Google BigQuery Fully Managed Petabyte-scale

Turn BigQuery into mobile decisions, not just queries.

Oneboard complements BigQuery with a mobile-native decision layer so that insights from your analytics data warehouse become clear, assigned and executable actions.

BigQuery is designed for large-scale analytics, in near real time, with no infrastructure to manage. Oneboard extends this power to teams who need to decide quickly, without sending them to a complex analytical interface.

Google BigQuery
Warehouse analytics BigQuery manages scale, near real time and cost flexibility. Oneboard manages the transformation of insight into field decisions.
GoogleSQL and Python Your analyzes remain in the BigQuery environment. Oneboard relies on useful outputs to simplify business consumption.
No infrastructure to operate BigQuery removes infrastructure management; Oneboard removes part of the cognitive load on the end user side.

Why Oneboard for BigQuery

BigQuery speeds up analysis. Oneboard accelerates the decision.

BigQuery is a fully managed, petabyte-scale and cost-effective analytics data warehouse. Oneboard takes relevant results to make them understandable and actionable on mobile, where decision time really counts.

01

From warehouse to field

Your tables, models and BigQuery queries remain the analytical basis. Oneboard transforms key signals into decisions that can be consulted, assigned and monitored on mobile.

02

Less complexity for teams

BigQuery is ideal for analysts and data teams. Oneboard then reduces complexity for operational decision-makers who need a clear answer, not a new environment to explore.

03

Compatibility with advanced uses

Whether it's GoogleSQL, Python, ML or external data, Oneboard does not interfere with the analytical capabilities of BigQuery. It makes them more activatable.

Integration

Keep BigQuery for scale. Add a mobile decision layer.

Oneboard complements BigQuery environments when analyzes must go beyond the purely data scope to become business decisions, operational priorities and monitored actions.

  • BigQuery remains the benchmark analytics data warehouse
  • Key signals arrive in a simpler moving surface
  • Decisions are assigned and traced
  • Teams act without returning to a technical interface
Source Google BigQuery

Analytics data warehouse fully managed, petabyte-scale and near real time.

Context Targeted Insights

Oneboard recovers what is worth a decision, not the entire analytical complexity.

Use Oneboard mobile-native

Owner, action and trace in a lighter experience for field teams.

Near Real Time

Decisions closer to the signal

BigQuery allows you to analyze large volumes in near real time. Oneboard then allows you to use this freshness to act quickly, rather than letting the information freeze in passive reporting.

Cost-effective

Focus on business value

Where BigQuery optimizes access to large-scale analytics, Oneboard optimizes the last mile: reducing the time lost between product insight and executed action.

Focus Trace

A useful insight must lead to a visible decision.

Above the analytics warehouse

Oneboard completes BigQuery with owner, action and memory logic.

BigQuery helps find meaningful insights on a very large scale. Oneboard ensures that these insights become clear, responsible decisions that can be consulted by the right teams at the right time.

Responsibility

Less passive reporting, more execution.

The challenge is not only to produce analyzes more quickly. It is to clarify what they must trigger in the organization.

Signal

Explicit priority

Not all analytical results require action. Oneboard helps isolate those who need to become decisions.

Owner

Visible accountability

Each useful decision must have an explicit owner and sufficient context to act without reinterpreting the entire analytical layer.

Trace

Sustainable learning

The decision and its result remain visible, which makes it possible to learn, audit and improve the loop between data and action.

BigQuery + Oneboard

Take your BigQuery insights out of reporting and put them into motion.

We identify BigQuery signals that must become mobile, assigned and traceable decisions in operations.