Find out why things happen in your numbers.
Most small businesses collect a lot of data and have no one to make sense of it. I find out what it already says, and why the things you can't explain keep happening.
Book a free 30-minute callNo pitch, no obligation. Just a conversation about your business.
Does this sound familiar?
- "Every time we do X, Y happens, and we don't know why."
- "Our data is spread across spreadsheets and software, and I don't fully trust it."
- "I'd like to make decisions with evidence, but I can't justify a full-time analyst."
That's what I'm here for. I bring a background in math and statistics, and I explain the answers in plain English.
The Data Audit and Quick Wins
A short, fixed-price project that shows you what your data can do for you.
What you get
- A plain-language map of the data you have and where it lives
- A straight answer on what's trustworthy and what isn't
- 2-3 quick wins from data you already have
- My best read on the "why" behind your biggest question
- A ranked roadmap of what to do next
- A written report and a call to walk through it
How it works
- A free 30-minute call to see if it's a fit
- A kickoff call to agree on your question and get access to your data
- About two weeks of analysis
- A readout call and your report, within three weeks of kickoff
What it costs
One fixed price, agreed before we start. It's based on the time your project takes, so you only pay for the work you need. No hourly billing, no surprises.
Your data stays yours
Handing over business data takes trust. Here is how I handle it.
- I use your data only for your project, and for nothing else.
- It is kept in a private location, not shared with anyone.
- I only need data you can export or that I can read without changing it.
- When the project is done, I delete it or return it to you, whichever you ask for.
Sample work
Three examples of how I work. The audit uses a public dataset, not a client's data. The two case studies are real projects from a previous analyst role, described by method only.
Sample audit: why did sales drop 25% in April?
The monthly totals said something was wrong, but the daily numbers showed it was mostly a short month. The report shows how I tell the difference and ends with a ranked roadmap.
Read the sample auditCase study: where does an incentive stop paying off?
Extra incentive buys less and less past a certain point. I found that point for each product group and priced the trade-off in dollars.
Read the case studyCase study: testing a tiered program before changing it
Before anyone moved the tier lines in a rewards program, I tested each proposal on last year's customers. That showed the cost and who would win, so the decision rested on numbers.
Read the case studyAbout me
I'm Titus Christofferson, and I run Monroe Analytics from eastern North Dakota, in the Upper Midwest. I have a background in math and statistics, worked as a data analyst, and I'm currently a data engineer building data systems for a living. I care about getting the answer right, and explaining it so you can use it.
You can check my background on LinkedIn.
Let's talk
Book a free 30-minute call, or send me a note.