Diagnostic or advisory engagement
A short, scoped review of a process, report estate or data flow, ending in findings and a prioritised recommendation.
Services
Consulting services
Five service areas, delivered independently or with a small team. Each starts from the business outcome and ends with something measurable.
01 / 05
Business Strategy & Process Improvement
Processes that take less time, fail less often and are clearly owned.
Business analysis and advisory grounded in Industrial Engineering: understand how work actually flows, find where time and value are lost, and redesign it so the improvement can be measured.
What it includes
- Business analysis and advisory
- Requirements gathering
- Process diagnostics and mapping
- Workflow redesign
- Continuous-improvement support
Methods and tools
- Process mapping
- Root-cause analysis
- Time studies
- System modelling
Related work
02 / 05
Business Intelligence & Performance Analytics
Reporting leaders trust, built around the decisions it supports.
Power BI reporting and KPI frameworks for financial and operational performance, designed from the decisions backwards and reconciled to source so the numbers hold up.
What it includes
- Power BI reporting
- KPI frameworks
- Executive reporting
- Financial and operational analytics
- Reconciliation reporting
Methods and tools
- Power BI
- DAX
- Power Query
- Dimensional modelling
Related work
03 / 05
Data Engineering, Automation & Integration
Data that arrives on time, in the right shape, without manual repair.
SQL, ETL and data modelling to connect systems and automate the steps between them, so reporting pipelines run repeatably and fail visibly.
What it includes
- SQL development
- ETL and data modelling
- API integration
- Reporting pipelines
- Workflow automation
Methods and tools
- SQL
- Power Query
- Python
- Azure Functions
Related work
04 / 05
AI Prototyping & Applied Innovation
A clear, evidence-based answer on whether an AI use case is worth pursuing.
Feasibility assessments and controlled proofs of concept for AI-assisted workflows, with structured experimentation and testing before any production decision.
What it includes
- AI feasibility assessments
- Proofs of concept
- Structured experimentation
- Controlled prototype testing
Methods and tools
- Python
- Structured LLM output
- Automated testing
- Evaluation design
Related work
Prototyping and feasibility work only. Production AI deployment is scoped separately, case by case.
05 / 05
BI Optimisation, Governance & Training
Existing BI that is faster, more reliable and understood by the people who use it.
Audits and reviews of existing reporting estates, data-quality and reliability improvements, and practical training and mentoring for analysts and report users.
What it includes
- BI audits
- Semantic model reviews
- Data-quality improvement
- Reliability and performance tuning
- Training and professional mentoring
Methods and tools
- Model review checklists
- Query performance analysis
- Hands-on workshops
Related work
Ways to engage
Fixed-scope project
A defined deliverable — a reporting model, an integration, a redesigned workflow — with agreed acceptance criteria.
Ongoing support retainer
Regular capacity for maintenance, enhancements and advice on existing reporting and data work.
Training workshop
Practical sessions for analysts and report users, built around your own tools and examples where possible.
How an engagement runs
- 01
Understand
Learn how the business works, which outcome matters and who owns the decision.
Stakeholder conversations, current reports and the decision each one supports.
- 02
Diagnose
Map the process and data, measure a baseline, and find the root cause — not the loudest symptom.
Process mapping, timing studies, data profiling and root-cause analysis.
- 03
Design
Design the process, model or system that removes the cause, with the people who will use it.
Requirements, data models, workflow redesign and agreed definitions.
- 04
Deliver
Build, test and validate against source, then document and hand over.
Reconciliation to source, automated tests where possible, handover notes.
- 05
Improve
Measure the result against the baseline and keep improving what the numbers show.
Before-and-after measurement, monitoring and a short improvement backlog.