Connect your revenue, product, and marketing data sources into a unified analytics system.
Modern analytics requires combining data from multiple sources: payment processors, CRMs, ad platforms, product databases, and customer support tools. Each integration involves extracting data via API or direct database connection, transforming it into a consistent schema, and loading it into your warehouse on a schedule.
Integration reliability depends on three things: handling API rate limits and retries, detecting schema changes before they break dashboards, and maintaining historical data integrity during backfills. Most failures happen during schema migrations when source systems add or rename fields without warning.
Choose between pre-built connectors (Fivetran, Airbyte) for standard sources and custom pipelines for internal systems or unusual APIs. Pre-built tools work well for common SaaS apps but lack flexibility for complex transformations or proprietary data formats. Custom pipelines give full control but require ongoing maintenance when source APIs change.
Sync revenue, subscriptions, and events into your analytics stack.
Capture raw event data for product and funnel analysis.
Centralize CRM and pipeline data for reporting and forecasting.
Connect marketing and lifecycle data into analytics models.
Stream app events and state changes for behavioral analytics.
Integrate Zendesk or Intercom data for churn and retention insights.
We build custom solutions tailored to your specific technical requirements and business constraints.
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