Google BigQuery
BigQuery is Google Cloud's data warehouse and analytics platform, which Google describes as automating the entire data life cycle from data to AI. It supports SQL, serverless Spark, and machine learning models over the same data.
What Jolly reads from Google BigQuery
Operational data from the systems that produced it
A data platform holds copies of what the source systems recorded, so one place can reach transactions, shifts, and employment records that live in three separate products.
History the source system has already overwritten
Where loads are retained over time, a goal can be measured against what was true at the start of the quarter rather than only against the current state of a record.
Records resolved across system boundaries
Where one worker or one site has been matched to a single identity across sources, performance reads per person even when the underlying systems disagree on identifiers.
Definitions the business has already agreed
Where a metric is catalogued rather than reinvented per report, a campaign can be measured on the same number the operating reviews run on.
The rows behind every total
An aggregate is built from detail the platform still holds, so a company-wide figure can be broken back down to a site, a shift, or a person.
Campaigns you can run on Google BigQuery
Productivity
Turn workforce productivity into measurable profit. Only pay when targets are hit.
Recruiting
Fill roles faster through your own workforce. Only pay when hiring happens.
Retention
Keep the people who already know the job. Only pay when they stay.
Compliance
Get every requirement completed on time. Only pay when they're met.
Scheduling
Turn open shifts into guaranteed coverage. Only pay when coverage gaps close.
Sales
Turn your frontline into a revenue engine. Only pay when the extra revenue lands.
More Data & Warehousing integrations
Jolly reads the same operational data from any of these.
Google BigQuery integration FAQ
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