As an analytics consultant for a leading data consultancy, I worked with multiple clients who had adopted Looker but struggled to extract meaningful value from it. Despite the platform’s capabilities, many teams lacked the internal expertise to design performant dashboards or model data effectively.

The result: low adoption, slow queries, and unreliable metrics that hindered business teams from making informed decisions. Critical KPIs were buried, reporting pipelines were misaligned, and analysts spent more time troubleshooting than interpreting insights.

Clients needed hands-on enablement, performance tuning, and structural guidance to make Looker a dependable source of truth—not just another underutilized BI tool.