DSharp Scout for Data Vault practitioners
A governed AI front desk on top of any Data Vault implementation – turning your models into a business-ready semantic layer.
DSharp Scout is the front desk of your customers’ Data Vault–based data platform. It uses the DSharp Pathfinder to map hubs, links, satellites, and marts into a semantic web of business concepts, metrics, and rules that both people and systems can use.
You ask in your own words – Scout brings back something you can actually use.
- No new platform or rebuild – runs on top of your customers’ existing Data Vault
- Turns the models you’ve already delivered into one shared semantic layer
- Built to help consulting teams create more value and services on top of Data Vault
What Scout does on top of your Data Vault
Think of DSharp Scout as the place you go when you don’t just want links or table names – you want the system to think with you using your Data Vault logic.
Find (when you don’t know where to look)
- “Which hubs, links and satellites feed the ‘Net Revenue’ KPI in this report?”
- “Which marts are reusing this business rule?”
Explain (when you don’t fully trust or understand the number)
- “What does ‘Active Customer’ really mean, and which satellites does it use?”
- “Why did EBITDA drop in Q2 according to the Data Vault, and what are the main drivers?”
Act (when you want to get something done)
- “Help me start a query for this KPI using our canonical vault structures.”
- “Flag reports that are not using the governed ‘Net Revenue’ metric.”
Same entry point, three kinds of help – all grounded in your Data Vault.
What we mean by “Front desk for your Data Vault & AI”
At a real front desk you don’t need to know which department handles what. You just explain what you need.
DSharp Scout does the same for your Data Vault–based information:
- You ask a question or describe a task.
- Scout uses the ontology built on top of your Data Vault to understand what you’re really trying to do.
- It goes to the right vault structures, marts, systems and past work.
- It returns an answer, draft or next step in plain language – with a clear explanation of how it was derived.
You don’t choose hubs, links, tools, APIs or bots. You just ask once – Scout does the routing.
What Scout means for your Data Vault consulting business
For consulting firms, Scout is a way to:
Create new offerings on top of existing projects
Offer a “Scout layer” on top of Data Vault platforms you’ve already implemented without rebuilding anything.
Increase recurring revenue and stickiness
Move from one-off implementation to ongoing, semantic + AI services that customers renew because business users rely on them.
Protect your neutrality
Scout is vendor-neutral and runs across warehouses and BI tools, so you don’t have to align your business with a single cloud or platform vendor.
Scale your senior consultants
Encode hard-won semantic rules and patterns into the ontology once, then let teams re-use them across customers and domains.
Start with the Data Vaults you’ve already delivered
You don’t need to start from a blank page. DSharp Pathfinder reads the structures that are already in place at your customers – hubs, links, satellites, PITs and information marts – and gets a living map of how each Data Vault environment is organised.
If you’re using DSharp Studio, we can introspect the model directly for an even richer jump-start. But Scout is designed to run on top of any Data Vault implementation, regardless of tooling or cloud.
That means you can go back to existing customers and:
- add a governed semantic/AI layer on top of the vaults you already built
- improve adoption and trust without touching the underlying platform
Interested in hearing more?
Ready to unlock more value from the Data Vault environments you’ve already delivered – without changing the stack?
Schedule a “Scout for Data Vault practitioners” session and explore how DSharp Scout can turn your existing models into a governed, AI-ready front desk for your clients and stakeholders.
Ville-Matti Koskinen
Senior Growth & Expansion Advisor
DSharp.fi