alpLytics

Your data. Made actionable.

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In-house development · Cross-industry · In use

Our data platform

A data lakehouse from raw file to KPI

Our data passes through three stages: raw, cleaned, ready for analysis. The pipelines run automatically and traceably. We use the same pattern when planning data platforms for clients.

Starting point

Using data from many sources requires order: what is raw data, what has been checked, what is a reliable KPI? Without that order you get contradictory numbers and analyses nobody can trace.

We wanted a platform on which every KPI can be traced back to its source and new data sources can be added without one-off solutions.

What we did

  • Multi-stage architecture clearly separating raw data, cleaned data and analysis-ready KPIs.
  • Transformations as versioned, tested code instead of manual steps. Every change is traceable.
  • Orchestrated pipelines that load and refresh data automatically and alert us when something fails.
  • Our own object storage and a query engine that works across all stages.

Outcome

KPIs can be traced back to their source, and new data sources are connected following a fixed pattern.

The platform is built on open standards. That keeps it independent of individual vendors, which is exactly what we recommend to our clients as well.

Ready to turn your data into a competitive advantage?

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