Looker Is It — When It Is Built Correctly.Looker on BigQuery without a well-designed LookML semantic layer is just another SQL query tool — developers writing SQL, analysts copying dashboards, and executives seeing different numbers from different reports. Looker with a governed LookML model is something different: a single definition of every metric, enforced across every report every user runs.Symhas designs and deploys Looker — LookML semantic layer with governed metric definitions, Explores built for each business domain, row-level access controls enforcing data permissions, and Looker Studio or embedded Looker for dashboard delivery — so every user always sees the same numbers from the same source of truth.
Production-Grade on GCP.
Every capability designed, deployed, and documented by Symhas GCP-certified data and AI architects. Fixed price. Production-ready.
Fixed Price. Fixed Timeline.
Four phases with go/no-go gates. Scope and price agreed before week one.
BigQuery dataset and dbt model inventory. Business metric audit — all KPIs identified and canonical definitions agreed with stakeholders. LookML model structure designed. Explore scope per domain agreed. Dashboard migration backlog prioritised by usage.
LookML Views and Explores built for Finance, HCM, SCM, and Sales domains. Metric definitions reviewed and approved by business owners. Row-level security User Attributes configured. Derived tables for complex measures deployed. LookML tests written and CI/CD pipeline configured.
Priority dashboards rebuilt from LookML Explores. Row-level access tested with representative users from each department. Scheduled deliveries and Alerts configured. Looker Studio dashboards for lightweight use cases deployed. User acceptance testing completed.
Looker production environment live. All migrated dashboards validated. Analytics team certified on LookML development and Explore administration. Self-service training delivered. Symhas moves to advisory.
One Definition of Revenue. 500 Locations in Looker. Self-Service Analytics Delivered.
The national retailer had finance, supply chain, and commercial teams running separate BI tools with different definitions of core metrics — Revenue was calculated differently in Tableau (commercial), in Excel (finance), and in the data team Python notebook. Quarterly reconciliation took 3 days.
Symhas built a Looker semantic layer on BigQuery — LookML Explores for Finance, SCM, and Commercial domains with one canonical definition of Revenue, Gross Margin, and Inventory Position, row-level security filtering each team to their region and category, and 47 dashboards migrated from Tableau and Google Data Studio.
Looker Semantic Layer — Retail Production Deployment
“We had three different definitions of revenue across three teams. Every board meeting started with 20 minutes of reconciliation. After Looker, there is one number. The conversation is now about the business, not about whose spreadsheet is right.”
— CFO, National Retailer
We Configure for This Capability.
Enterprise BI platform — LookML semantic layer, Explores, dashboards, scheduling, and alerts.
Governed metric definitions — Views, Explores, Dimensions, Measures, and derived tables.
User Attribute-based data access — department, region, and category filtering in all Explores.
Signed embed and API — Looker dashboards in enterprise portals and applications.
Lightweight public and operational dashboards — Looker Studio on BigQuery for non-Looker users.
Sub-second dashboard performance — BI Engine reservations caching Looker queries on BigQuery.
The BigQuery data warehouse that Looker queries directly via the LookML semantic layer.
Vertex AI & ML PlatformML model predictions surfaced in Looker dashboards alongside operational BigQuery data.
Oracle ERP to GCP IntegrationOracle Fusion Finance, HCM, and SCM data available in Looker via the BigQuery CDC pipeline.
Gemini & Generative AIGemini natural language query on BigQuery data as a complement to Looker dashboard exploration.
We Will Build the Looker Semantic Layer That Makes It One.A 30-minute Looker assessment with a Symhas BI architect. We will review your BigQuery datasets, existing dashboards, and metric governance gaps — and design the LookML semantic layer before the engagement price is agreed.No commitment. No pitch deck. An honest conversation about your data and AI ambitions.