We recommend the right platform, not our platform.
D Data Solutions is a boutique advisory for enterprises deciding where their data and AI workloads should live. We have no reseller margins and no partner quotas. We assess your estate, put a recommendation in writing, and build what we recommend.
Big-firm capability.
Boutique accountability.
01What we do
Six disciplines, one governed estate
Advisory comes first. Everything we build flows from a recommendation we were willing to put in writing.
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Data & AI Strategy
Roadmaps tied to business cases, not technology wish lists. Operating models, funding cases, and a sequence your board can hold you to.
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Platform Modernization
Honest assessments and migration plans. We design coexistence architectures where each platform does what it is genuinely best at.
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Data Engineering
Lakehouse and warehouse builds, medallion pipelines, batch and streaming ingestion. Engineered for handover, not dependency.
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Analytics & BI
Semantic models people trust, reporting estates rationalized down to what gets used, and self-serve that finance will sign off on.
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Data Science & ML
Use cases selected for value and feasibility, models shipped to production, and the discipline to keep them there.
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Governance & Trust Runs through all of the above
Cataloging, lineage, access control, and data quality. Governance designed into the platform from the first pipeline, not bolted on for the audit.
02How we work
Assess, architect, deliver
Every engagement follows the same discipline, because skipping the first step is how estates end up with three platforms and no boundaries.
Assess
We inventory what you run, interview the people who run it, and price the cost of standing still. Written findings you keep either way.
Architect
A target architecture with deliberate boundaries. Which workloads live where, what moves, what stays, and in what order.
Deliver
A small senior team builds alongside yours. Every engagement ends with your people running the estate, documented and in control.
03Our view
The platform war is the wrong war
Vendors want you to pick a side. Most enterprises we meet already run more than one platform, and the honest answer is that they always will. Acquisitions, legacy estates, and team preferences guarantee it.
The real work is coexistence: deliberately designed boundaries, clear contracts between platforms, and one governed estate instead of three ungoverned ones. Fabric, Databricks, and Snowflake can each earn their place. None of them should win by default.
That is the war worth fighting, and it is an architecture problem, not a procurement problem. If you are in the middle of it, write to us.
04What you keep
Decisions, architecture, working systems
A defensible platform decision
Written reasoning, costs, and trade-offs on the record. When the board asks why, you have the answer.
Deliberate boundaries
Every workload has a home and a reason for being there. No accidental sprawl, no duplicate spend.
Governance from day one
Access, lineage, and quality designed in from the first pipeline. Auditors get answers, not meetings.
A team that can run it
We document as we build and hand over as we go. If you keep us around, it is by choice, not dependency.
05Working with us
Three ways to engage
Most clients start with the assessment, because it makes every decision after it cheaper.
| Engagement | What it is | Shape | |
|---|---|---|---|
Platform Assessment |
The front door. We assess your estate, model the realistic options across platforms, and deliver a written recommendation with costs, risks, and sequence. You keep the findings either way. | Fixed fee · 4–6 wks | Request an assessment |
Advisory Retainer |
A senior advisor on call for architecture reviews, vendor negotiations, and the decisions in between. A standing second opinion that answers to you, not to a platform. | Monthly | Ask about retainers |
Delivery Engagement |
A small senior team that builds what the assessment recommends: pipelines, models, governance, BI. Staffed lean, documented as we go, handed over on purpose. | Scoped by outcome | Discuss a build |
06About
A boutique, on purpose
We started D Data Solutions because enterprise data advice has a structural problem: the people recommending platforms are usually paid by the platforms. Reseller margins and partner tiers are fine businesses, but they are not advice.
So we built the firm we wanted to hire. Small enough that senior practitioners do the work. Independent enough that the recommendation is the product. Experienced enough, across regulated industries and every major platform, that a CIO can put our findings in front of a board.
We work with enterprise data leaders in financial services, insurance, telecom, mining, retail, public sector, and manufacturing.
D Data Solutions Limited · Federally incorporated, Corporations Canada, December 2025 · Greater Toronto Area, Ontario
07Contact
Deciding something hard?
Tell us what you are weighing and what is at stake. We will tell you honestly whether we can help, what it would take, and what it would cost. If the answer is that you do not need us, you get that in writing too.
Start a conversation