Conversational analytics makes data feel less like a specialist tool and more like a shared business capability. Instead of navigating dashboards or waiting for BI teams, business users can ask questions in natural language and receive governed, accurate answers instantly. The shift removes technical friction and expands decision-making across the organization. When conversational analytics is built on Looker’s semantic layer and Google Cloud’s scale, every response respects

For many years, businesses relied almost entirely on dashboards as their primary method of understanding performance. While dashboards still serve an important purpose, they require users to know where reports live, how filters behave, and how different views interact. When these elements are not intuitive, business users often depend on analysts to interpret data or make updates, slowing down decision-making and creating unnecessary friction. This shift toward asking questio

This guide explains how conversational analytics functions inside Looker and how organizations can use it to provide easier access to information. The goal is to offer a clear understanding of the capabilities, underlying concepts and practical considerations involved in adopting this approach.

Learn how to use Looker Studio templates to build dashboards quickly. Replace data sources, customize reports, and save hours with ready-made designs.

This guide explains how to build and use YoY, MoM, and QoQ measures in Looker without relying on spreadsheets or manual calculations. Period-over-Period analysis helps you understand how performance is changing over time by comparing metrics across equivalent periods.

Looker Forecasting helps teams move beyond historical reporting by projecting future values directly inside dashboards. This guide explains how to enable forecasting, configure predictions, interpret results, and use these insights for planning, target setting, and trend analysis without external tools.