Veterinary

Data Foundations to Improve Operations

Data Foundations to Improve Operations

Day1Data's work with Filu Veterinary

Day1Data helped us move from siloed data sources to a more scalable, automated data foundation. They aligned our teams around consistent KPIs, connected our core data sources into BigQuery and built a validated semantic layer we can trust. It has given us a stronger base for reporting, decision-making and AI use cases.

Justus Buchen

Filu, COO

Overview
Research

Filu is a modern, tech enabled veterinary care provider with multiple practices across Germany and a mission to reinvent animal health experiences through digital services, seamless booking and an integrated customer portal. The business combines comprehensive in practice care with an intuitive digital platform for pet health data and service management. As the organisation grew and its data footprint expanded, it became clear that basic reporting was not enough to support decision making at scale.

The Challenge
Design

Filu’s data was scattered across a variety of sources without a single version of truth. There was no established process for validating data quality and reporting was largely manual in Google Sheets. With no consensus on KPI definitions, stakeholders struggled to align on performance outcomes and insights. Key Pain Points: • Data living in multiple, unconnected sources • No single version of truth for reporting • Absence of data validation processes • Reporting done manually in Google Sheets • No shared KPI definitions

The Solution
Design

Day1Data worked with Filu to build a structured, automated analytics foundation, bringing together engineering, semantic modelling and governance to turn fragmented data into trusted insight. Step by Step Programme: KPI Catalogue Workshops – facilitated workshops to define a full KPI catalogue and secure organisational alignment Data Syncing – leveraged Fivetran to sync disparate data sources into BigQuery Semantic Layer – built a dbt semantic layer to unify definitions and logic across models KPI Modelling – modelled core KPIs in the warehouse with standardised logic Validation & Testing – created automated tests and documented definitions to ensure data quality and consistency

The Results
Design

• Hundreds of validated KPIs stored in the data warehouse • A fully defined and documented KPI catalogue • Automated reporting replacing manual Google Sheets work • A single version of truth that supports confident decision making This programme transformed Filu’s measurement foundation, moving the business from ad hoc reporting to a scalable, validated analytics ecosystem.

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  • Trusted by Resident Advisor
  • Trusted by Amala Chai
  • Trusted by Hantec Financial
  • Trusted by hg
  • Trusted by hylo athletics
  • Trusted by Sapling
  • Trusted by VIEVE
  • Trusted by Twilio
  • Trusted by Suits Me
  • Trusted by hey savi
  • Trusted by filu veterinary
  • Trusted by Creature Comforts
  • Trusted by Buttermilk
  • Trusted by PerfectTed
  • Trusted by Healf
  • Trusted by Global Media
  • Trusted by WorldRemit
  • Trusted by Chemist4U
  • Trusted by Booksy
  • Trusted by fussy
  • Trusted by Heights
  • Trusted by Frive
  • Trusted by Revibe

Move beyond last-click attribution & measure the true impact of marketing spend.

Move beyond last-click attribution & measure the true impact of marketing spend.

Move beyond last-click attribution & measure the true impact of marketing spend.