Looker connects to Tallyfy Analytics through Amazon Athena, letting you build interactive dashboards from your workflow data. Your whole team can click, filter, and drill into process performance - no SQL required.
What you can build
Interactive exploration - Filter and drill down through workflow data without writing queries
Embedded dashboards - Share live analytics with stakeholders who don’t need full BI access
Real-time monitoring - Watch processes unfold with dashboards that update as work happens
Executive overviews - Give leadership a high-level view with drill-down into details
Bottleneck detection - Spot slowdowns in your processes before they become problems
Compliance reporting - Prove SLA compliance with timestamp evidence
Looker connects to Tallyfy’s workflow analytics data through Amazon Athena in about 15-20 minutes by installing a JDBC driver (for self-hosted instances) and configuring an Athena connection with AWS Access Key credentials to query Parquet-formatted process and task data stored in S3 and then build LookML models and dashboards for tracking process durations and team performance and SLA compliance.
Looker Studio can connect to Tallyfy Analytics workflow data through a third-party connector like CData or OWOX in about 10-15 minutes using AWS Access Key credentials to build free shareable dashboards that visualize process volumes and task durations and completion rates without needing an enterprise BI license.
Tallyfy Analytics is an add-on that replicates your workflow data into a private Amazon Athena environment where you can run SQL queries and connect BI tools like Tableau or Power BI to build custom dashboards and track process trends over time.
Tallyfy’s Power BI integration connects your workflow data through Amazon Athena so you can build interactive dashboards for process optimization, team performance analysis and executive reporting.
Footnotes
AWS serverless query service using standard SQL on S3 data lakes, no infrastructure management needed ↩