Modernize legacy BI environments and migrate to Looker with automation‑led precision- unlocking governed analytics, scalable insights, and AI‑ready data on Google Cloud.
One metric. Three answers
Legacy BI Chaos
Legacy BI estates often grow through one-off dashboards, data extracts, and tool sprawl. Over time, this creates inconsistent numbers, performance bottlenecks, and limited governance, making it difficult to scale trusted self-service analytics or enable AI-ready reporting.
Inconsistent Metrics Across BI Tools
Traditional BI environments often rely on duplicated dashboards and independent data extracts, leading to multiple definitions of the same metric across teams.
Key challenges
- Conflicting KPI definitions across dashboards
- Metric logic duplicated across reports
- Limited governance over business logic
Performance Constraints with Growing Data
Legacy BI tools frequently depend on extracts or intermediate data layers that struggle to handle cloud-scale datasets and real-time analytics needs.
Key challenges
- Slow dashboard performance on large datasets
- Heavy reliance on data extracts and refresh cycles
- Limited scalability for modern analytics workloads
Limited AI & Data Platform Integration
Modern AI initiatives require analytics platforms that operate on trusted data models and integrate directly with cloud data platforms.
Key challenges
- AI tools accessing inconsistent dashboards
- Weak integration with cloud data warehouses
- Limited readiness for AI-driven analytics
Move from Legacy BI to
Looker on Google Cloud
As organizations scale data platforms, self-service analytics, and AI initiatives, traditional BI tools often struggle to keep pace with modern cloud architectures. Legacy reporting platforms built around extracts, isolated dashboards, and manual governance create data inconsistencies, performance bottlenecks, and limited AI readiness.
Semantic Data Modeling
LookML-powered governed data models. Create a single source of truth for business metrics across dashboards and teams.
Git-Based Governance
Version-controlled analytics development. Track changes, collaborate safely, and maintain data model integrity.
AI-Ready Analytics
Gemini reasons over trusted metrics, not raw dashboards. AI insights are based on governed, consistent data definitions.
Trusted Metric Layer
Ensure consistent definitions across teams. Align business logic so every report reflects the same numbers accurately.
Analytics at Scale
Deliver insights inside any application. Integrate dashboards and data experiences directly into products and workflows.
BigQuery Integration
Direct performance on BigQuery infrastructure. Query massive datasets with minimal latency and no data movement.
Looker’s Industry-leading Competitive Advantage
Looker’s industry-leading advantage is its governed semantic layer (LookML), where business logic is defined once, version-controlled, and reused everywhere, so every dashboard, embedded experience, and AI workflow runs on the same trusted metrics, directly on the cloud data platform for scale and performance.
Architecture with unmatched flexibility and security
The unique in-database architecture of Looker leverages the power and scalability of modern MPP cloud data warehouses.
Augmented insights on demand
Gain deeper insights effortlessly by asking questions in natural language for anomaly detection and forecasting (beta).
Auto-scaling and serverless
Enjoy built-in high availability with fully managed, auto-scaling, serverless infrastructure.
Deeply integrated with GCP services
Secure private access to GCP data with deep integration into services such as GCS and BigQuery.
Centrally managed Git-versioned modeling layer
Eliminates data silos and inconsistencies with a Git-controlled modeling layer that ensures consistency across your data.
Embedded Analytics for Data Products
Integrate dashboards and analytics directly into applications and business workflows, enabling data-driven experiences for internal teams and customers.
EZConvertBI for Looker
EZConvertBI is Wavicle’s automation‑led BI migration accelerator that systematically analyzes, converts, and validates legacy BI assets into Looker, preserving logic, accuracy, and governance. Migrate your dashboards and unlock Looker’s advanced features with a single click.
90%
reduced migration cost
80%
reduction in manual BI migration effort
80%
fewer errors through automated validation
Agentic AI-BI on Looker
Looker’s Agentic AI‑BI experience brings chat-first, governed analytics to business users through Conversational Analytics powered by Gemini for Google Cloud. Because interactions are grounded in Looker’s semantic modeling layer (LookML), users can ask questions in natural language and get answers based on trusted definitions, rather than inconsistent dashboard logic or ad hoc extracts.
Key Capabilities
- Converse with a Looker Explore: Ask data questions in regular, conversational language and receive governed responses based on approved explores, measures, and dimensions.
- Create and manage data agents: Configure purpose-built agents that guide analysis, standardize how users ask questions, and help teams scale self-service BI with consistent metric interpretation.
- Embed Conversational Analytics in a website or application: Bring chat-with-your-data directly into business workflows and applications so insights translate to action without switching tools.
EZConvertBI Looker
Migration Process
Analyze
Inventory dashboards & usage
Analyze
Inventory dashboards, logic, and usage
Rationalize
Deduplicate and prioritize high-value assets
Rationalize
Deduplicate and prioritize high-value assets
Convert
Automated Looker conversion
Convert
Automated Looker conversion
Validate
Parity testing and QA validation
Validate
Parity testing and QA validation
Deploy
Production rollout on GCP
Deploy
Production rollout on GCP
Leverage AI and Machine Learning on Google Cloud
Cloud migration isn’t just about relocating your data, it’s about unlocking its full potential. With a successful cloud implementation, you can boost your analytics and AI capabilities, driving actionable insights and tools that directly impact your bottom line. At Wavicle, we help businesses harness the power of their GCP data environment to solve challenges and unlock new opportunities with AI, machine learning, data science, and much more.
