Entity Resolution: The Key to Customer 360

This talk covers how teams are creating customer 360s using entity resolution.

Combining data from different systems or databases to create a customer 360 presents various difficulties. For example, not every system will have a shared ID or key that allows you to uniquely identify a person. Using entity resolution, we can use the various pieces of data to identify a person.

Main Takeaways:

Entity resolution is essential for creating accurate customer 360s.

Understanding the challenges of data quality, multiple identifiers, data silos, and data privacy is crucial for successful implementation.

Entity resolution techniques can help identify and match customer records, resolve data inconsistencies, integrate data from multiple sources, and address data privacy concerns.

Real-world examples provide valuable insights into the practical application of entity resolution in building customer 360s.

Link to full talk - Creating Customer 360s Using Entity Resolution: https://2024.connected-data.london/ta...

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Jesse Anderson, Data Engineer, Creative Engineer, and Managing Director of Big Data Institute.

Jesse mentors companies all over the world ranging from startups to Fortune 100 companies on Big Data. This includes projects using cutting-edge technologies like Apache Kafka, Apache Hadoop, and Spark.

He is widely regarded as an expert in the field and for his novel teaching practices. Jesse is published on Apress, O’Reilly, and Pragmatic Programmers. He has been covered in prestigious publications such as The Wall Street Journal, Harvard Business Review, CNN, BBC, NPR, Engadget, and Wired.

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