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 Demo