Tell me what you need to solve.
Type it in ordinary language. The intake asks one question at a time and draws what it hears on the plane. I read the brief you choose to send — not the transcript — and answer inside a business day. Prefer not to chat? Browse instead.
Tools
describe the problem in your own words. name the systems if you can — they appear on the plane as you go.
Explore your signal map Built as we talk
OFFERINGS
What the work actually is.
01 / MASTER
Customer Intelligence
A unified customer master with identity resolution and dedupe, RFM scoring and behavioral segments — delivered as audiences your marketing team can use the day they arrive.
IDENTITY RESOLUTION · RFM · AUDIENCES
02 / COMMERCE
Commerce & Supply Chain
Catalog, purchase orders, ASNs, receipts, allocations and inventory moving cleanly between systems that were never designed to talk to each other.
CATALOG · ORDERS · INVENTORY · GL
03 / REPORTING
Business Intelligence
KPI and dimensional models under the dashboards, with automated refresh pipelines that keep executive reporting current instead of stale.
KPI MODELS · DASHBOARDS · REFRESH
04 / PIPELINES
Data Integration
System-to-system pipelines, API and file-based feeds, and partner data exchange on standardized interface contracts — with validation and orchestration around them.
CONTRACTS · VALIDATION · ORCHESTRATION
05 / AI
Applied AI
Agents for repeatable analysis, natural-language questions over your own data, and automated briefs. On top of the pipeline, never instead of it.
AGENTS · NL Q&A · BRIEFS
06 / RUN
Platform Operations
Managed hosting, scheduled refresh, monitoring and incident response — so the model stays current instead of rotting after launch.
HOSTED · MONITORED · KEPT CURRENT
ANYTHING
What you need
Doesn’t fit a box above? Most real problems don’t. If the data exists, I’ll build what it takes — pipeline, model, integration, or platform.
COMMON SHAPES, NOT THE LIMIT
Delivered from the systems you already run — CRM, POS, ERP, e-commerce, email platforms, spreadsheets, APIs.
CUSTOMER INTELLIGENCE
Your customer database is not a list. It is a behavioral history waiting to be assembled.
Customer, transaction and engagement records usually live in different systems. I resolve the identities, connect the history and turn the result into segments your team can actually use.
THE COMMERCIAL QUESTION
Which customers deserve attention next?
Who matters most, who is drifting, who should be reactivated, and whether the same person is being counted as several different customers. The useful answers live between systems, not inside any one of them.
Twenty years in enterprise data engineering · 200+ data integration solutions
FROM FRAGMENTED DATA TO USABLE INTELLIGENCE
YOUR SYSTEMS
- CRM
- POS
- E-COMMERCE
- LOYALTY
- SUPPORT
UNIFIED CUSTOMER MODEL
- 01Identity resolution
- 02Transaction history
- 03Engagement history
- 04RFM + behavioral scoring
USABLE INTELLIGENCE
- High-value customers
- Customers drifting away
- Win-back opportunities
- Campaign-ready audiences
One customer. One history. One usable picture — built from the systems you already run.
THE TRANSFORMATION
Watch fragmented records become a customer you can act on.
The useful answer is usually not inside one system. It appears when identities, transactions and engagement history are assembled into one model.
01 / FRAGMENTED
Separate systems tell partial stories.
Customer, transaction and engagement records arrive with different identifiers, timing and levels of completeness.
02 / RESOLVED
Identity resolution assembles one history.
Records that belong to the same customer are connected, duplicates are handled and the transaction and engagement history can be read together.
03 / ACTIONABLE
Behavior becomes something the business can use.
RFM and behavioral signals turn the unified history into practical segments and campaign-ready audiences.
SELECTED WORK
13 ARCHITECTURES · 16 ENTRIES
Twenty years of enterprise delivery.
Every architecture is from production work, sanitized for confidentiality. This is the foundation the agent work stands on.
Enterprise Lakehouse Modernization
Microsoft Fabric medallion architecture migration for a multi-system enterprise. Loop automation for Bronze ingestion, Materialized Lake Views for Silver transformation, pipeline-driven Gold with a lakehouse semantic model and Data Agents.
