by AnshumanD | Feb 20, 2026 | Looker
Modern enterprises standardizing on Looker often assume that once dashboards are built, governance will naturally follow.In reality, enterprise data governance in Looker is where most implementations either mature—or silently degrade. Conflicting KPIs, uncontrolled...
by AnshumanD | Feb 5, 2026 | Looker
In the rush to democratize data, many enterprises inadvertently democratized confusion. “Self-service analytics” became a euphemism for “choose your own metrics.” Marketing calculates Churn one way, Sales calculates it another, and Finance...
by AnshumanD | Feb 2, 2026 | Looker
For many enterprises, the implementation of Looker promises a new era of “data trust.” Yet, when the audit cycle rolls around—whether for SOX, GDPR, or industry-specific regulations—the data team is still scrambling. Compliance reports are late,...
by AnshumanD | Jan 21, 2026 | Looker
Most enterprise analytics teams are still running on fragile SQL and Python pipelines that were never designed for scale, reliability, or cloud economics. As CRM, finance, and operations data volumes grow, these scripts become a bottleneck—breaking frequently, slowing...
by AnshumanD | Jan 15, 2026 | Looker
Manual ETL hasn’t disappeared.It has simply faded into the background.Behind many “modern” analytics stacks are spreadsheets passed between teams, scripts only one person understands, and fragile handoffs that quietly slow everything down. The impact goes far beyond...
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