Data Apps & Infrastructure: a data engineering foundation that scales

It depends on the scope. The main cost drivers are the number and type of data sources, whether your sources have a ready-made connector or need a custom pipeline, how much of your platform already exists, whether custom data apps are part of the project and how much cloud infrastructure we set up. In a free discovery call we clarify your needs and outline what a project could look like.

A focused migration with a handful of custom connectors takes us about two to three months. A new platform with first dashboards is typically up after three to four months. Large migrations with many legacy models take noticeably longer. We work out how long your project takes in the discovery call.

It pays off once spreadsheets and single tools stop scaling with the business. Our clients have between 30 and 15,000 employees, mostly 50 to 200, and a platform like this fits that range because it grows source by source. Maniko and Glow25 are growing brands that took exactly this step.

Our Modern Data Stack typically includes dbt, Snowflake, Google BigQuery, PostgreSQL, Apache Airflow, Prefect, Fivetran and Python. Which ones fit depends on your setup and your team.

Data engineering builds the foundation: pipelines, the warehouse and the infrastructure. BI and data analytics consulting builds on top of it: dashboards, reporting and deeper analysis. Often you need both, and we cover both in one team.

A modern data warehouse runs in the cloud, for example in Snowflake or Google BigQuery, and brings the data from all your systems into one place. Pipelines load the data automatically, dbt models and tests it, and reporting, analysis and AI all work from the same data. Together with the tools around it, this is called a modern data stack.

Mid-sized companies are usually best served by specialised data consultancies that build the data platform themselves and then hand it over to your team. Gemma Analytics works this way: our data engineering services cover the warehouse, the pipelines and the data infrastructure in your own accounts, documented and with hands-on sessions for your team. Most of our clients have 50 to 200 employees.

Possibly, including for platform and infrastructure projects. Gemma Analytics is registered with BAFA as a consulting company. For eligible SMEs, the programme covers up to 50% (up to 80% in the new federal states) of eligible consulting costs as a non-repayable grant, up to a maximum amount. The application has to be approved before the project starts, and we walk you through it at no charge.