Services

Scoped, delivered, and documented.

Fixed fees and a written definition of done before any work starts. Every engagement is quoted against your actual scope - get in touch and you will get a written number back.

1. Data platform health & SQL performance audit

Every ETL/ELT job profiled, throughput and cost benchmarked, slow queries traced, and indexing, backup and disaster-recovery posture reviewed across production, staging and dev. You get a prioritized backlog with the fixes ranked by dollars and hours saved, plus a 30-day quick-win plan.

2. Modern data stack build

Source-to-warehouse ingestion, a modeled and tested transformation layer, orchestration, CI/CD, documentation and a handoff your team can own. The deliverable is a tested platform, not notebooks and good intentions.

3. ERP & business system integration

Bidirectional integration for orders, customers, products, payments and refunds, with idempotent syncs, error queues and a reconciliation report your finance team can read. Built for month-end, not for the demo.

4. SaaS and API integration factory

Productized ingestion of the tools you already pay for - analytics, marketing, payments, shipping, affiliate networks - into one warehouse, with schema-drift handling, backfill and monitoring included.

5. Real-time streaming pipelines

Near-real-time data for inventory, fulfillment, pricing or event analytics: topics, stream processing, warehouse sink, replay and dead-letter strategy, and monitoring. The operational parts are scoped from day one.

6. Reporting & BI rescue

Consolidate overlapping BI licenses, define every metric once, rebuild the dashboards decisions depend on, and replace spreadsheet month-end reporting with a layer people trust.

7. AI readiness assessment

An honest answer to whether your data can support AI today: sources audited, use cases mapped to feasibility and return, access and lineage checked, and a written build or do-not-build recommendation with a 90-day plan.

8. LLM agent & automation deployment

One bounded workflow shipped to production on your own infrastructure, over your own data: retrieval, evals, logging, human review and rollback. Available with part of the fee tied to an agreed metric.

9. Fractional data lead

Senior ownership without a senior hire: roadmap, architecture decisions, vendor selection, hiring and interview support, production coverage, and delivery capacity for the queue.

10. Managed data platform

Ongoing ownership after go-live: pipeline monitoring and break-fix, source drift, monthly cost and performance tuning, backup and recovery verification, and a small enhancement queue.

11. Revenue analytics & modeling

Analysis with a business number attached: cross-sell and market basket, propensity and direct-mail optimization, churn and lifetime value, assortment and pricing. Delivered with the model, the scoring output and a measurement plan.

12. Data quality & reliability program

Freshness, completeness, volume and schema tests, alerting, incident runbooks and an SLA the business can hold someone to. Sold with the incident history that justifies it.

How pricing works

Figures are not published here. Every engagement is quoted against your actual scope, and you get a written number before anything starts - just get in touch.

  • Fixed fees for scoped work. The estimate risk sits with me, not with your budget.
  • Milestone billing on larger programs, so payment follows delivery rather than calendar time.
  • Assessments are credited toward the project they lead to, when that project is signed within 60 days.
  • Outcome-linked options on migration, cost reduction and AI work: part of the fee tied to a verified number.
  • No vendor commissions. Tool recommendations are not influenced by partner arrangements.

Not sure which of these you need? Start with the assessment. It is the cheapest way to find out whether the problem is the platform, the data, the process, or a decision nobody has made yet.