Services / Data, Analytics & AI
Data, Analytics & AI
We build the data pipelines and warehouse first, then the dashboards, forecasts and AI tools that sit on top of them.
Discuss this serviceWhat is included
- Data pipelines and warehousing
- Management and operations dashboards
- Forecasting and machine learning
- Document processing and AI assistants
What we solve
Reports do not match and data sits in separate systems. We fix the foundation first, then build the analysis and automation on top.
Key capabilities
Data pipelines and warehousing
Data loading, modeling and quality checks on a platform that can grow with you.
Management and operations dashboards
Reporting tied to decisions your teams make each week.
Forecasting and machine learning
Demand, revenue and risk models with assumptions you can see.
Document processing and AI assistants
Data extraction and AI assistants for repetitive document work.
How raw data becomes a decision.
The foundation comes first. Dashboards and models are only as good as the pipeline underneath them.
Sources
ERP, CRM, files and APIs
Ingest and checks
Automated loads with quality tests
Warehouse
Organized, documented and trusted
Dashboards and models
Reporting, forecasting and document AI
Decisions
Used in weekly reviews and tracked for impact
Business outcomes
One trusted set of numbers
Faster, better-informed decisions
Less manual work where AI really fits
Common questions
Where should we start with AI?
With a process that is repetitive, high volume and measurable. We help you identify it and test it before scaling.
Do we need a data warehouse before building dashboards?
Not always. With a small number of sources, dashboards can sit directly on your systems. Once reports start disagreeing, a warehouse pays for itself.
Can you work with the tools we already use?
Yes. We work with the databases, ERP and CRM systems you have, and we recommend new tools only where they fix a real gap.
Tell us what you need
Describe the problem and we will reply with a proposed scope, timeline and cost, usually within two working days.
