Migrating off Daasity to an owned data stack
We migrated First Day off Daasity, their all-in-one platform, to an owned data stack — unifying every source, including the ones with no easy way to get the data out.
“Great partner that can help you achieve your goals while understanding the business, tech and need for agility”
Yoed NegriVP AI, Data & Technology, First Day
An all-in-one platform that couldn't keep up
Missing connectors. Inaccurate data. Slow dashboards. No real ownership of their own data. First Day had outgrown Daasity — hitting every one of the typical issues brands run into with all-in-one platforms once they reach a certain stage.
Preserving every bit of historical data through the move — even though it was never truly theirs to own, and much of it sat behind strict API limits.
The sheer number of connectors to unify — order management, logistics, marketplaces, ads, email, SMS and support — many with no managed connector and no easy way to get the data out.
Wrangling notoriously messy marketplace data from Amazon Seller and Target.
Some sources were very expensive to sync at scale.
We became First Day's external data team and migrated them off Daasity, replacing the all-in-one platform with an owned analytics stack — piping every platform into BigQuery, building custom integrations for the sources no one else could reach, and turning it all into dashboards the whole team could trust, without a long, disruptive migration.
Centralized warehouse
We piped every First Day platform — marketplaces, ads, email, SMS, support and logistics — into a single BigQuery warehouse via Fivetran.
Custom integrations
For platforms with no managed connector, we built custom Fivetran Connector SDK integrations — Jazz OMS (logistics), Vibe CTV, Northbeam and Stay AI — handling async APIs, bot protection and deep pagination.
Taming marketplace data
We modeled the notoriously messy Amazon Seller and Target data into clean, reconciled orders, refunds and settlements.
Cost-efficient syncs
For the sources that were expensive to sync, we found creative ways to move the data — tuning sync frequency, scope and strategy — to keep First Day's costs down without sacrificing freshness.
Modeling & metrics
We modeled the raw feeds into the numbers the team runs on — net sales, margin, retention and channel performance — defined once and trusted everywhere.
Dashboards & insights
We built automated dashboards and act as their embedded analyst team, surfacing the decisions that matter.
First Day now runs on a single source of truth that spans every channel — including the marketplace and logistics data that used to be out of reach — on a stack they own and can extend as they grow.
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