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Google Looker Analytics

Data That
Delivers.

Empower your teams with self-service insights and a unified semantic layer for all your business data. Data that delivers actionable results.

Google Looker Capabilities

Semantic Layer (LookML)

Centralised business logic that ensures everyone works from the same data definitions.

Self-Service Analytics

Business users explore data without writing SQL using Looker Explores.

Embedded Analytics

Embed Looker dashboards inside your SaaS application or customer portal.

BigQuery Integration

Native connection to Google BigQuery for fast analytical queries at scale.

Data Governance

Row-level security, field access controls, and centralised metric governance.

Scheduled Delivery

Automated report delivery via email, Slack, and webhooks on custom schedules.

Looker Use Cases

SaaS Companies
E-commerce
Healthcare Analytics
Financial Services
Marketing Analytics
Supply Chain BI

5x

Query Speed

80%

Reduced Report Time

Looker Implementation Path

01

Data Source Audit

Identify all data sources and analytical requirements.

02

LookML Modelling

Build the semantic layer with views, explores, and measures.

03

Dashboard Design

Create user-friendly dashboards for each business area.

04

Access Control

Configure row-level security and user groups.

05

Training & Adoption

Empower business users to self-serve with Looker.

Why Dynamics 365?

The difference between standard ERPs and our Engineered Solution.

Feature
Standalone Software
Dynamics 365
Data Governance
Manual Processes
Centralised LookML Layer
Self-Service
IT Bottleneck
Business User Explores
Embedding
Complex & Costly
Native Embedding API
Scale
Performance Issues
BigQuery-native Speed
PROJECT_INITIATION

Explore Data,
Drive Decisions.

Get a free Looker consultation from our certified Looker developers.