Entity Fusion Engine

Entity Fusion Engine improves database integrity by leveraging AWS-native services to identify and unify duplicated records across datasets. It provides efficient identification and merging of repeated records which improves Database Integrity by Unifying Redundant Entities. It enables organizations to create a unified and accurate view ot their data by detecting and merging duplicate or fragmented records, improving information quality and supporting better desicion making.

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• Data Preprocessing & Standarization: Use AWS Glue to clean and standardize the data to ensure consistency across records.
• Entity Matching & Data Merging: Leverage Data Matching Service – AWS Entity Resolution to group records that represent the same real-world entity. Obtain thresholds for similarity to determine when to merged. Merge identified duplicate records into a single unified entity.
• Quality Assurance and Data Export: Conduct a validation process to ensure that process has not introduced errors or lost valuable information. Create unified dataset with golden record. Store the final datasets (primary and secondary) securely in Amazon S3 for easy access and integration with downstream systems.
• Monitoring: Set up monitoring tools such as Amazon CloudWatch or AWS Lambda to track new duplicate records that may emerge as the dataset evolves.

• Golden Record Dataset: Primary dataset with unified entities containing the most accurate information for each field. Secondary dataset containing additional contact details associated with the unique records in the primary dataset.
• Duplicate Detection Report: Detailed report providing insights into the duplicates detected, with metrics as the number of duplicates found and merged. Report that evaluates the quality of the merged data post-unification.