| | | | | | March 2026 - Product Update |  | | | | | Join us at Google Cloud Next 2026 in Las Vegas Get a sneak peek into some of the latest advancements in AI and cloud technology at Google Cloud Next this April 22-24 in Las Vegas. | | | | Product News and Updates | | | Self-service Explores in Looker are now generally available You can now upload data files, including comma separated files, Excel files or Google Sheets files, to Looker and query or visualize that data in a Looker Explore without needing to configure a LookML model or set up Git version control. | Embedding conversational analytics is now generally available You can now embed conversational analytics agents directly into your custom applications and internal workflows, allowing users to query data via the UI or API without leaving their specialized tools. | Looker's Visualization Assistant is now generally available You can now customize formatting options for Looker visualizations with natural language, powered by Gemini. Turn this assistant on by enabling Looker with Gemini in your administration panel. | Tabbed dashboards in Looker are now generally available Tabbed dashboards allow creators to organize tiles and filters into separate pages within a single dashboard, providing a second level of structural hierarchy. This streamlines data storytelling and improves performance by loading tiles only upon request, while reducing content clutter and simplifying filter management across tabs. | Conversational Analytics now offers new modes for asking questions You can now select the question mode in Conversational Analytics. Fast mode will attempt to directly map your query to LookML parameters defined in the models that underlie your conversation's Explores, while Thinking mode is intended for more complex analytic requests that go beyond direct LookML lookups. | Enhanced Search in Looker now available in preview Enhanced Search helps you find saved content on your instance using Looker with Gemini, moving beyond keyword matching to interpreting the conceptual meaning of your search queries, letting you search for saved content using business terms or analytical questions. | | See the latest updates from our Help Center for Looker or for Looker Studio. | | | | Product Tips and Data Cloud News | | | Building a conversational agent in BigQuery using the Conversational Analytics API With the Conversational Analytics API, powered by Gemini, you no longer need intricate systems to get insights. The API is engineered to help you build context-aware agents that can understand natural language, query your BigQuery data, and deliver answers in text, tables, and visual charts. | Powering the next generation of agents with Google Cloud databases We are expanding Google's hosted and managed MCP offering to include PostgreSQL with AlloyDB, Spanner and Cloud SQL, as well as Firestore and Bigtable for high-performance NoSQL workloads, and introducing a new Developer Knowledge MCP server. | | | | Customer Showcase | | | How Pet Circle transforms pet care with Looker and Google Cloud Pet Circle utilised Looker and BigQuery to move from fragmented, conflicting reports to a "trusted time" architecture. They have achieved total data consistency and established a scalable foundation for conversational AI and real-time personalisation. | Ocean Network Express navigates to a single version of the truth with Looker Ocean Network Express (ONE) replaced fragmented legacy BI with a unified Looker and BigQuery data platform. Using Looker's semantic layer and a 'Hub and Spoke' model, ONE established global KPIs and is preparing for AI-driven conversational analytics. | Lighthouse illuminates hotel analytics with Looker By choosing Looker, Lighthouse supplemented its analytics strategy from a prescriptive model to a flexible, scalable, AI-ready platform and launched BI Pro. This new tier has driven new revenue, improved margins, and expanded Lighthouse's market reach. | Wego scales travel insights and consistency with Looker's centralized semantic layer Wego transitioned from fragmented, inconsistent data silos to a unified analytical framework using Google Cloud and Looker. By leveraging Looker's semantic layer, Wego has democratized data access for all departments, from finance to product, while laying the foundation for an AI-driven agentic future in travel analytics. | | | | | | | Thanks for reading our monthly update. | | | Happy Reporting, The Looker Team | | | | | | © 2026 Google LLC 1600 Amphitheatre Parkway, Mountain View, CA 94043 | | This email was sent to pulipuli.chen@gmail.com because you indicated that you want to receive announcements about the latest changes, enhancements, and new features from the Looker Studio team. If you do not wish to receive such emails in the future, please unsubscribe here. | | |
