# §1 — Who does the work **Rob Freyne.** Solo data specialist. Based in Ireland — Waterford base, Dublin working presence. Serving UK and Ireland. Around ten years in data analytics, visualisation, and decision-support systems. Currently a Principal Data Analyst at a Fortune 500 healthcare company (roughly eight years there, still current). Allin Data is a secondary role — the Sprint runs alongside the day job, on the strict two-per-cycle availability that keeps the diagnosis worth £2,500. Enterprise data work at Fortune 500 scale sounds distant from an SME reporting problem. The connection is that the diagnostic logic is the same. At enterprise scale the pipelines are bigger and the tools more expensive; the reasons real decisions get made on numbers no one fully trusts are identical. The Sprint is the same discipline, tightly scoped to two weeks so it stays affordable for a business that doesn't have an in-house data function. --- # §2 — What "enterprise data" actually means in practice Three examples, anonymised, from the last few years of that work. Real projects, real numbers. **Quarterly compensation for thousands of frontline staff.** Data landed in finance from dozens of teams via email, in Excel, unvalidated. Every month-end took roughly two weeks and produced errors that finance then had to chase. Reworked as a validated pipeline with error-catching before the data reached finance. **Month-end processing dropped from two weeks to one to two days.** The dashboards became one of the five most-viewed inside the company. The real problem wasn't the data pipeline — it was the change-management around dozens of supplying teams. Stabilise the humans, then the data stabilises. **Formulary transition on a multi-million-dollar biosimilars programme.** A patent expiry changed the economics overnight. Clients, pharmacies, prescribers and patients all needed to be managed through a fast-moving change. Built the data pipeline and dashboards that answered *what's happening → why is it happening → what do we do next*, in real time. **The organisation navigated the transition successfully; the pipeline and dashboard skeleton is now reused for every subsequent biosimilar.** The data function wasn't reporting outcomes — it was determining the sequence and timing of decisions. **Automated quarterly reporting for enterprise clients.** Rebate reporting was manual, error-prone, and always late. Rebuilt in Python — fully automated, branded, emailed directly to each client on schedule. **Create-and-forget: zero manual effort per report cycle.** The value wasn't the automation. It was that consistent, accurate, on-time reports built the trust that made the client relationship stick. Previous enterprise work is anonymised for confidentiality. If you want to talk in more detail about work relevant to your situation, that conversation happens on the discovery call. --- # §3 — Why this is a Sprint, not an ongoing engagement Most SME data problems don't need a monthly retainer or a permanent hire. They need someone competent to look hard at what's actually going on for a fixed, bounded period, tell you the truth about it, and hand you a document you can act on. That's the shape of the Sprint. It's the diagnostic step — deliberately separated from the build step, because doing the wrong build for eight weeks costs far more than diagnosing correctly for two. Some engagements grow into an ongoing arrangement afterwards. Most don't need to. Either shape is available. Neither is assumed. --- # §4 — How I work with your data Three defaults, applied every Sprint: **Read-only access, minimum scope.** Access is asked for at the narrowest level that answers the diagnostic question. Sensitive data (customer records, employee data, financial identifiers) is examined in place, not copied to a personal machine unless there is a specific reason to do so and you have agreed to it. **EU-hosted, deleted on a fixed timeline.** Notes and extracts used to draft the diagnosis are stored on an EU-hosted account. Everything related to your engagement is deleted within 30 days of Sprint close, or on request — whichever comes first. **Inside your compliance posture, not around it.** If you're covered by GDPR, DPA 2018, or sector-specific rules (healthcare, financial services), name that on the discovery call. The Sprint is scoped to work with your existing compliance posture, not to bypass it. Detail: [/privacy](/privacy). --- # §5 — Credentials and background - Around **ten years** in data analytics, visualisation, and decision-support systems. - **Principal Data Analyst** at a Fortune 500 healthcare company (current, ~eight years). - Recent focus: data analytics and AI implementation at Fortune 500 scale. - **Postgraduate Diploma in Science — Computer Science, Data Analytics** — Dublin Institute of Technology, 2011–2012. - **"AI for Business"** — UCD Professional Academy, 2023. - Cross-functional: technical build, stakeholder alignment, executive-level decision support. The full career record is on [LinkedIn](https://ie.linkedin.com/in/rob-freyne-b6a6664a). What matters here is that the discipline behind the Sprint is the same discipline used on decisions that carry real weight. --- # §6 — The straightforward version You have a reporting, data, or workflow problem that's costing your team time and eroding trust in the numbers. You don't know whether the answer is a new dashboard, a fixed pipeline, a workflow change, or "hold off and don't build anything for another quarter." Two weeks. £2,500. One specialist. One document that tells you what the real problem is and what to do next. No implementation locked in, no monthly retainer implied, no follow-on assumed. That's what Allin Data is. **Book a 30-minute discovery call** → Cal.com Mon–Thu after 5pm · Fri before 11am · UK/Ireland time. --- # §7 — Footer **Allin Data** — Data Diagnostic Sprint for SMEs. Ireland — Waterford / Dublin. Serving UK and Ireland. [Home](/) · [Sprint](/sprint) · [Privacy](/privacy) · [Terms](/terms) *No cookies, no trackers. That's deliberate.*