Make BigQuery as usable as it is queryable.
You centralized your business in BigQuery. Pedestal turns it into answers and decisions for every leader — not just the people who write SQL.
We know how BigQuery actually gets used.
BigQuery is fast, serverless, and central — pulling in data from across your stack, governed through IAM and authorized views, queried directly and through Looker. The data is there. Whether the business uses it is a different question.
- IAM and authorized views as the spine of access control
- Looker (or Looker Studio) as the layer the business actually sees
- Ad-hoc SQL access concentrated in a small group of power users
The data is in BigQuery. The decisions still aren't.
Centralization in BigQuery solved a real problem. It didn't solve the gap between "data is queryable" and "a leader made the right call because of it."
Looker is a viewing layer, not a thinking layer.
Dashboards answer the question they were built for. The next question — the one the business actually needs answered — still lands in someone's SQL queue.
SQL fluency is unevenly distributed.
A handful of power users can interrogate BigQuery directly. Everyone else waits on them — or guesses.
Insights stay inside the data team.
What's changing in BigQuery rarely makes it to the leader who needs to act on it, until someone manually surfaces it.
You're paying for queries that don't change a decision.
BigQuery spend grows with usage. Outcomes don't, unless that usage is connected to action.
What Pedestal unlocks on top of BigQuery.
Pedestal turns BigQuery into something every leader can use directly — respecting the IAM and authorized views you've already set up.
Plain-English answers, sourced and traceable.
Anyone can ask. Pedestal answers from your BigQuery data, using your team's definitions, and shows its work.
Proactive monitoring of what's changing.
Pedestal watches your BigQuery tables and surfaces what's worth knowing — anomalies, shifts, opportunities — before someone has to query for them.
Decisions and recommendations, not just queries.
BigQuery returns rows. Pedestal returns the next action — grounded in those rows, in your business context.
Power users get their week back.
Your SQL-fluent team stops being the help desk and goes back to the work that needs them.
Life before and after Pedestal on BigQuery.
- Looker dashboards answer yesterday's question
- Power users absorb every ad-hoc request
- Changes in the data take days to reach a leader
- Query spend grows; decisions don't
- Leaders self-serve, grounded in your governed data
- Insights surfaced proactively, not waited for
- Data drives operational decisions in real time
- Spend tied to outcomes, not to repeat questions
What this means for the business.
Centralizing in BigQuery was the right call. Pedestal makes sure the rest of the business gets the value of it.
Decision velocity
Leaders move from question to grounded answer in minutes, not Slack threads.
Team leverage
Your SQL-fluent power users stop being the bottleneck for the rest of the org.
ROI on BigQuery
Compute spend translates into outcomes — decisions made, calls placed, opportunities caught.
Built for Enterprise
Your data never leaves your environment. Walk away anytime and take everything with you.
Your Infrastructure
- Your VPC or on-prem
- AWS, Azure, or GCP
- Native to Snowflake, Databricks, SAP
Your Code
- Readable, testable, versioned
- No black boxes
- You leave, the code stays
Your Audit Trail
- Every decision traced
- GDPR compliant
- SSO and role-based access
See how it works in 30 minutes.
We’ll walk you through how Pedestal captures your business context and builds agents grounded in it — tailored to your systems and your workflows.
Book a Briefing