Building a Sales Analytics Solution with SQL: Project Overview
An introduction to a practical SQL portfolio project that turns operational sales data into useful analysis, business findings, and an analytics-ready foundation.
Data & AI consulting · subcontracting
Build better decisionson better data
Ian Cunningham · Data & AI consultant
I help organisations turn business requirements and complex data into trusted analytics, practical solutions, and AI that works in the real world.
Combining business analysis, data and software delivery, I work across the full path—from understanding the problem and getting the data right to delivering something people can understand, trust and use.
How I help
Connecting business needs, data, and delivery
I help teams understand the problem, shape the data and workflow, and move toward a solution that is useful, maintainable, and credible in a real operating environment.
Business & Solution Analysis
Clarifying complex processes, requirements, data needs, and delivery constraints so business and technical teams can move forward with confidence.
Data & Analytics Foundations
SQL analysis, reporting requirements, data mapping, integration, and processing work that turns operational data into dependable information and a stronger foundation for AI.
Practical AI Implementation
Structured AI workflows, data-processing pipelines, and focused copilots designed around real tasks, clear controls, and interfaces people can trust.
Testimonials
“You need look no further than Ian.”
Debbie, senior project stakeholder
Featured Project
AI Realtor Copilot
Answer real estate questions with a production-ready AI copilot
Let users ask questions about listings, coverage areas, and business operations, and get structured, reliable answers in real time.
Multi-agent orchestration coordinating specialized tasks behind the scenes
Live progress visibility so users can see how answers are generated
Dynamic UI updates that surface listings, details, and structured results
Copilot UX designed around real business tasks, not generic chat
A practical example of how AI can combine structured data, business logic, and responsive interfaces to deliver useful answers in production.
FEATURED INSIGHTS
Practical notes on data and AI systems that need to hold up
Writing on analytics, dependable data, AI implementation, and the delivery details that make technical solutions useful in practice.
Exploring Microsoft's AI Agent Adoption Framework
A practical look at Microsoft's AI agent adoption framework, and why successful agent adoption starts with business value, governance, data readiness, and operational maturity.
The 5% of Enterprise AI Projects That Succeed Aren't Winning by Accident
MIT found that just 5% of enterprise AI pilots are generating meaningful returns. For many project professionals, the reasons why may sound surprisingly familiar.
In the AI Regulatory Landscape, Agentic Graphs Can Make a Lot of Sense
When legal requirements, human approvals, sensitive data, operational guarantees, and governance concerns enter the picture, deterministic workflows start looking a lot more like responsible system design.
What It Takes to Build Production-Ready LangGraph Systems
A production-oriented checklist for LangGraph systems: deterministic tests, evaluations, parallel workflows, control flow, and observability.
Work together
Need someone who can connect business reality with data and technology?
I bring analysis, technical delivery, and practical AI experience together to help shape solutions that people can understand, trust, and use.