Data & Analytics Engineering
Data analytics consulting: pipelines and dashboards for portfolio and residual data
Data infrastructure and reporting for payments businesses: processor data ingestion, residual and portfolio warehouses, and dashboards your team actually uses.
Built for every buyer we serve
ISOs, PayFacs, and platforms with data in too many places.
Why this costs you money
These are the failure modes we see most often in Engineering.
Processor reports are inconsistent and manual.
Portfolio decisions are made without data because the data is inaccessible.
Spreadsheets break at scale.
Everything included, in writing
Scope is written down before work starts, and changed only in writing. Nothing is added or dropped without a written change order.
- 01Data source mapping
- 02Pipeline and warehouse build
- 03Data models for residuals, portfolio, and risk
- 04Dashboards and reporting
- 05Maintenance
All 5 are written into the scope document before work starts. What you actually need is settled on the call, after the Assess read.
From first call to live
3 phases, each ending in something written. Exact dates are set at the Assess step, once the scope is known.
- 01Phase 01
Week 1 to 2
Mapping
- 02Phase 02
Week 3 to 8
Build
- 03Phase 03
Ongoing
Maintenance
What makes this different
These are specific to Engineering, and they are in the scope document rather than only on this page.
Fintech constraints are the default
Card data scope, audit trails, and uptime expectations are designed in from the first commit, not retrofitted later.
Integrations that survive change
Processor, gateway, bank, and KYC work assumes poor documentation and moving targets, with sandbox and production certification.
Weekly demos against fixed milestones
Sprint delivery with code review and automated testing you can inspect while it is being written.
You own the code
Repositories, documentation, and runbooks transfer to you as each deliverable is accepted.
What clients say
We publish no client names. These describe the shape of real engagements in Engineering.
See the engagementsWe had been quoted eighteen months and seven figures to register as a PayFac. Midcore mapped the alternative in two weeks and told us plainly that our volume did not justify it yet. That conversation saved us a year.
Our agents were spending half their week on paperwork. The desk took the boarding queue, the disputes, and the residual reconciliation. Same headcount on the sales side, materially more selling.
They found variances in our residual statements that had been running for years. What mattered more was the monthly reconciliation they left behind, so it does not happen again.
- Written scopeAgreed before work starts, changed only in writing.
- Reporting from your dataEvery number opens to a record you can check.
- Scoped, logged accessRevocable by you at any time.
What the work looks like
Anonymised engagements from across the six core services.
All case studiesA platform earning a thin referral share on customer processing wanted the margin that sat with its processor, without the registration, capital, and compliance headcount a full PayFac requires.
Field-services SaaS platform An ISO gave its agents their selling week backAgents were spending roughly half their time on statement analysis, applications, and chasing processors. The fix was not more headcount on the sales side.
Independent sales organization A card-not-present merchant came back from a monitoring thresholdA rising dispute ratio put the account within sight of a card brand monitoring program, and with it the processing relationship itself.
Subscription merchant processing at scaleWritten by people who have done the work
The arguments we would make in the room.
All insightsA business operations audit usually finds the same three things: records that cannot prove what they claim, unrevoked access, and an untracked cost.
10 min read IT Staff Augmentation vs Outsourcing: What Actually DiffersIT staff augmentation and outsourcing differ on who directs the work day to day, and that one fact decides who owns what gets built and who bears legal risk.
10 min read Chargeback Management for Growing ISOsAs a portfolio grows, Visa stops judging disputes merchant by merchant. It judges the whole aggregated book, and the rules changed in 2026.
10 min readStraight answers
The questions that come up on almost every Data & Analytics Engineering call, answered before you have to ask them.
Which tools?
How does an engagement start?
What does Data & Analytics Engineering cost?
Can we stop after the Assess?
How long does Data & Analytics Engineering take?
Who actually does the work?
Do you work inside our systems?
Still not sure Data & Analytics Engineering is what you need?
That is what the Assess is for. Book a 30-minute call and we will tell you which service fits, whether you need one at all, and what the first engagement would cost. We will also tell you when the answer is no.
Ready to talk about Data & Analytics Engineering?
Tell us what is happening. We will tell you whether this service fits, and whether you need it at all.
- 01Within 1 business dayA US-based practice lead replies and books a 30 minute call.
- 02On the callWe map the problem, the volume, the partners, and the constraints.
- 03After the callYou get a written read of one to three pages, yours to keep.
- Handled under NDA
- Written, not a slide deck
- No obligation to continue