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Data Engineering & Business Intelligence (BI) Services in the USA

Turn scattered data into trusted decisions. Stralya designs and delivers modern data platforms, automated data pipelines, and BI dashboards—so leadership teams across the US can act on one version of the truth.
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Overview

From raw data to business-ready insights

In fast-moving US organizations, data is everywhere: ERP and CRM systems, eCommerce platforms, customer portals, marketing tools, operational apps, and spreadsheets. The challenge is not “having data”, but making it reliable, governed, and usable.

Stralya delivers Data Engineering & Business Intelligence as a project-first service: we scope the outcomes, build the pipelines and models, and ship dashboards and datasets your teams can trust. Whether you need a new cloud data platform, a BI layer that standardizes KPIs, or a rescue of an existing analytics stack, we take ownership—end to end.

What make us different:

Project-first delivery: clear scope, clear KPIs, and clear acceptance criteria for every engagement.
Trusted metrics: we define a single source of truth with governed data models and KPI definitions your teams can align on.
Cloud-native by design: scalable architectures on AWS, Azure, or GCP—built for growth and compliance in the US market.
Security & access control: role-based permissions, auditability, and strong data governance aligned with enterprise standards.
Rescue capability: stabilize failing pipelines, fix broken dashboards, and restore confidence in reporting and BI adoption.

Core value

Reliable data. Clear decisions. Measurable impact.

Cloud-Native Data Infrastructure

Cloud-native data infrastructure design, implementation, and operations for high-stakes web and ecommerce platforms in the US and worldwide.

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Real-Time Data for Cloud-Native Web Platforms

Design, build and run real-time data pipelines for cloud-native web platforms that need instant, reliable information at scale across US markets.

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Business Intelligence Services

Cloud-native Business Intelligence solutions that turn your web and ecommerce platforms into real-time decision engines, delivered on a fixed-price, project-first model.

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Delivery approach

A structured approach to Data Engineering & BI

US teams expect speed, clarity, and accountability. Our delivery process is designed to reduce risk and increase confidence—from discovery to production.

We align stakeholders on business goals, reporting needs, and KPI definitions. We map data sources, data owners, data sensitivity, and success criteria for BI and analytics.
We design the target data architecture (warehouse/lakehouse, orchestration, modeling, BI layer), choose tools aligned with your stack, and define governance, security, and environments.
We implement ingestion (batch/near-real-time), transformation, and data quality checks. We build curated models (facts/dimensions) and documented datasets ready for self-service analytics.
We deliver BI dashboards and semantic models with consistent definitions, performance tuning, and role-based access—built for executives and operational teams across the organization.
We deploy to production with monitoring and alerting, train users, and provide ongoing maintenance and evolution under an SLA if needed.

Case Studies

Real solutions Real impact.

These aren’t just polished visuals they’re real projects solving real problems. Each case study 
apply strategy, design, and development.

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Building a Monolithic Headless CMS and Frontend with Next.js

A monolithic headless CMS, engineered with React and Next.js App Router to power high-performance websites, Shopify web development services, and product frontends fast, with clean content operations for non-technical teams.

6

weeks from first commit to a production-ready CMS core.

3x

faster time-to-market for new marketing and product pages.

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View Work

Mandarin Learning Platform Project Takeover and Recovery

Taking over a third-party Mandarin e-learning platform to secure, stabilize and restructure critical cloud-native components for long-term growth.

6

weeks to stabilize and secure the core platform after takeover.

0

critical incidents in production after Stralya’s recovery phase.

View Project Details

Client Testimonials

What Our Clients Say

Professional, fast, and ultra-responsive. A company with a top-notch mindset.

Omar Ouhmad

CEO, Growth Hackerz

A company with a true entrepreneurial spirit: fast, professional, and above all, responsive.

Laurent Phillipe

CEO, MandarinMaster

Popular Questions

Find Commonly Asked Questions

Typically: source system assessment, data pipeline build (ETL/ELT), data modeling, data quality rules, a governed semantic layer, BI dashboards, access control, documentation, and production deployment with monitoring and alerting.
Yes. We design the data layer to serve your current BI tool and improve performance and consistency through a strong semantic model and well-structured datasets, whether you’re on Power BI, Tableau, Looker, or another BI platform.
Yes. We prefer fixed-price delivery when scope and acceptance criteria are clear. If your needs are evolving, we can start with a discovery sprint to lock scope and then move into implementation.
We define KPIs with stakeholders, implement automated data quality checks, add reconciliation controls, document metric logic, and enforce governance so teams rely on one trusted version of the truth.
Yes. We can audit pipelines and models, identify root causes (quality, performance, ownership, tooling), stabilize production, and deliver a remediation roadmap—then execute it with your in-house team.
A focused MVP can be delivered in 4–8 weeks depending on data source readiness and BI scope. Larger enterprise platforms typically require phased delivery over multiple milestones.

Let’s Build Something Great

Tell us about your project, your goals, and your vision. We’ll take care of the tech, performance, and delivery.

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