Redbird AI automates the flow of financial data between FactSet and BigQuery, so your team stops manually exporting CSVs, writing custom ETL scripts, and reconciling datasets. Sync fundamentals, estimates, and ownership data directly into your data warehouse for analytics at scale.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Pull updated financials, consensus estimates, and analyst coverage from FactSet each morning and load them into structured BigQuery tables. Keep your quantitative models and dashboards refreshed without manual downloads or API scripting.
Match your BigQuery portfolio tables to FactSet identifiers and append institutional ownership, share price, and market cap data. Redbird handles the joins and updates, ensuring clean enrichment pipelines that run daily or intraday.
Send scored securities, risk factors, or alpha signals calculated in BigQuery directly into FactSet for portfolio managers to review. Bridge the gap between your data science stack and investment decision tools.
Monitor custom risk scores, exposure limits, or performance metrics stored in BigQuery and trigger alerts enriched with real-time FactSet market data. Combine your proprietary analytics with live financials for smarter notifications.
Automatically capture daily snapshots of pricing, estimates revisions, and corporate actions from FactSet and store them in BigQuery partitioned tables. Build a comprehensive historical dataset without managing storage or versioning manually.
When FactSet publishes new earnings actuals or estimate revisions, trigger immediate loads into BigQuery and refresh downstream Looker dashboards or ML models. Turn around analysis in minutes instead of waiting for nightly batch jobs.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery and FactSet with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird AI understands both BigQuery's scalable columnar schemas and FactSet's financial entity hierarchies, so you can map complex datasets without writing transformation code.
Redbird's AI maps FactSet identifiers (FSYM_ID, PermID, CUSIP) to your BigQuery dimension tables and normalizes financial time series into warehouse-optimized schemas. It handles schema drift when FactSet adds new data fields, automatically maps estimate periods to your fiscal calendar tables, and reconciles currency conversions across geographies. No need to maintain brittle mapping tables or custom parsers.
faster than building custom FactSet-to-BigQuery ETL pipelines
Redbird can pull from BigQuery and FactSet simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either BigQuery or FactSet.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from BigQuery into FactSet, or from FactSet back into BigQuery. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start automations from query results in BigQuery or data updates in FactSet, then act across both platforms.
Trigger when streaming inserts or batch loads add data to a BigQuery table or partition.
Start workflows when a BigQuery scheduled query finishes running, ideal for daily model refreshes.
Monitor a SQL query and trigger when values cross defined limits, such as portfolio exposure breaches.
Write new records into BigQuery tables with automatic schema validation and partitioning.
Upsert data into BigQuery using merge logic to handle inserts and updates in a single operation.
Execute BigQuery SQL with dynamic parameters from upstream workflow data for flexible analytics.
Trigger when FactSet publishes updated consensus estimates or analyst revisions for tracked securities.
Start workflows when FactSet indexes fresh 10-Ks, 8-Ks, or earnings call transcripts for your coverage universe.
Detect changes in institutional holdings, insider transactions, or fund positions published by FactSet.
Pull income statement, balance sheet, and cash flow data for specified entities and time periods.
Extract analyst estimates for EPS, revenue, and other metrics across fiscal periods from FactSet.
Get institutional ownership percentages, share prices, and market cap data for securities from FactSet.
Connect BigQuery and FactSet in minutes with Redbird AI. Stop wrestling with financial data pipelines and start shipping analytics faster.