Data Analysis
What is changing, and where should you look next?
Profile and clean the data, examine trends and explain the findings with explicit assumptions.
Analysis brief · quality notes · recommendations
DATA ANALYSIS · POWER BI · AI WORKFLOWS
Turn scattered data into
clear decisions.
Less time stitching reports together. More time understanding what matters. I help teams turn spreadsheets and disconnected data into useful analysis, clear dashboards and repeatable workflows.
- Understand the business question before building
- Make KPIs consistent and dashboards easier to use
- Use AI thoughtfully, with human review
Start with your question and the data you already have.
Decision-firstA question, not just a chart
Evidence-ledDefinitions and assumptions made visible
EN / VIClear communication in both languages
SOUND FAMILIAR?
Your team needs answers. Not another spreadsheet.
Reports take too long to prepare. The same KPI shows different numbers. A dashboard has plenty of charts, but nobody knows what to do next. The starting point is to clarify the decision, the metric and the data behind it.
Find the right support →HOW I CAN HELP
From a business question to something your team can use.
Choose focused support for one problem, or a connected engagement from analysis to handover. Scope, deliverables and commercial terms are agreed before work begins.
Power BI & Visualisation
Make the report useful, not just attractive.
Define KPIs, organise the model and design report pages around the questions users need to answer.
Report files · metric definitions · handover guide
AI-assisted Workflows
Reduce repetitive work without losing control.
Identify suitable reporting and knowledge-work tasks, prototype an AI-assisted workflow and define where human review is needed.
Workflow prototype · review checkpoints · instructions
Data Governance
Build trust in the numbers behind the dashboard.
Clarify metric ownership, document definitions and identify practical data-quality checks for the reporting process.
KPI register · quality checks · ownership map
Power BISQLPythonExcelAI-assisted workflows
INTERACTIVE EXAMPLES
Four business questions. Four ways to explore.
Explore Finance, Sales, Operations and HR dashboards. Filter the period and business scope to see every KPI, chart and table update. All examples use synthetic data—not client results.
SYNTHETIC DATA / INTERACTIVE DEMO
Finance & profitability
Are we on budget—and what drives profit?
Compare monthly revenue with budget, examine costs and filter by business unit.
Try this dashboard →
SYNTHETIC DATA / INTERACTIVE DEMO
Sales & channels
Which channels bring in the most sales?
Explore revenue, orders and average order value by product and quarter.
Try this dashboard →
SYNTHETIC DATA / INTERACTIVE DEMO
Operations & service
Is the team keeping up with demand?
Compare incoming and resolved tickets, inspect SLA and track the closing backlog.
Try this dashboard →
SYNTHETIC DATA / INTERACTIVE DEMO
People & workforce
How is the workforce changing?
Inspect headcount, hires, exits and period attrition by department.
Try this dashboard →THE ANALYTICS PLAYGROUND
Pick a question. Explore the numbers.
Change the dashboard, period and scope. Hover or tap the charts for details, open the source table, or export the filtered data. These are offline browser demos, not embedded Power BI reports.
ArthurAnalytics.SYNTHETIC DATA · 2026 DEMO
Interactive dashboards use synthetic data only.
HOW WE WORK
A clear path from question to handover.
- 01
Define the decision
Agree the audience, question, scope and success criteria.
- 02
Check the evidence
Review sources, definitions and data quality before drawing conclusions.
- 03
Build & review
Share a first version, test the core questions and refine with your feedback.
- 04
Hand over clearly
Deliver agreed files, assumptions and usage notes. Confirm any ongoing support separately.
THE PERSON BEHIND THE WORK
Business context first. Tools second.
My work spans data governance and analytics, Power BI, tax and transfer-pricing technology, and the use of generative AI in knowledge work. The common thread is making complex information easier to understand and use.
I start with the question your team needs to answer, make the assumptions visible, and choose a practical output—an analysis brief, dashboard or workflow—rather than adding technology for its own sake.
BEFORE WE START
A few practical questions.
Do I need a perfectly clean dataset?
No. Start by describing the sources and known issues. Data access, preparation and quality checks can be included in the agreed scope.
How are price and timing determined?
They depend on the data sources, complexity, deliverables and review rounds. These are discussed before a proposal is agreed; there is no one-size-fits-all price on this site.
Can I share confidential data by email?
For the first conversation, share a non-sensitive description or anonymised sample only. Agree confidentiality terms and a suitable transfer method before sharing sensitive data.
Are the showcase dashboards client projects?
No. They are browser-based demonstrations using synthetic data. No client names, testimonials or commercial results are implied.
LET’S MAKE THE NEXT STEP CLEAR
Ready to make your data
work harder?
Tell me what you need to decide, where your data lives and what you would like to receive. We can then discuss a practical scope and approach.
Discuss your project →contact@nntt-arthur.xyzEmail opens in your mail app. Please don’t send sensitive data in your first message.