Looker & Business Intelligence

Transform data into actionable insights with enterprise BI that empowers every team to make data-driven decisions

Analytics That Can't Keep Up

Your business teams are drowning in spreadsheets, waiting days for reports, and making decisions based on outdated data. Analysts are overwhelmed with repetitive requests. Different teams use different numbers, creating confusion and mistrust in the data.

You need a modern BI platform that enables self-service analytics, ensures everyone works from the same trusted metrics, and scales from hundreds to thousands of users without compromising performance or governance.

Enterprise BI Excellence

Joon Solutions is a Google Cloud Data Analytics and Marketing Analytics Partner with deep expertise in Looker and modern BI platforms. We've delivered 100+ BI implementations across industries, helping organizations democratize data access while maintaining governance and quality.

Our approach goes beyond technology deployment. We design semantic layers that become your single source of truth, build intuitive dashboards that drive action, and establish self-service frameworks that empower business users while freeing analysts to focus on high-value work. Whether you're implementing Looker for the first time, migrating from legacy tools, or optimizing an existing deployment, we have battle-tested methodologies to ensure success.

Google Cloud Partner
100+ BI implementations
Looker Delivery Verified

Comprehensive BI Services

Looker Implementation & Migration
End-to-end deployment from architecture design to go-live, including migrations from Tableau, Power BI, or legacy BI tools
LookML Development & Optimization
Build robust semantic layers with LookML best practices, performance optimization, and comprehensive documentation for maintainability
Dashboard & Visualization Design
Create compelling, actionable dashboards following UX best practices with drill-downs, interactivity, and mobile responsiveness
Embedded Analytics & Custom Applications
Integrate Looker into your products or internal applications using embedded dashboards, API integration, and white-labeled experiences
BI Platform Assessment & Selection
Evaluate BI tools based on your requirements, conduct proof-of-concepts, and provide vendor-neutral recommendations
Self-Service Analytics Enablement
Design data models and training programs that empower business users to explore data and answer their own questions
Looker Health Checks & Optimization
Audit existing Looker instances for performance, governance, and best practices with actionable recommendations
Multi-Tool BI Strategy
Architect hybrid BI environments combining Looker, Tableau, Power BI, or Sigma based on organizational needs and use cases

Our BI Implementation Framework

A proven 4-phase approach: Discover → Design → Develop → Deploy

1
Discovery & Requirements
Understand business objectives, key metrics, user personas, and use cases. Map current analytics processes and identify gaps and opportunities.
2
Design & Architecture
Design semantic layer (LookML models), dashboard wireframes, access controls, and deployment architecture. Establish naming conventions and governance policies.
3
Development & Testing
Build LookML models, create dashboards, implement row-level security, and conduct comprehensive testing with end users and stakeholders.
4
Deployment & Enablement
Launch to production with phased rollout, conduct user training, establish support processes, and monitor adoption metrics.

See it working

Each demo is built the way we build for clients: a governed Looker semantic layer first, then AI on top of it. Sign in with Google or a work email to open one.

All demo data is synthetic.

Retail
Retail Intelligence Suite
A promotion either pays for itself or quietly eats margin. See pricing and promotion ROI across 231 stores, live.
- Looker
- BigQuery
- Gemini
- Vertex AI
Explore the demo: Retail Intelligence Suite
Data analytics
Looker Conversational Analytics Validator
Ship Looker Conversational Analytics with confidence: automated accuracy scoring that shows what breaks and how to fix it.
- Looker
- Conversational Analytics
- BigQuery
Explore the demo: Looker Conversational Analytics Validator

Proven Results

Real-world outcomes from client engagements

Looker Migration for SaaS Company

SaaS

60%Cost Reduction
10x fasterPerformance Gain
85%User Adoption

Challenge

A B2B SaaS company relied on Tableau for analytics but struggled with slow dashboard performance, high licensing costs, and inability to embed analytics in their product for customers. Migration risk and user adoption concerns delayed modernization.

Solution

Migrated 150+ Tableau dashboards to Looker over 12 weeks. Rebuilt semantic layer in LookML for consistency and performance. Implemented embedded analytics for 500+ customers. Conducted comprehensive user training and change management.

Results

Reduced BI licensing costs by 60% while expanding from 50 to 300 users
Improved dashboard load times from 30+ seconds to under 3 seconds
Launched customer-facing analytics generating $200K ARR in first year
Achieved 85% user adoption within 6 weeks of launch

Marketing Analytics for E-commerce Brand

Retail

Real-timeReporting Speed
+35%Marketing ROI
7Data Sources Unified

Challenge

Marketing team manually compiled data from Google Ads, Facebook, email platforms, and web analytics into spreadsheets. Campaign performance analysis took 2-3 days, making optimization impossible during active campaigns.

Solution

Implemented Looker with automated data pipelines from all marketing sources. Built real-time marketing dashboards showing campaign performance, attribution modeling, and customer journey analytics. Created self-service explores for ad-hoc analysis.