Normalized claim
Dashboard count reduced: 25 dashboards
developers delivered the same insights with just 25 dashboards rather than 60
OfficeRnD builds embeddable BI platform using Looker and plans Gemini in Looker for natural-language insights
Use case typeCustomer experience analyticsUpdated Jun 13, 2026
OfficeRnD built a central Data Hub and embedded Looker into its product with Looker Embedded and LookML to replace many static dashboards with dynamic, role-based analytics for customers. The company also announced a proof of concept with Gemini in Looker for natural-language insight queries.
- Organization
- OfficeRnD
- Industry
- Real Estate
- Location
- United States
- Published
- May 2026
Reported outcomes
Bookings increase: 6×
Revenue & growth
Dashboard count reduced: 25 dashboardsDashboard count replaced: 60 dashboardsCustomer count served: More than 1,000 customers
Planned next steps
- The source says the pilot could deliver: Developing natural-language insight queries.
- OfficeRnD eliminated latency issues and could offer advanced analytics to customers in Australia.
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Dashboard count replaced: 60 dashboards
just 25 dashboards rather than 60
Normalized claim
Customer count served: 1,000 customers decrease
More than 1,000 customers realized faster, more reliable access to their dashboards
Normalized claim
Bookings increase: 6 x increase
increased bookings sixfold in one month
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- OfficeRnD
- Provider
- GCP
- Maturity
- PoC
- Linked source
- Google Cloud Customer Story
The company also announced a proof of concept with Gemini in Looker for natural-language insight queries
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 3
- 1Embedded analytics
- 2Business intelligence
- 3Self-service analytics
- OfficeRnD built a central Data Hub on Snowflake and embedded Looker into its product using the Looker API and Looker Embedded.
- The team used LookML to create a semantic layer, added row-level and role-based access controls, templated dashboards with Liquid, and scheduled automated report delivery.
- The company is also building a proof of concept with Gemini in Looker for natural-language queries.
- More than 1,000 customers got faster, more reliable dashboard access.
- The company reduced the analytics experience from 60 dashboards to 25 dynamic dashboards.
- One beta Growth Hub customer increased bookings sixfold in one month.
Architecture
OfficeRnD created a centralized Data Hub on Snowflake and embedded Looker into its product by wrapping it with the Looker API. The implementation uses Looker Embedded, LookML for a semantic layer, Liquid templating for dynamic dashboards, and row-level/role-based access controls. The company also stated it is building a proof of concept with Gemini in Looker for natural-language queries.
Sources & evidence1
Evidence: Medium65/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublished: May 30, 2026Publisher: Google CloudEvidence: PrimaryConfidence: High
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