addresses across various enterprise systems, including Oracle® and Ellucian®, as well as ERP, SIS, HCM, CRM, and MDM platforms. Our integration ensures that addresses are verified in real-time during data entry and also allows for the correction of existing records through batch processing and change of address updates. This real-time verification capability enhances the accuracy of address entries on all relevant pages within your SIS or CRM, while the integrated batch processing feature helps in rectifying and formatting your current address database effectively. Through these capabilities, organizations can significantly enhance their data quality and operational efficiency.

Your first-party data can be used to unlock its full potential. D&B Connect is a self-service, customizable master data management solution that can scale. D&B Connect's family of products can help you eliminate data silos and bring all your data together. Our database contains hundreds of millions records that can be used to enrich, cleanse, and benchmark your data. This creates a single, interconnected source of truth that empowers teams to make better business decisions. With data you can trust, you can drive growth and lower risk. Your sales and marketing teams will be able to align territories with a complete view of account relationships if they have a solid data foundation. Reduce internal conflict and confusion caused by incomplete or poor data. Segmentation and targeting should be strengthened. Personalization and quality of marketing-sourced leads can be improved. Increase accuracy in reporting and ROI analysis.