Data assessment
A review of your sources, platform, pipelines and reporting with a prioritized roadmap.
Services
Data Engineering & Analytics
Turn scattered data into dependable insight, with platforms and pipelines that are well modeled, well governed and easy to use.
Overview
What it is
Good decisions, and good AI, depend on trustworthy data. We design data platforms that bring sources together, model them clearly and make them available to the people and systems that need them.
From ingestion to dashboards, we focus on reliability and clarity: automated pipelines with tests and monitoring, shared definitions for key metrics, and governance that protects sensitive data without slowing analysts down.
Capabilities
What we do
- Data platform architecture: warehouses, lakehouses and streaming
- Pipelines and ETL / ELT: ingestion, transformation and orchestration
- Data modeling and governed semantic layers
- BI dashboards and reporting for leadership and operations
- Data quality testing, monitoring and incident handling
- Data governance: cataloging, lineage, access control and master data
- Migrations from legacy warehouses and reporting tools
- Self-service analytics enablement and training
Results
Typical outcomes
- One reliable version of the metrics leaders depend on
- Faster, self-service access to data for analysts and teams
- Pipelines that are tested, monitored and recover predictably
- Clear ownership and documentation of data assets
- A solid foundation for machine learning and AI initiatives
Engagement
How we engage
Platform build
A team that designs and builds your data platform, pipelines and core models, then transfers knowledge.
Analytics delivery
Dashboards, reports and semantic models built with your stakeholders in short iterations.
Technologies
Platforms and tools we work with
SnowflakeDatabricksMicrosoft FabricBigQueryAmazon RedshiftdbtApache SparkApache AirflowPower BITableauPythonSQL
Product names are trademarks of their respective owners and are listed for identification only.
Related services
Often combined with
AI, LLM & Machine Learning
Generative AI and LLM applications, retrieval over your own documents, classical machine learning and MLOps, with governance and guardrails built in.
Cloud Consulting & Migration
Assessments, landing zones and migrations on AWS, Microsoft Azure and Google Cloud, with cost discipline built in.
Application Development & Modernization
Web and API development, legacy modernization, systems integration and quality engineering for software that lasts.
Get in touch
Ready to talk about Data & Analytics?
Share a little about your environment and goals. We'll reply by email to arrange a conversation.
What happens next
- We reply by emailUsually to suggest a short call at a time that suits you.
- We listen and ask questionsAbout your goals, constraints, timeline and current setup.
- You get a practical proposalA clear scope and next step, often a small one.