How do you actually do that? When you have data that is siloed across multiple systems, how do you analyze and report on it for multiple audiences, while ensuring that you customize those processes for each group and/or use case you need to support? And how do you do all of this without a tremendous amount of manual effort?
An efficient solution is a technique known as mexico whatsapp number data reverse ETL. Reverse ETL (ETL stands for extract-transform-load) is the process of moving data that you’ve already processed and pushed out to a data lake or warehouse back into the business application where the data originated.
For example, using reverse ETL, you could pull from your data lake two sets of information – one that originated from Salesforce and another from Workday – and ingest them back into Workday. You can then report on this data through Workday.