Data, Analytics
& AI
Decision Inc. helps organisations modernise fragmented data estates with Databricks, Microsoft Fabric, Google Cloud, Azure, AWS and governed Lakehouse architecture, turning trusted data into faster decisions, advanced analytics and production ready AI.
Decision Inc., Your Advisory-led
Cloud and AI Partner
In the current market, the primary challenge for enterprises is not the procurement of data, but rather the cultivation of trusted, governed, and business-ready intelligence.
Decision Inc. helps enterprises modernise fragmented data estates into secure, scalable platforms for analytics, automation and AI. As an advisory led Cloud and AI partner, and now a Google Cloud Partner, we design and implement modern data architectures across Databricks, Microsoft Fabric, Google Cloud, Azure, AWS, Microsoft Purview, Unity Catalog, BigQuery, Vertex AI, Looker and Power BI.
Assess your AI and data readinessKnowledge & Resources
The AI Ambition is Ahead of
the Data Architecture
Boards are asking where AI will create value. Business leaders want faster decisions. Technology teams are expected to modernise, govern, reduce cost and innovate at the same time.
The constraint is rarely ambition. It is architecture.
AI initiatives fail to achieve scale when built upon fragmented or inconsistently defined data foundations. A dashboard predicated on untrusted data merely invites debate, while a model lacking rigorous lineage introduces systemic enterprise risk.
From Raw Data to
Trusted Enterprise Intelligence
Decision Inc. supports the full lifecycle of modern data and AI transformation, from strategy and architecture to engineering, governance, AI delivery and managed scale.
To drive sustainable value, enterprises must move beyond point solutions toward a unified operating model. Decision Inc. synthesises governance, engineering discipline, and FinOps into a singular framework, rather than treating them as three disconnected initiatives. This approach ensures that cloud-native implementations are both cost-optimised and architecturally rigorous, providing a "Gold Standard" for workspace architecture.
Data Strategy and Architecture Assurance
Assess the current data estate, identify architectural constraints, define the target state and prioritise the roadmap for analytics, AI and enterprise decision making.
Modern Data Platforms and Lakehouse
Design and implement scalable Lakehouse and modern data platforms using Databricks, Microsoft Fabric, Google Cloud, Azure, AWS, Delta Lake, BigQuery and Medallion Architecture.
Explore LakehouseData Governance and Trusted Data Products
Embed governance through access control, lineage, quality, cataloguing, classification, ownership and certified data products using Unity Catalog, Microsoft Purview and Dataplex.
Advanced Analytics and BI
Move from retrospective reporting to decision grade analytics through semantic models, Power BI, Looker, self service analytics, KPI frameworks and business ready data products.
AI, GenAI and Intelligent Applications
Build predictive models, GenAI applications, AI agents, copilots, natural language analytics and domain specific assistants on trusted data foundations.
Optimisation, Adoption and Managed Services
Support the operating model required to sustain value, including DevOps, FinOps, governance forums, platform optimisation, data quality monitoring and enablement.
Technology Platforms That Make
Data and AI Scalable
Decision Inc. works across the modern data and AI ecosystem, with capability across Microsoft, Databricks, Google Cloud, AWS and adjacent enterprise platforms.
Lakehouse architecture, data engineering, Delta Lake, Medallion Architecture, machine learning, AI workloads and scalable analytics.
Unified analytics, Lakehouse, data engineering, real time reporting and Microsoft native business consumption.
Cloud data platforms, analytics and AI using BigQuery, Vertex AI, Looker, Dataplex, Cloud Storage and Gemini enabled innovation patterns.
Cloud data platforms, AI services, scalable storage, modern application architectures and enterprise cloud modernisation.
Governance, lineage, access control, classification, compliance and trust across data and AI assets.
Executive reporting, semantic models, self service analytics and governed business consumption.
Proven Outcomes Across Complex
Data and AI Environments
Our Data & AI Technology Partners
Assess Whether Your Data Estate
is Ready for AI
Most organisations ask which AI use case should be built first. A better question is whether the data estate is trusted, governed and scalable enough for AI to influence decisions. Decision Inc. will help identify where data fragmentation is limiting performance, which governance gaps create risk, which platform direction is appropriate and what roadmap will deliver measurable value fastest.