Data Integration for Information Technology and Services

Unify SaaS platforms, development tools, and operational systems for faster insights and better service delivery.

Industry-Specific Outcomes

SaaS metrics dashboards consolidating ARR, churn, and CAC data

Developer productivity tracking from GitHub, Jira, and CI/CD pipelines

AI-powered incident management with automated ticket deflection and routing

Infrastructure monitoring dashboards from Datadog, Splunk, and New Relic

Customer 360 views integrating CRM, support tickets, and product usage

Popular Connector Workflows

Source System
Destination
Use Case
GitHub
Snowflake
Developer velocity and code quality analytics
Jira
BigQuery
Sprint planning and project delivery insights
ServiceNow
PostgreSQL
IT operations and incident response analytics
Datadog
Redshift
Infrastructure performance and cost optimization dashboards
Salesforce
Databricks
Customer health scoring and churn prediction

Modern IT Services Data Stack

Integrate development tools, operations platforms, and SaaS applications into unified analytics pipelines.

Alexis Weill
,
Data Scientist
,
Perplexity AI

Compliance Considerations

  • SOC 2 Type II compliance for SaaS providers

  • ISO 27001 certification with AES-256 encryption

  • GDPR data protection and breach notification controls

  • CCPA consumer rights and data deletion workflows

Recommended Connectors

See all connectors

GitHub

repository data, commits, and pull requests

Jira

project management and issue tracking

Salesforce

CRM and customer relationship data

Zendesk Support

customer support tickets and service data

Snowflake destination

data warehouse for analytics

Postgres destination

operational database and reporting

Related Resources

Developer Productivity Analytics Stack with GitHub, Airbyte, dbt, Dagster and BigQuery

Build a GitHub Activity Dashboard for Your Project

Orchestrate Data Ingestion and Transformation Pipelines

Scaling Data Pipelines Kubernetes

Accelerate IT Service Delivery Today

Move faster with secure, compliant, and open-source data integration.