Analytics for everybody!

Data and Analytics teams have long been considered a justified expense only for larger companies. The upfront cost of development and the ongoing expense of a whole team requires some serious return to make it worth it.

The reality is that – with a modern architecture and approach – analytics got a lot easier to manage and therfore cheaper. Moving away from manually run ad-hoc reports to an automated, modular and scalable architecture that grows with your requirements and lets you switch out parts of it if you ever need to change.

White abstract geometric artwork from Dresden, Germany
White abstract geometric artwork from Dresden, Germany

The Fractional Data Team

If you regularly juggle Excel sheets manually, spend hours each month trying to reconcile your systems or struggle to identify the most profitable areas of your business, a fractional data function might be the answer.

Fully managed, this approach allows you to utilise your data bit by bit without any large upfront commitments and scale over time with your business and requirements. And if you ever do require an inhouse ressource, everything is standardised and documented so that onboarding becomes a breeze.


Services

Data Engineering and Modelling

Design, implementation and maintenance of data modells and entire data warehouses

Advisory

Current state analysis of your analytics utilisation and recommendations on how to scale

Visualisation and Reporting

Development of reporting solutions. From requirement definition to BAU support

Integration and Automation

Integration of your main tools to make sure you don’t have to export and import data ever again

Tools

My work touches on a variety of tools and platforms. Most of my skills are transferrable between them but here is an incomplete list of the systems I work in regularly:

Fivetran, dbt, Snowflake, Redshift, Athena, github, Tableau, PowerBI, PowerQuery, Salesforce, Data360, CRMA