Data resolution with AWS Entity Resolution
The best way to explain this topic would be to take the example of data at GreatFin, the example company we have been using in this book for use cases. GreatFin has data coming in from multiple LOBs. All LOBs have overlapping customer information. Sometimes, customers update details with one LOB but other LOBs don’t always see that update. This eventually creates a web of conflicting information across the enterprise where a golden version of truth for a customer or any other entity doesn’t exist. This is where inaccuracies arise in the operational systems as well as in the analytical environments. All organizations strive to create a golden or a master copy of their entities.
The following figure highlights the efforts of organizations to create a golden copy of the entity from across multiple sources of data:
Figure 14.41 – Entity resolution process
Let’s introduce the service...
