dbt vs. Fiserv Wealth Management Network

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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Fiserv Wealth Management Network is well suited in scenarios where an organization has multiple financial services providers and would like the benefit of tying that all together and managing it from a single, unified solution. The benefit there is increased efficiency and productivity, especially when compared to the manual alternative of having managers log in to separate sponsor platforms.

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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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• R&D is fantastic as they have the resources
• Online resources to help figure things out
• Easy to navigate

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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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• Cost ... it's definitely not the cheapest option out there. the way pricing is itemized and a separate upcharge for each add-on gets annoying. They can probably bundle things a little better and offer a discount on the bundled products
• the volume of system updates and changes is nauseating at times and we have to prepare and test accordingly every time there is a scheduled update. that takes up a lot of resources; quarterly updates to products would be much easier.
• more responsive support and ideally more stable support engineers ... it seems like turnover is high in their support roles and that impacts customer success and MTTR.

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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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Far superior in my opinion. More features, easier to navigate and superior customer service

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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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• Speed of service is greatly improved across partners. I believe our MTTR for service requests has improved by 30-40%
• Standardized platform for our staff which translates to better retention and a lower training effort.
• Cost is the negative impact ... it goes without saying that using Fiserv is much more expensive to the manual alternative which is very human resource intensive but low cost. But that's to be expected ...we're just trading time for money.

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