Hi Izaias,
Thank you for sharing this idea. Could you elaborate a bit on the business use case or workflow you’re trying to optimize? I’m curious how this differs from managing multiple datasets, each with its own matching model and query configuration.
Hi.
The idea is to consolidate everything into one place so that the results
are all on the same page, eliminating the need to watch for warnings
(since the records were previously merged) or waste time reviewing
duplicates multiple times. The workflow I'm trying to optimize involves a one-time
deduplication of records with very specific characteristics, where I
identify these characteristics as I go. This process can be expedited by
modifying the query. However, when I do that and use multiple datasets,
I cannot keep track of what was merged into another dataset.
Currently, we have a limit on the number of matching models, which also isn't helpful in this regard.
Izaias Neto
The idea is to be able to pair specific matching models with specific queries and run them concurrently to save time. This would enable specific matching models to target data that fits certain criteria while also effectively allowing multiple simultaneous analysis jobs. I would also like to be able to add more than three matching model & query pairs to the same dataset in order to streamline my workflow.