What is EZConvertBI
EZConvertBI for Genie is a structured adoption system that helps organizations assess the BI estate, migrate incrementally with governed semantics, and diagnose KPI consistency continuously as Genie scales. You don’t “switch to Genie.” You evolve into it, without breaking what your business relies on.
Databricks Genie can transform how teams ask questions and make decisions, but only when it’s grounded in governed metrics your business already trusts. EZConvertBI for Genie provides a phased, low-risk path to adoption without disrupting existing dashboards, workflows, or KPI definitions.
Operationalize Genie with production-ready Wavicle Agents
Genie requires context, trusted and governed semantics for adoption and scale. Most enterprises already have BI embedded in daily decision-making. The moment modernization changes KPI logic, or creates multiple “versions of truth”, users stop trusting the numbers. Wavicle Agents help operationalize Genie with a production-ready approach that supports lower-cost, faster migration while reducing KPI issues that stall adoption.
| Conflicting KPI definitions across dashboards and teams | |
| Semantic drift as systems evolve | |
| Business users validating answers by exporting to spreadsheets | |
| Previous modernization programs that lost adoption momentum |
Dashboards are interfaces. Decisions are assets.
STEP 1 : Analytics Assessment
Inventory the BI estate. Surface trust risks. Pick the right “Genie-first” domains.
Know what to modernize, without guessing, and identify where KPI trust will break first.
What happens in this step
| Inventory dashboards, KPIs, datasets, and usage patterns. | |
| Identify duplicates, redundancy, and report sprawl. | |
| Flag KPI inconsistency risks and semantic gaps that will derail conversational analytics. | |
| Create a rationalized adoption plan by decision domain (what to keep, migrate, retire). | |
| Help customers decide what stays visual and what goes conversational. |
STEP 2 : Analytics Migration
Move to Databricks without disrupting KPI trust, keep dashboards running while Genie adoption ramps up.
Modernize in phases with a governed semantic foundation, so adoption builds instead of breaking.
What you get (outputs)
| BI Inventory + Usage Snapshot | |
| Rationalization plan (migrate / retire / consolidate) | |
| KPI consistency risk map (where definitions diverge”) | |
| Genie readiness shortlist (best candidate domains for Genie Spaces) |
STEP 3 : Analytics Diagnostics
Monitor KPI consistency and semantic drift continuously, so Genie stays trusted at scale.
Genie adoption succeeds when consistent definitions are maintained, and diagnostics help ensure this positive outcome.
What happens in this step
| Track KPI parity and semantic drift across dashboards and Genie responses | |
| Detect anomalies, definition changes, and unexpected variance early | |
| Monitor adoption signals (usage, question patterns, “unknown answer” events) | |
| Operationalize governance updates and approval workflows |
Capabilities
Modernize the analytics layer behind your retail operating model
EZConvertBI helps retailers move from fragmented BI to governed retail intelligence, preserving KPI trust while enabling faster decisions across merchandising, pricing, store operations, and customer experience
Clinical decisions, compliance, and outcomes depend on a single version of truth
EZConvertBI helps healthcare, life sciences, and wellness organizations move from fragmented BI environments to governed, auditable intelligence on Databricks, data lineage, metric traceability, and regulatory trust while enabling faster decisions across clinical operations, research, revenue cycle, and patient/member engagement.
AI-ready intelligence powering demand, production, and supply chain decisions
EZConvertBI helps manufacturing organizations move from fragmented BI and reporting sprawl to governed, decision-ready intelligence on Databricks, preserving metric integrity, production logic, and operational continuity while enabling faster decisions across demand planning, supply chain, production, and fulfillment.
Trusted intelligence where institutional & regulatory complexity leave no room for error
EZConvertBI helps Financial Services & Insurance firms move from fragmented BI estates to governed, auditable intelligence on Databricks to preserve calculation trust and data lineage while enabling faster decisions across credit risk, regulatory reporting, financial crime, treasury operations, and customer profitability.
Which situation are you in?
Genie Curious, Trust Concerns
Adopt AI-powered analytics confidently while preserving trusted business metrics, reporting accuracy, and operational continuity.
Modernization Pressure + Vendor Deadlines
Create a scalable modernization roadmap that reduces platform costs while ensuring seamless reporting and analytics continuity.
Evaluation & ReliabilityAdoption Stall (Past Modernization Failed)
Drive successful adoption with governed metrics, user alignment, and a phased modernization approach built for trust.
Fragmented BI Estates
Unify fragmented BI ecosystems with centralized governance, reusable semantic models, and consistent business logic.
Why Wavicle
Engineering-led execution that makes AI work
Wavicle helps enterprises make AI real and scalable, grounded in strong data foundations, deep platform expertise, and engineering-led execution.
1000+
dashboards migrated
Up to 90%
faster migration cycles
Up to 80%
fewer KPI/defect issues
Resources
Case Study
Ensemble Health Partners Modernizes Data Governance with Databricks Unity Catalog
Case Study
How Pilot Company is Reducing Costs, Accelerating Results, and Optimizing Operations with Databricks and Wavicle
Blog
Unlocking Real-Time AI by Integrating Transactional Databases with Lakehouse Architecture
Plan your Genie adoption path, without breaking KPI trust
Whether you’re modernizing data platforms, enabling AI, or strengthening governance, Wavicle helps you turn Databricks into a reliable enterprise foundation.
Frequently Asked Questions
Queries You Might Want To Ask
Do we need to be fully on Databricks to start?
No. We can begin with assessment and planning based on your current BI estate and target adoption model.
Will this disrupt existing dashboards?
The approach is phased and designed for continuity. Source and target can run in parallel during migration.
How do you prevent KPI drift?
We combine governed semantic definitions, validation before scale, and diagnostics to detect drift over time.
What’s the fastest way to start?
Run Step 1 (Assessment) on a representative slice of your BI estate, then pick one high-impact decision domain to migrate and operationalize.