Build an AI Ready Lakehouse
Across Databricks, Microsoft Fabric and Google Cloud
Legacy data platforms were not designed for the speed, governance and intelligence requirements of AI. Decision Inc. helps organisations design, implement and scale governed Lakehouse architectures across Databricks, Microsoft Fabric, Google Cloud, Azure and AWS.
The Result is a Trusted Data Foundation
That Connects Fragmented Systems
Decision Inc. helps organisations design, implement and scale governed Lakehouse architectures. The result is a trusted data foundation that connects fragmented systems, improves decision confidence and enables analytics and AI to scale securely.
Start your Pivot to Lakehouse AssessmentKnowledge & Resources
Data Volume Has Increased.
Decision Confidence Has Not.
Many organisations have invested in data warehouses, data lakes, dashboards and cloud platforms. Yet business leaders still face the same problems.
The purpose of a Lakehouse is not to store more data. It is to create a governed operating layer where data, analytics and AI can scale with trust.
A Lakehouse combines the flexibility of a data lake with the structure, governance and performance expected from enterprise analytics.
Most Lakehouse Failures are
Operating Model Failures
The technology is rarely the only issue. Lakehouse programmes often stall because organisations underestimate the decisions required around ownership, governance, adoption and platform economics.
Tool Selection Without Assurance
Platform choices are made before clarifying operating model, governance requirements and data product strategy.
Governance Added Too Late
Access control, lineage, classification, quality and ownership are treated as compliance activities rather than design principles.
Legacy Systems Remain in Parallel
The Lakehouse is added to the estate, but legacy reporting processes are not simplified or retired.
Business Adoption is Weak
Business teams continue using spreadsheets, extracts and local reporting because trusted data products have not been embedded.
AI Moves Too Early
AI pilots are launched, but cannot scale because the underlying data lacks quality, traceability or governance.
We Help Clients Design the Lakehouse
as an Enterprise Capability
Decision Inc. brings advisory, architecture, engineering and adoption capability together to help organisations move from platform implementation to measurable business value.
Architecture Assurance
Assess the current data estate, identify platform duplication, clarify the target architecture and define the migration path from legacy environments.
Platform Design and Implementation
Design and implement Lakehouse architectures using Databricks, Microsoft Fabric, Google Cloud, Azure, AWS, Delta Lake, BigQuery and Medallion Architecture.
Governance by Design
Embed governance from the start using Unity Catalog, Microsoft Purview, Dataplex, quality frameworks, lineage, sensitive data classification and certified data products.
Data Engineering and Automation
Build automated, reliable pipelines that reduce manual effort, improve performance and deliver curated data for analytics and AI.
AI and Analytics Enablement
Prepare the Lakehouse for Power BI, Looker, advanced analytics, machine learning, GenAI applications, AI agents and business self service.
FinOps, DevOps and Managed Scale
Implement controls for deployment, monitoring, cost visibility, platform optimisation and ongoing support.
Built Across the Platforms Enterprise
Data Teams Are Standardising On
Decision Inc. works across the modern data and AI ecosystem, with deep capability across Databricks, Microsoft Fabric, Google Cloud, AWS and adjacent enterprise platforms.
Scalable data engineering, Delta Lake, Medallion Architecture, machine learning and AI workloads.
Unified analytics, Lakehouse, data engineering, business reporting and Microsoft native consumption.
BigQuery based analytics, Vertex AI use cases, Dataplex governance, Looker consumption, Cloud Storage and cloud native AI innovation.
Scalable cloud data architecture, AI services, modern data pipelines and enterprise cloud modernisation.
Scalable storage, integration, orchestration and cloud data movement.
Governed assets, reporting and self service analytics across the Lakehouse estate.
Start with Architecture Assurance
Before Platform Expansion
The assessment helps organisations determine whether their current data architecture is fit for analytics and AI scale. Is your current data architecture fit for analytics and AI scale?
Start your Pivot to Lakehouse Assessment
Lakehouse and AI Outcomes
Delivered by Decision Inc.
Our Lakehouse Technology Partners
Book a Pivot to
Lakehouse Assessment
A Lakehouse is the foundation for the next generation of analytics and AI. The value comes from the decisions around architecture, governance, adoption, cloud platform fit and operating model.