Sound Familiar?
Your team relies heavily on Excel and Google Sheets
Analysts spend more time gathering data than analyzing it
Dashboards are manually updated every week (or month)
There's no single source of truth
You're exporting CSVs from Everywhere
"Which number is right?" is a daily question
What's Really Happening
You're trying to scale analytics without a real data foundation.
What Needs to Happen
You need three things:
Ingestion
Automated pipelines pulling from every source
Transformation
A modeling layer (dbt) that defines business logic once
Warehouse
A central repository (Snowflake, BigQuery, Databricks) that scales
How we solve this
Related Case Study
A growing DTC brand was drowning in spreadsheets. We built them a complete data platform in 6 weeks
Tools We Use
Ingestion:
Airbyte
Fivetran
Hevo
Orchestration:
Airflow
Dagster
Warehouse:
Snowflake
BigQuery
Databricks
Transformation:
dbt
