Creating Customer 360s Using Entity Resolution
A Talk by Jesse Anderson (Data Engineer, Creative Engineer, Managing Director, Big Data Institute)
About this Talk
This talk will cover 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.
About The Speakers
Data Engineer, Creative Engineer, Managing Director, Big Data Institute
Jesse Anderson is a Data Engineer, Creative Engineer, and Managing Director of Big Data Institute. He 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
We’re a cloud tech company that provides organisations around the world with computing infrastructure and software to help them innovate, unlock efficiencies and become more effective. We also created the world’s first – and only – autonomous database to help organise and secure our customers’ data.
