Data and AI Consulting with Microsoft Fabric, Snowflake and Power BI
Kapala Tech is a digital transformation consultancy and Microsoft Solutions Partner serving Brazil, the United States and Canada. Its data and AI consulting builds modern data platforms on Microsoft Fabric or Snowflake, delivers reporting in Power BI, and adds generative AI using Claude from Anthropic, OpenAI, Google Gemini and Azure AI Foundry, so business teams can trust their numbers and put AI to work on their own data.
What does data and AI consulting from Kapala Tech cover?
Kapala Tech covers the path from scattered data to decisions and AI-powered processes: data architecture, ingestion and transformation, governance, reporting, and generative AI applications. You can start at any point, such as fixing a Power BI model, but we always check that the foundation underneath can support what you want to build.
- Data warehouse and lakehouse architecture on Microsoft Fabric or Snowflake
- Data pipelines from ERPs, CRMs and other business systems
- Data modeling and Power BI reports and dashboards
- Data governance: ownership, quality, access and security
- Generative AI applications: document analysis, assistants grounded in your data, classification and extraction
- Machine learning use cases such as demand forecasting and anomaly detection
Microsoft Fabric vs Snowflake: which data platform should you choose?
Both are capable, modern platforms; the better choice usually depends on your existing ecosystem and how you want to manage cost and operations. Kapala Tech works with both, and the comparison below is qualitative and meant to frame the conversation, not replace a proper evaluation.
| Consideration | Microsoft Fabric | Snowflake |
|---|---|---|
| Ecosystem | Deeply integrated with Microsoft 365, Power BI, Azure and Purview | Cloud-agnostic, runs on AWS, Azure or Google Cloud |
| Scope | One SaaS platform for data engineering, warehousing, real-time analytics, data science and BI on OneLake | Data cloud focused on warehousing, data engineering, data sharing and applications |
| Cost model | Capacity-based: you buy capacity shared by workloads | Consumption-based: compute and storage billed by usage |
| Often a strong fit when | You are standardized on Microsoft and Power BI and want one unified environment | You run multi-cloud, share data with partners, or want a platform independent of one vendor’s suite |
| Power BI | Native, including Direct Lake mode | Supported through standard connectors |
How do you use generative AI with company data safely?
Use generative AI on governed data, with access controls that mirror who is allowed to see what, and with a human reviewing outputs where decisions matter. Kapala Tech builds AI solutions that retrieve only the data a user is entitled to, log what the model was asked and answered, and keep sensitive data inside enterprise services such as Azure AI Foundry where that is a requirement.
We choose the model per use case rather than per vendor: Claude from Anthropic, OpenAI models, Google Gemini or models in Azure AI Foundry, depending on the task, data residency and your existing contracts.
- Contract and document analysis: extracting clauses, dates and obligations
- Assistants that answer questions from your policies and knowledge base
- Classifying and routing tickets, emails and requests
- Natural-language questions over business data
- Summaries of meetings, reports and long documents
Do we need a data platform before investing in AI?
For most AI use cases that rely on business data, yes: models are only as useful as the data they can reach. If sales, finance and operations data live in disconnected systems with conflicting definitions, an AI assistant will reflect that confusion.
Use cases that work mostly on documents, such as contract review or policy assistants, can start sooner. A practical approach is to run both tracks in parallel: a quick AI win on documents while the data foundation is built.
Can you improve the Power BI reports we already have?
Yes. Many Power BI problems, such as slow reports, numbers that differ between dashboards, or refreshes that fail, come from the data model rather than from the visuals. Kapala Tech reviews the model, measures, refresh design and security, and can move heavy transformations into Microsoft Fabric or Snowflake so reports stay fast and consistent.
Frequently asked questions
Is Microsoft Fabric a replacement for Power BI?
No. Power BI is part of Microsoft Fabric. Fabric adds data engineering, warehousing, real-time analytics and data science around Power BI on a shared data lake called OneLake.
Can Power BI work with Snowflake?
Yes. Power BI connects to Snowflake through standard connectors, and many companies use Snowflake as the data platform with Power BI for reporting.
Which AI models does Kapala Tech work with?
Kapala Tech works with Claude from Anthropic, OpenAI models, Google Gemini and Azure AI Foundry, choosing per use case based on the task, data requirements and existing contracts.
Can AI read our contracts, invoices and other documents?
Yes. Generative AI combined with document intelligence services can extract fields, clauses and dates from documents and flag items for review, with people approving outputs where decisions matter.
How do we start a data and AI project?
Email contato@kpla.com.br with the decisions or processes you want to improve and the systems involved. Kapala Tech will propose a first use case and the data foundation it needs.
Talk to a specialist
Tell us about your challenge and we will get back to you with a clear next step.