Skip to content

Data analytics & machine learning consulting

See beyond the numbers.

Clear dashboards and machine learning you can put to work. I build them with you, then hand them off so your team can trust the numbers and act on them.

Arizona State University · Ira A. Fulton Schools of Engineering · W. P. Carey School of Business

Core capabilities

Two capabilities, done well.

I keep the work focused: dashboards that give everyone the same picture of the business, and machine learning that starts only once the decision is clear.

Dashboards & Visualization

Reports your leaders and your staff can both trust, built on metric definitions everyone has agreed on.

  • KPI dashboards for executives and for the teams doing the daily work
  • A shared definitions guide so finance, HR, and operations use the same numbers
  • Filters, drill-downs, and scheduled reports your team will actually use
  • Documentation and training so your team, or anyone who follows, can maintain the work

Machine Learning

Predictive models built around a real decision, so the results get used instead of sitting unopened.

  • A clearly defined use case with an owner and a measurable result
  • Data pipelines and accuracy testing you can explain to a non-technical audience
  • Predictions delivered inside the reports and tools your team already uses
  • Handoff notes, written assumptions, and a plan for monitoring after launch

Free assessment

How ready is your data for dashboards — or a model?

A nine-question self-assessment covering your data infrastructure, your reporting, and your readiness for predictive work. You get a scorecard and clear next steps. No account required.

About 5 minutes · Personalized scorecard · Free

Take the Data Readiness Quiz

Approach

A clear path from question to working system.

I work with you directly and do the building myself. The scope stays tight and we check in often, so you can change direction before too much has been built.

  1. 01

    Clarify the decision

    We start with the decision you need to make, not with a tool. If the question is still vague, we make it specific before anything gets built.

  2. 02

    Assess the data as it stands

    I review your data sources, definitions, and gaps. You get an honest picture of what you can rely on today, and what has to change before a dashboard or a model will hold up.

  3. 03

    Build the smallest system that works

    Dashboards, metrics, or a focused model, with regular check-ins so you can steer the work. I build in the tools you already own whenever that is the better option, rather than replacing what works.

  4. 04

    Hand off and close cleanly

    You get documentation, training, and a system your team owns outright. If you want me to keep maintaining it, I am glad to. If you would rather run it in-house, everything is already documented and ready to pass off.

Ownership

The work is yours, start to finish.

Everything I build for you is your property, documented well enough to pass to someone else at any time. Ongoing maintenance is available because it is useful, not because you would be stuck without it.

You own the work

Dashboards, models, code, and documentation belong to you from the first day. There is no license to renew and nothing held back to keep you tied to me.

Documented as it is built

Documentation is written while the work happens, not assembled at the end. Another analyst could pick up where I left off without a long explanation from me.

Support if you want it

I can maintain your reports and automations on an ongoing basis. You can also bring everything in-house whenever it suits you, because the handoff package stays ready.

Insights

The kind of work I take on.

These are common situations rather than named client projects. They show the problems I see most often and how I approach solving them.

Operations

One view of a complex organization

When HR, housing, dining, and finance each keep their own spreadsheets, leaders spend meetings working out whose numbers are right. One dashboard built on agreed definitions moves the conversation from comparing reports to making the decision.

Planning

Budget and operations in the same frame

Planning slows down when actual results take several exports to pull together. Connecting the budget to operational data such as staffing, occupancy, and volume lets leaders catch problems weekly instead of at the end of the quarter.

Prediction

A model only if someone will act on it

Predictive work starts with the decision it supports, whether that is demand, staffing, or risk. The result is not a file of code. It is a prediction shown where your team already works, with the assumptions written down so someone else can run it again.

About

Gunner Tillemans

Founder & Principal Analyst

I am Assistant Director of Strategic Financial Planning and Integration at Arizona State University. For four years I have built dashboards and analysis that leaders rely on across HR, operations, housing and dining, and other parts of a large organization.

Vantage Point Analytics brings that same work to your organization. I start with the decision you need to make, build the simplest system that answers it, and leave your team with a documented system they own outright — whether they run it themselves or keep me on to maintain it.

More about my background

Next step

If you can describe the problem, it is worth a conversation.

Discovery calls are short and direct. We will cover what you need to see, whether I am the right person to build it, and what a first project would include.