Data Warehouse Consultant in Cyprus
Cloud data warehouse design and implementation for Cyprus businesses — one place where your numbers live, so every report starts from the same source.
What a data warehouse is, in practical terms
A data warehouse is a single database that collects data from your other systems on a schedule and keeps a clean, consistent history of it. Reports and dashboards read from the warehouse instead of querying your operational systems directly.
Two things make that worth paying for. First, your reporting stops depending on systems that were designed to run the business, not to answer questions about it. Second, you keep history — most operational systems overwrite records, so the answer to “what did this look like last March” is often simply unavailable.
When it is worth it, and when it is not
We would rather talk you out of a warehouse you do not need than sell you one. Some honest guidance:
- Probably not yet: one main system, reporting is adequate, nobody is doing heavy manual reconciliation. Fix the dashboards first.
- Worth considering: two or more systems that need joining, month-end reconciliation eating days, or questions about historical trends you cannot currently answer.
- Clearly worth it: reporting load is slowing your operational systems, several people maintain competing spreadsheet models, or you are planning anything with forecasting or machine learning — all of which need clean historical data to work at all.
What we build
- Warehouse design — a model that reflects how your business actually works, not a copy of your source systems' table structure.
- ETL and ELT pipelines — scheduled, monitored extraction from your source systems, with alerting when a load fails rather than silent bad data.
- Data quality checks — automated validation so problems surface before they reach a board pack.
- A reporting layer — the warehouse is infrastructure; the dashboards on top are what people actually use.
Migration from spreadsheets and legacy reporting
Most of our Cyprus warehouse work starts from a spreadsheet estate rather than an old warehouse. That is a good starting point, because those spreadsheets encode years of business logic — the definitions, the adjustments, the exceptions that nobody documented.
We treat them as the specification. The first task is reading them carefully and asking why each adjustment exists, because roughly half turn out to be workarounds for a problem the warehouse removes entirely.
Working with us from Cyprus
Our office is in Larnaca and we serve Nicosia, Limassol, Paphos and the rest of the island, alongside clients in Greece and remote clients worldwide. Warehouse projects run largely remotely with periodic on-site sessions at the points where face to face genuinely helps — scoping, definition workshops and handover.
Frequently asked questions
Do we actually need a data warehouse?
Often not yet. If all your reporting comes from one system and month-end is not painful, a warehouse is premature — a well-built dashboard on your existing data may be enough. A warehouse earns its cost when you have several systems that need to be joined, or history your source systems do not keep.
Which platform do you recommend?
It depends on what you already run and what your team can support. We implement on the major cloud warehouse platforms and pick based on your existing stack, your data volume and your budget — not on what we happen to like.
How long does an implementation take?
A full data warehouse implementation typically runs three to six months end to end. We stage it so you get working reporting on the first data source within the first few weeks rather than waiting until the end.
What does it cost?
Comprehensive data warehouse and AI programmes run into the tens of thousands, up to €80,000 and beyond for large multi-system builds. Smaller scoped warehouses cost considerably less. We scope and quote before starting, and we will tell you if a cheaper approach would do.
What happens to our existing reports?
They keep working while we build. We do not switch anything off until the replacement is running and your team trusts the numbers — usually a period of running both in parallel and reconciling any differences.
Will we be locked in to you afterwards?
No, and we would consider that a failure. We build on standard cloud platforms, document the pipelines, and hand over working knowledge. You should be able to hire anyone competent to maintain it.
Not sure whether you need a warehouse or just better reports?
That is exactly the question worth asking first. Send us a short description of your systems and we will give you a straight answer.
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