The Gemineye team is here to bust a myth that can seriously hamstring credit unions and community banks in the early stages of building out or updating their analytics strategy. Does your data warehouse have to be hosted where your core lives? The answer is a solid no.

The Gemineye Team Explains Why Your Data Warehouse Need Not Live with Your Core

Gemineye crew Matt Jefferson, COO and Maggie Chopp, Director of Business Development, discuss why your data warehouse doesn’t need to (and shouldn’t) live in the same place as your core. The evolving landscape of data warehouse hosting, cloud-based analytics, and best practices for modern bank and credit union data architecture prove that this concept in indeed a myth. For example, most cores are built on 15-year-old technology and it simply doesn’t make sense to base your technology decisions off was developed over a decade ago.

So whether you’re modernizing legacy systems or building new data strategies, this conversation provides critical information to know before you make a decision on where your data warehouse should reside.

Key Takeaways in this Video Include:

• The limitations of on-premise data warehouses in today’s environment
• Why most modern core systems are cloud-based and the importance of embracing this trend
• The misconception of co-locating your data warehouse with your core systems
• The benefits of selecting best-of-breed cloud solutions versus integrated on-premise setups
• How data warehousing differs fundamentally from core application hosting
• The impact of legacy technology on future business agility

Full Transcript

Alicia Disantis (00:00)
Okay, so Matt, should your data warehouse be hosted wherever your core lives? So for example, on premise, co-hosting, etc.

Matt (00:11)
Yeah, I think today most most cores are not cloud based and even the newest cores are at least 15 years old, right?

So if if you’re really basing your technology decisions on on stuff that was developed 15 years ago plus right, that’s not going to be a good decision for your business going forward, right? Most of the modern analytics AI platforms are cloud based and all of those are getting new updates and things.

So you really want to embrace kind of the best of breed technology. And unfortunately, you can’t install that technology where your core sits, right?

In a physical data center, sitting somewhere in the middle of the country, right? They’re cloud-based. So I would say it doesn’t really matter.  That thought process really has kind of gone by the wayside. You really pick the best of breed in general. And from an analytics perspective, AI perspective, that is cloud-based.

Maggie Chopp (01:06)
And Alicia, I’d add, I think we’ve heard it a few different ways.

Think one of the things that sort of sounds advantageous is having both those things in the same place is like parking two cars in the same garage.

But we’d argue that data warehousing is fundamentally pretty different from the goal of your core.

And like Matt said, you want to pick best of breed anyways. And so we think that again, you should pick the best application for the best use and data warehousing is very unique in that way.

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