Confidential
Customer & Loyalty Data Platform
The complete enterprise data platform — 200+ data integration pipelines integrating loyalty points engine, customer master profile across CRM/e-commerce/POS/WMS, RFM segmentation, GL reconciliation pipeline, and email fact enrichment across billions of rows. The foundation for both the Loyalty & Customer Intelligence Suite and the Commerce & Catalog Suite.
Confidential
- ARCH. 01Loyalty customer sync + email fact enrichment
- ARCH. 02Loyalty voucher distribution
- ARCH. 03Email engagement tracking · Billion-row pipeline
THE TEAM & THE EXPERTISE
LUCIDAGENT.AI / OUR HOSTED PLATFORM
The expertise here.
Your team at work there.
LucidDataMind prepares the data and connects your systems. LucidAgent is where you explore the team, inspect capabilities and evidence, and review supported work.
One authoritative capability catalog—not a second marketplace. A team role, a scheduled worker and a verified output are different things.
The current customer-growth preview uses synthetic data. Private pilots are scoped before activation; the workflow prepares drafts but does not send messages.
How I work.
These are the rules every deliverable is built on. They are also the reason the numbers survive contact with your own analyst.
Your systems don’t reconcile. I measure exactly how far off they are.
Operations data and marketing data were never designed to talk to each other. Joining them cleanly — and measuring exactly how cleanly — is where customer intelligence starts. Most organizations have quietly accepted that the two halves of their business tell different stories.
Identity comes out on the way in — unless the work needs it back.
Personal data is stripped at ingest by default, and everything downstream runs on hashed keys and aggregates. Where the deliverable is an addressable audience, identity is re-joined at the last step and only there, with column-level encryption on anything sensitive at rest. You hold identity where the work requires it and nowhere else.
A rate without a denominator isn’t a number.
“Underperforming” means nothing until you know capacity. Where the denominator doesn’t exist, I’ll tell you the figure is relative and stop. Where it can be found, the same analysis turns a directional hunch into something you can act on.
Anything that drives a recommendation gets verified against source.
A clean finding that dies under your analyst’s scrutiny costs more than it was worth. I recompute before I claim — and when something doesn’t hold up, you hear that. It is a stronger position than the finding would have been.
The other eight
I won’t approximate to fill a gap.
Where your data can’t support a measure, you get precision about the gap instead: what’s missing, why it matters, what would close it. Those gaps routinely become the sharpest questions an organization has about its own systems.
“Unknown” and “zero” are different facts.
Conflating them produces confident wrong answers. Unknown stays unknown, every field carries its coverage, and uncertainty arrives as a stated range — not a hidden assumption.
Column names lie. Values don’t.
Flags that govern nothing. Status fields that mean something other than their label. Indicators that exclude most of what they claim to describe. I classify by inspecting what is actually there, which is why the findings hold.
A control nobody has attacked is a control nobody has tested.
Privacy floors, validation rules, suppression thresholds — every one gets adversarial review, because a passing test only proves the test passed. That process has caught things no deterministic check could see.
Correctness is built in, not remembered.
Constraints that make bad data impossible to insert. Tooling that refuses to publish anything diverging from what was verified. Discipline drifts. Enforcement doesn’t.
Aggregate with a floor, and test the arithmetic around it.
No group below the threshold is ever visible — and the harder work is confirming that published figures can’t be decomposed back below it. Suppression that survives only a mechanical check isn’t suppression.
What I deliver explains itself.
No walkthrough required. Every view says what it shows, how to read it, and what it can’t tell you — because the person who forwards it isn’t the person who commissioned it.
I find my own mistakes first.
That is what makes the rest of the numbers worth trusting.
FOR AGENCIES
Built behind the agency.
You own the relationship and the campaign strategy. I handle the customer-data layer behind it — ingestion, identity resolution, segmentation, audience production and intelligence. White-labeled, or introduced as your data partner — both models are laid out on the For Agencies page.
- YOU KEEP THE CLIENT
- I STAY BEHIND THE CURTAIN
- CAPABILITY WITHOUT HEADCOUNT
Tell me what you need to solve.
Describe it in your own words — what you're trying to get done, what's in the way, which systems are involved. I read every one myself and answer inside a business day. If there's a fit, we have one focused introductory call; delivery runs asynchronously by default after that. If you'd rather skip the terminal, use the form or email dmt@luciddatamind.com.