01 / SEE CLEARLY
BI dashboards
Your numbers in one dashboard you can actually read. See what’s happening, spot what needs attention, and make your next move.
From scattered data to a clearer picture.
Power BI includedA clearer way to work
Less busywork.
More clarity.
I turn messy business data and repeat tasks into clear dashboards and useful automations. So you can get back to running your business.
A useful dashboard can start with a few hundred dollars. Your scope comes first. We’ll talk through what yours needs.
Small business. Big picture.
Hi, I’m Matt.Your hands-on partner for the details.
Built around your workday✳ Clearer numbers✳ Fewer repeat tasks✳ One person to work with
What I can help with
Make the day-to-day
work better.
You don’t need another tool to manage. You need your numbers, systems, and spreadsheets to make sense.
02 / DO LESS TWICE
AI automation
Repeat tasks, done without you. Complex workflows, simplified and automated.
Less copy-paste. More time for real work.
Built around your workflow03 / GET IT IN ORDER
Excel & spreadsheets
Clean-up, formulas, and reports, from someone who rebuilt a medical center’s fee schedule in Excel.
Give that complicated workbook a fresh start.
Practical, usable reportingA look at the work
Real data.
A more useful story.
A good dashboard starts with a good question. Here’s one from my own work: what’s real activity, and what’s just noise?
GrowthOps BI / Personal project
Busy doesn’t always
mean progress.
I built a Power BI data model to make sense of activity across my software projects. The first finding: automatic saves were making the work look busier than it was.
76 / 117recorded changes were automatic saves.
Separating them made the picture clearer.
Separating them made the picture clearer.
Project activity overviewWEB PREVIEW
10 Jul 2025 – 10 Aug 2026 · Historical snapshot
Human-made changes41automatic saves excluded
Projects analyzed12one connected view
Automatic saves65%76 of 117 changes
Source: my project history. Automatic saves filtered out.
Built on real data. This web preview uses figures from the project’s Python validation report. It is not a Power BI screenshot or a live Power BI report.
Behind the dashboard: the question, the work, the takeaway
01 / The question
Which projects were getting real attention? Raw activity counts mixed hands-on work with automatic saves.
02 / The work
Python prepared the data. A Power BI model connected projects, changes, files, and dates. Separate calculations checked the report’s numbers.
03 / The takeaway
41 of 117 changes were human-made. Filtering the noise made the report more useful for deciding where to focus next.
The person behind the systems
Good with the data.
Grounded in the work.
I’ve worked with the billing, spreadsheets, and everyday processes that keep an organization moving. I care about making the finished work useful to the person who has to use it.
My full background on LinkedIn (opens a new tab)Power BI, put into practice.
Completed DataCamp’s Data Analyst in Power BI track, including Customer Churn and HR Analytics case studies.
Experience beyond the screen.
Spent a year improving billing and collections for a major Chicago academic medical center.
Made for people to use.
Trained managers and 70+ staff on better daily workflows. Clear explanations are part of the work.
Let’s start with your business
Every business
is different.
Tell me about yours.
A messy report? A task you keep repeating? You don’t need a perfect brief. Just tell me what’s slowing you down.
Email me about your projectmsioson2@gmail.com · We can arrange a quick call.
- 01 We talk through what you need.
- 02 I outline the work and a clear quote.
- 03 We agree on the plan before work starts.