Case Study: Pendo achieves streamlined workflows and predictive analytics with Looker

Pendo optimizes workflows, creates predictive models, and delivers value with data

Pendo, a Raleigh-based digital product platform, faced fragmented data across spreadsheets and SaaS tools that produced conflicting reports and consumed the data team’s time. With manual reporting and multiple “sources of truth,” the company struggled to get timely, consistent insights to support sales, marketing, and customer success as it scaled.

Pendo centralized data in BigQuery, automated workflows with Cloud Composer/Airflow, and deployed Looker as a single source of truth—implemented in about a week with under half-time from two data team members. The change cut manual reporting, enabled self-service dashboards (campaign, customer health, customer stories), and freed data scientists to build predictive models and playbooks, delivering faster decisions, cost consolidation, and measurable business impact across the organization.

Pendo

Tyler Crumpler

Senior Marketing Manager