Compare CleanSmart vs. D&B Connect

CleanSmart is an innovative platform that leverages AI technology to facilitate data cleaning for Marketing Ops, RevOps, and SalesOps teams, enabling them to obtain accurate and dependable data without the need for coding or juggling various tools. With a single cleaning operation, users benefit from features like SmartMatch, which utilizes semantic AI to identify and merge duplicate entries, AutoFormat that ensures uniformity in phone numbers, emails, and addresses, SmartFill that anticipates and populates missing information, and LogicGuard, which identifies anomalies and impossible data entries. Users can seamlessly connect with platforms such as HubSpot, Salesforce, Mailchimp, Klaviyo, or Shopify, or they can simply upload a CSV file. Each modification made in the system is meticulously recorded, complete with confidence scores and a comprehensive audit trail, empowering teams to maintain control over the data modifications. The process eliminates the need for data engineers, avoids custom scripts, and removes the hassle of manual cleanup, resulting in a straightforward experience that delivers clean, analysis-ready data. Additionally, CleanSmart's user-friendly interface ensures that teams can focus on their core tasks rather than getting bogged down by data issues.

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.