Modern data platform
Data & Analytics
A trustworthy, governed data foundation on Microsoft Fabric, Databricks, or Snowflake — so every dashboard, model, and decision draws from one source of truth.
Outcomes
What this gets you
Data analytics consulting turns scattered operational data into one governed foundation for decisions. OneSolution America designs and builds lakehouse platforms on Microsoft Fabric, Databricks, or Snowflake — delivered in weeks by senior nearshore teams.
Case study How Ourofino consolidated reporting onto one governed data platform- Replace spreadsheet chaos with one governed source of truth
- Ship a modern lakehouse — Fabric, Databricks, or Snowflake — in weeks, not quarters
- Give analysts self-service without losing control
- Every meeting starts with a debate about whose numbers are right
- Reports are assembled by hand from exports and spreadsheets, days after the fact
- Your warehouse predates the cloud, and every change takes a quarter
- Analysts wait on IT for every question because self-service was never made safe
Who this is for
The problems we’re brought in to solve
If any of these sound like your Monday, this practice was built for you.
Typical engagement
A typical engagement opens with a fixed-scope platform assessment (2–3 weeks), then delivers a working lakehouse with your highest-value data domain in the first release — weeks, not quarters.
What we deliver
Capabilities in this practice
Modern data platform
Lakehouse and warehouse architecture on Microsoft Fabric, Databricks, or Snowflake, built to scale and to audit.
Data engineering & pipelines
Reliable ELT with Data Factory and Spark, tested and observable so data lands on time, every time.
Data modeling & semantic layer
Star schemas and a governed semantic model that make self-service safe and metrics consistent.
Data governance & quality
Cataloging, lineage, and quality checks — with Microsoft Purview or your platform’s catalog — so people trust the numbers.
Migration & modernization
Move off legacy warehouses and brittle spreadsheets with a phased, low-risk migration plan.
Real-time & streaming
Event-driven pipelines for operational analytics when yesterday’s data isn’t good enough.
Built on
A modern, cloud-agnostic toolchain
- Microsoft Fabric
- Databricks
- Snowflake
- Azure Synapse
- BigQuery
- SQL
Explore related practices
All services →Business Intelligence
Executive-ready dashboards that people actually use — Power BI, Tableau, or Looker — designed around the decisions your leaders make, not just the data you happen to have.
AI Solutions
Production-grade AI that ships — from copilots and RAG assistants to forecasting and document intelligence, built on Azure OpenAI, AWS Bedrock, or the right model for your stack, and governed for the enterprise.
Intelligent Automation / RPA
Automate the repetitive work that drains your teams — combining Power Automate, RPA, and AI to remove errors, cut cycle time, and free people for higher-value work.
FAQ
Frequently asked questions
The questions buyers ask us before an engagement — answered straight. Anything we missed? Ask us directly.
Microsoft Fabric, Databricks, or Snowflake — which is right for us?
It depends on your existing cloud, licensing, and workloads — Fabric tends to win in Microsoft-centric organizations, Databricks for heavy engineering and ML workloads, Snowflake for cross-cloud simplicity. We work across all three, and the recommendation comes out of the assessment, not a partnership bias.
How long does a modern data platform take to build?
The first governed data domain — sources connected, pipelines running, a certified semantic model, and dashboards on top — is typically live in 8–12 weeks. From there the platform grows domain by domain, each release adding value on its own.
Can you migrate us off a legacy warehouse without disrupting reporting?
Yes — migrations run in phases with the old and new platforms in parallel, so reports are validated side by side before anything is switched off. No big-bang cutover, no reporting blackout.
What does data governance actually include?
A catalog of what data exists and what it means, lineage showing where every number comes from, automated quality checks, and access controls — typically with Microsoft Purview or your platform’s native catalog. It’s what makes people trust the numbers.
Do you hand the platform over or run it for us?
Your choice. Capability transfer is our default — documentation, training, and pairing so your team runs the platform confidently. If you’d rather not build that muscle in-house, a dedicated squad can operate and evolve it for you.
Book a Consultation
Ready to put Data & Analytics to work?
Book a 30-minute consultation. We’ll map your highest-value data and AI opportunities — and show you exactly what the first 90 days could deliver.