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Alphacroft

Services / Intelligence · CAP.009

Decisions from data you can finally trust.

Pipelines, warehouses, and dashboards that end the Monday-morning argument about whose numbers are right, sized for your business, not for a data team you don't have.

2-8 weeks1-2 engineersFixed scope, quoted in writing

01 · When you need this

If any of these sound familiar, you’re in the right place.

  • Sales, finance, and ops each report a different revenue number for the same month.
  • Reporting means someone loses a day exporting CSVs and fixing VLOOKUPs.
  • The data exists, in six tools that don't talk to each other.
  • You make pricing and stock decisions on gut feel because the numbers arrive three weeks late.
  • You're about to buy an expensive BI tool and suspect the problem is actually the plumbing.

02 · What we deliver

Exactly what you walk away with.

No vague 'solutions'. These are the concrete deliverables: each one is a line in the proposal and a checkbox at handover.

DEL.01

Data audit

Where your numbers live, where they disagree, and why, the argument-settling document.

DEL.02

Pipeline & warehouse

Your sources flowing into one place, automatically, with checks that catch bad data on arrival.

DEL.03

Metric definitions

'Revenue' defined once, in writing, agreed by finance, the cheapest deliverable and the one that ends the fights.

DEL.04

Dashboards

The numbers that run the business, current by the time you pour the coffee.

DEL.05

Alerting

You hear about the anomaly from the system, not from a customer or the bank.

DEL.06

Runbook & handover

Adding a source or a metric is documented, not tribal knowledge.

03 · How it runs

Phase by phase, with nothing hidden.

Every phase states what happens and what you see in your project portal while it does.

01

Audit

1 week

Trace the numbers to their sources; find where they fork.

In your portal: The audit, with every discrepancy explained.

02

Foundation

1-3 weeks

Pipelines and warehouse with data-quality checks from day one.

In your portal: Source-by-source progress.

03

Metrics & dashboards

1-3 weeks

Definitions agreed, dashboards built against them.

In your portal: Draft dashboards for comment as they land.

04

Handover

3-5 days

Training, alert tuning, runbook.

In your portal: Handover pack.

04 · Standards

Non-negotiables, in writing.

Definitions before dashboards

A beautiful chart of a disputed metric is expensive noise. Definitions get signed off first.

Quality checks at the door

Bad data is rejected loudly on arrival, not discovered in the board deck.

Sized to your team

Tooling a two-person company can run. No Kafka clusters for 10,000 rows a day.

Costs visible

Warehouse and tool costs at your volumes are in the proposal, monthly, in euros.

05 · Stack

Tools chosen for your handover, not our comfort.

PostgreSQL / BigQuerydbtMetabase / Looker Studiomanaged connectors

Boring, proven, cheap-to-run tools by default. The exotic stack is a cost center at your scale; you can graduate to it when the data volume genuinely demands it.

06 · Questions

Asked often, answered straight.

Shouldn't we just buy Power BI / Tableau?
Maybe, but a BI tool visualizes what it's fed, and if your sources disagree, it visualizes the disagreement in higher resolution. Fix the plumbing and the definitions first; then most teams are happy with a far cheaper visualization layer than they expected.
Do we need real-time data?
Almost certainly not, and it's expensive. Hourly or daily covers the decisions most businesses actually make. Where a number genuinely needs to be live (stock levels, fraud), we make exactly that number live and leave the rest cheap.
What about GDPR?
Handled structurally: PII minimization in the warehouse, access controls per role, retention rules automated, and EU-resident infrastructure where required. The audit includes a data-protection pass as standard.

Ready to talk about data & analytics?

Describe where you are. We’ll respond within one business day with honest next steps, even if the honest next step isn’t us.

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