Compare AWS Entity Resolution vs. D&B Connect

Establish entity resolution workflows in just minutes instead of taking months to finalize. Set up sophisticated matching techniques tailored to enhance data accuracy according to your specific business requirements. Safeguard your data and limit its transfer by accessing records at their source. AWS Entity Resolution enables you to identify and connect related records without the necessity of creating custom solutions. Leverage adaptable, customizable machine learning (ML) and rule-based methods to fine-tune record matching based on your business objectives. Eliminate duplicate records for more effective information analysis, prepare your data for artificial intelligence (AI) model training, and boost your overall business performance. By utilizing unified insights, you can deliver more pertinent experiences across your advertising and marketing efforts, customer support interactions, loyalty programs, and ecommerce activities. Additionally, link SKUs, UPCs, or proprietary product identifiers into a cohesive product record to enhance tracking across various stores and supply chains, fostering a more integrated approach to inventory management. Ultimately, this streamlined process not only enhances data integrity but also drives strategic decision-making across your organization.

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.