dbt vs. SAP Process Control

The prerequisite is that you have a supported database/data warehouse and have already found a way to ingest your raw data. Then dbt is very well suited to manage your transformation logic if the people using it are familiar with SQL. If you want to benefit from bringing engineering practices to data, dbt is a great fit. It can bring CI/CD practices, version control, automated testing, documentation generation, etc. It is not so well suited if the people managing the transformation logic do not like to code (in SQL) but prefer graphical user interfaces.

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In my opinion, SAP Process Control is well suited for bigger companies with an already mature Internal Control System as well as for bigger companies who want to completely new/redesign the internal control system. The size of the company, as well as the budget, is quite important when thinking about the implementation of SAP Process Control. A smaller company with e.g., 150 people should think more about implementing SAP FCM.

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• dbt supports version control through GIT, this allows teams to collaborate and track the data transformation logic.
• dbt allows us to build data models which helps to break complex transformation logic into simple and smaller logic.
• dbt is completely based on SQL which allows data analyst and data engineers to build the transformation logic.
• dbt can be easily integrated with snowflake.

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• Native connection to SAP applications
• Automated monitoring process of SAP applications
• Workflow capabilities for control testing

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• Field-level lineage (currently at table level)
• Documentation inheritance - if a field is documented the downstream field of the same name could inherit the doc info
• Adding python model support (in beta now)

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• Default delivery of controls could be done by SAP on some basic controls like client openings, password controls, etc
• The messaging or customization of messages in different workflows is limited, which could be introduced to enhance the product
• SAP Process control does not have the capability for cloud product monitoring which is required with more SAP cloud products available right now

dbt is very easy to use. Basically if you can write SQL, you will be able to use dbt to get what you need done. Of course more advanced users with more technical skills can do more things.

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I actually don't know what the alternative to dbt is. I'm sure one must exist other than more 'roll your own' options like Apache Airflow, say, bu tin terms of super easy managed/cloud data transforms, dbt really does seem to be THE tool to use. It's $50/month per dev, BUT there's a FREE version for 1 dev seat with no read-only access for anyone else, so you can always start with that and then buy yourself a seat later.

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The connectivity with other SAP products out of the SAP GRC suite, like Access Control and so on, was key for the decision. Also we had an already mature SAP System landscape as well as having internal processes that were similar to the SAP Process Control standard processes helped us with the decision to implement SAP Process Control.

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• Simplified our BI layer for faster load times
• Increased the quality of data reaching our end users
• Makes complex transformations manageable

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• Automated alerts for controls issues
• Workflow capabilities; however, there's natively only 2 levels of review. More layers would be beneficial.

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