Industry Analytics Capabilities
Enabled by Looker Migration
Migrating legacy BI environments to Looker on Google Cloud Platform enables organizations to modernize analytics while aligning reporting with industry-specific operational metrics. With a governed semantic layer and native cloud data integration, organizations can scale analytics use cases tailored to their sector.
Retail organizations rely on fast-moving operational insights across inventory, sales, and customer engagement. Looker migration enables real-time visibility across omnichannel retail operations.
Key capabilities
- Unified sales and inventory analytics across channels
- Customer behavior and cohort analysis
- Product performance and demand forecasting
- Marketing campaign attribution and ROI tracking
- Store-level operational dashboards
Manufacturers require analytics that connect production, supply chain, and operational performance across plants and logistics networks.
Key capabilities
- Occupancy and revenue performance analytics
- Guest behavior and loyalty insights
- Property-level operational dashboards
- Dynamic pricing and revenue optimization analysis
- Multi-location hospitality performance tracking
Financial institutions require governed metrics, secure analytics environments, and reliable reporting for compliance and operational decision-making.
Key capabilities
- Production performance monitoring across facilities
- Supply chain visibility and inventory optimization
- Equipment utilization and operational efficiency tracking
- Quality control analytics and defect monitoring
- Supplier performance and procurement insights
Healthcare organizations must analyze clinical operations, patient outcomes, and resource utilization while maintaining strict data governance.
Key capabilities
- Customer portfolio and revenue analytics
- Risk monitoring and exposure reporting
- Fraud detection and transaction analysis
- Regulatory and compliance reporting dashboards
- Branch and product performance analytics
Hospitality businesses rely heavily on occupancy, guest behavior, and revenue optimization analytics to drive operational decisions.
Key capabilities
- Patient flow and care delivery analytics
- Clinical outcomes and treatment performance tracking
- Operational efficiency across departments
- Healthcare cost and utilization analysis
- Provider performance reporting
Blogs
Seven aspects to consider in your Looker journey
Discover the key factors for a successful Looker migration. From data accessibility to governance, we highlight seven critical aspects to streamline your transition and benefit from Looker’s full potential.
Still evaluating your BI migration strategy?
Request a BI environment assessment to understand scope, effort, and modernization options.
Frequently Asked Questions
Queries You Might Want To Ask
EZConvertBI & Looker Migration on GCP
What is EZConvertBI and how does it support Looker migration?
EZConvertBI is Wavicle’s automationled BI migration accelerator that analyzes, converts, and validates legacy BI assets, such as dashboards, reports, calculations, and SQL, into Looker. It reduces manual effort, preserves business logic, and enables a structured, lowrisk transition to Looker on Google Cloud.
Which BI platforms can EZConvertBI migrate to Looker?
EZConvertBI supports migrations from legacy and modern BI platforms including Tableau, Qlik, Power BI, and custom BI implementations. The accelerator analyzes existing BI environments, rationalizes redundant assets, and converts prioritized dashboards into Looker using a governed, repeatable process.
Will my existing business logic be preserved in Looker?
Yes. EZConvertBI is designed to preserve core business logic, including calculated fields, filters, joins, and SQL logic. Where needed, logic is translated into LookML models, ensuring consistency, governance, and reuse across dashboards and downstream analytics.
How does Looker make our dashboards AI-ready for Gemini?
Looker centralizes business logic in a governed semantic layer (LookML), separating metrics from dashboards. This enables Gemini and AI models to reason over trusted, consistent metrics, rather than fragmented dashboard logic, making analytics inherently AI-ready.
How long does a typical Looker migration take using EZConvertBI?
Timelines depend on the size, complexity, and rationalization level of your BI estate. Automation significantly compresses migration timelines by reducing manual rework and enabling parallel conversion, validation, and phased rollout, without requiring a bigbang cutover.
Can we run legacy BI and Looker in parallel during migration?
Yes. EZConvertBI supports phased migration and parallel run strategies.
This allows teams to validate accuracy, onboard users gradually, and reduce operational risk while legacy BI tools and Looker coexist temporarily.
How does EZConvertBI reduce BI migration risk and cost?
EZConvertBI reduces risk and cost by:
- Automating BI asset analysis and conversion
- Identifying unused or duplicate dashboards before migration
- Standardizing validation and parity testing
- Minimizing dependency on manual rebuilds
This leads to lower migration effort, fewer errors, and faster timetovalue.
Why choose Wavicle for Looker migration on Google Cloud?
Wavicle combines deep GCP and Looker expertise with proprietary automation through EZConvertBI.
We help enterprises modernize BI architecture, not just migrate dashboards, ensuring governance, scalability, and AI readiness while reducing migration risk and cost.