Products Built for
Real-World Data Platforms
ProvenBI products accelerate the delivery of modern, governed data platforms by turning complex data environments into scalable foundations for analytics, automation, and AI.
Built on modern, secure, enterprise data platforms
ready for intelligent insights, smarter analytics, and AI.
Exclusive
Data Products
from ProvenBI.
ProvenBI products and accelerators are built from real-world delivery experience, not theoretical use cases. Each product originated from repeat challenges ProvenBI has encountered while architecting and delivering modern data platforms across industries, cloud environments, and operating models. Rather than reinventing solutions for every engagement, ProvenBI codifies proven patterns, architectures, and workflows into reusable products that address the most common points of friction in data platform execution.
ProvenBI's approach is architecture-first and platform-native. Every product is designed to integrate seamlessly into existing cloud and data ecosystems by extending platforms like Azure, AWS, Databricks, Snowflake, and Google Cloud without forcing re-platforming or introducing unnecessary complexity. Governance, security, scalability, and operational discipline are embedded by design, ensuring these products are not shortcuts, but durable components of an enterprise-grade data platform.
Most importantly, ProvenBI products are architected to accelerate outcomes, not just implementation. They reduce time to value, standardize best practices, and enable teams to move faster with confidence whether modernizing legacy environments, enabling analytics and AI, or scaling adoption across the organization. The result is a portfolio of accelerators that turn proven delivery experience into repeatable, reliable building blocks for intelligent data platforms.
LAKEiQ is a prebuilt, AI-ready accelerator for Microsoft Fabric, delivered by ProvenBI, an approved Microsoft ISV partner with a solution listed on the Microsoft commercial marketplace. LakeIQ provides a production-ready lakehouse foundation that supports automated ingestion pipelines, governance frameworks, semantic models, and prebuilt integrations that deploy in weeks, not months.
The Proven Philosophy
The Proven Philosophy is rooted in how ProvenBI builds products intentionally, pragmatically, and grounded in real-world delivery. Every product is born from hands-on experience solving complex data challenges across industries and cloud environments, codifying proven patterns into durable accelerators that remove friction and reduce risk. ProvenBI is architecture-first, not tool-first, designing products to extend modern data platforms with interoperability, scalability, and governance embedded by design. Architected for adoption and impact, ProvenBI's products move organizations from experimentation to execution by standardizing best practices, accelerating time to value, and enabling analytics and AI to operate in production with confidence and measurable business outcomes.
Explore ProvenBI's Products
Discover purpose-built products and accelerators designed to simplify data platform delivery and accelerate analytics and AI outcomes.
LAKEiQ is a prebuilt, AI-ready accelerator for Microsoft Fabric, delivered by ProvenBI, an approved Microsoft ISV partner with a solution listed on the Microsoft commercial marketplace. LakeIQ provides a production-ready lakehouse foundation that supports automated ingestion pipelines, governance frameworks, semantic models, and prebuilt integrations that deploy in weeks, not months.
Data Storage, Data Lakes, etc.
Data Quality, Data Cleansing, etc.
Workflow Automation, etc.
Applications, IoT, Excel Files, etc.
AI, Machine Learning, Statistical
Modeling, Natural Language Processing, etc.
Design the roadmap for intelligent transformation.
- Enterprise Data & AI Strategy
- Platform Roadmaps & Operating Models
- AI Readiness & Prioritization
Build scalable, cloud-native data platforms.
- Cloud & Lakehouse Architectures
- Real-Time and Batch data Pipelines
- Platform Modernization
Establish trust, security, and confidence in data.
- Data Governance & Operating Models
- Quality, Lineage, and Metadata
- Security, Compliance, and Responsible AI
Move from reporting to decision intelligence.
- Self-Service & Embedded Analytics
- Predictive and Prescriptive Insights
- Executive KPIs & Performance
Operationalize intelligence across the business.
- AI-Driven Automation
- Machine Learning Lifecycle Enablement
- Generative AI & Copilots
Proven-Built Applications That Power Execution
- Architect and deliver secure, cloud-native applications
- Integrate APIs, data, analytics, and AI
- Engineer for performance and scalability
Challenges
Modern Data Leaders face.
Today’s data leaders are under pressure to deliver analytics and AI outcomes faster than ever—while operating across fragmented systems, rising complexity, and increasing governance demands. Success is no longer about collecting more data, but about architecting trusted, scalable data foundations that enable real decision-making and innovation.
Fragmented and Siloed Data
- Data spread across cloud platforms, applications, and vendors
- Limited visibility across the full data landscape
- High effort required to reconcile and integrate data consistently
Scaling Analytics Without Losing Trust
- Manual processes that don’t scale with demand
- Inconsistent data definitions and metrics across teams
- Manual processes that slow down daily operations
Governance That Slows the Business
- Governance models that restrict access instead of enabling it
- Lack of automated lineage, security, and policy enforcement
- Regulatory pressure without modern governance tooling
Pressure to Deliver AI Without Readiness
- Executive demand for AI use cases before foundations are in place
- Models trained on incomplete or unreliable data
- High risk of failed or stalled AI initiatives
Adoption Gaps Between Platform and Business
- Analytics that don’t align with operational workflows
- Low usage of dashboards and insights after delivery
- Platforms built for technology, not how teams actually work
The
PROVEN
Philosophy
in Modern Data.
The Proven Philosophy model is how ProvenBI turns modern data strategy into execution. It guides organizations from fragmented data environments to trusted, scalable platforms that support analytics, automation, and AI. By combining modern architecture, disciplined delivery, and hands-on execution, The Proven Philosophy ensures data initiatives move beyond planning and consistently deliver measurable business outcomes.
Unifying Data Across the Enterprise
- Architect and build modern, cloud-native data platforms
- Integrate data across applications, clouds, and vendors
- Create a consistent, trusted foundation for analytics and AI
Enabling Scalable, Trusted Analytics
- Establish shared data models and consistent metrics
- Implement analytics foundations designed for growth
- Reduce manual effort through automation and standardization
Modernizing Governance Without Slowing Teams
- Embed security, access controls, and compliance by design
- Support self-service analytics while maintaining trust
- Enable automated lineage, metadata, and policy enforcement
Preparing Data Platforms for AI
- Build AI-ready data foundations aligned to real use cases
- Ensure data quality, structure, and availability at scale
- Allows organizations to move from experimentation to production
Driving Adoption and Measurable Outcomes
- Deliver analytics and insights aligned to business workflows
- Enable teams through clear operating models and enablement
- Measure success through usage, impact, and long-term value
