Ask Your Data. Get Answers.

Dashboards go unread.
Questions get answered.

I build AI-powered systems that let anyone on your team get real answers from your business data, in plain English. No training, no waiting on someone to pull a report. Just ask.

Send Your Question

No pitch. Just an honest look at how your team accesses data today.

This is the entire interface.

No filters to configure, no report to find, no training required. Someone on your team types a question and your data answers it.

Ask your data Connected to your CRM
Which reps have deals closing this month?
Six reps, 14 deals. Four are past their original close date. Want me to list those first?
Yes, and who owns them.

An illustration. In your setup the answers come from your own systems.

1

Connect

Secure MCP links to your CRM, databases and spreadsheets. Your data stays where it is.

2

Ask

Anyone types a question in plain English. No filters, no query language.

3

Answer

Real numbers in seconds, and you can follow up. It's a conversation, not a dashboard.

What I Build For You

Natural Language Data Access

“What were our top 10 accounts last quarter?” I connect AI to your existing databases, CRMs and spreadsheets using MCP, so questions like that get answered from real data, instantly.

AI-Powered Data Agents

Not generic chatbots. Agents that know your data model, your KPIs and your terminology. They pull reports, flag anomalies and answer the follow-up question too.

Rollout & Adoption

There's almost nothing to learn, but it still has to be set up right. I handle the connections, access controls, onboarding (usually one session) and support as you grow.

Still want a dashboard? I build those too, when they're genuinely the right answer rather than the default.

The tool was never the problem.
Getting to the answer was.

The old way: build a report, train the team, hope they go find it. Most don't. The data is right there, but getting to it takes someone who knows where to look.

The new way: put a natural language layer on the data you already have, and let people ask.

  • Your team already knows how to ask questions, which is the only skill required
  • MCP-based integrations mean the AI reads your real data, not hallucinated answers
  • Your data stays yours. Private, secure, never used for model training
  • The same data architecture patterns used at Fortune 500 scale, at small business pricing

Clients on working with me

These are from reporting and dashboard projects, the work I did before the rebrand. The plumbing is the same: connecting your systems, securing access, delivering on time. What changed is the interface your team uses at the end of it.

"Dillon was able to use his extensive Power BI knowledge to help us get our Power BI environment up and running successfully. We relied on his experience to help get our data connection to our on-prem SQL Server connected with Power BI so that our employees could access Power BI dashboards from anywhere."

Jim McGregor
IT Director, Olive & Cocoa

"Before Farrar Analytics, our ROI reporting was a time-consuming manual process that pulled our team away from client work. They automated our workflow and built dashboards that give us real-time visibility into campaign performance. The ROI on this project paid. Excellent work from start to finish."

Gabriel Segall
Founder, GSR Media

"They've become our go-to for automated reporting. What sets them apart is their ability to work with whatever reporting tool fits the client's needs — they're not locked into one platform. Every project has been delivered on time with excellent quality. They make us look good."

Michael Broyles
Founder, Agency Insights

Frequently Asked Questions

A dashboard shows you pre-built views of your data. You have to know where to look, what filters to use, and how to read the charts. Headless reporting skips all of that. You ask a question in plain English and get an answer. It's the difference between searching through filing cabinets and asking a colleague who already knows everything in them. Dashboards still earn their place for a metric you watch every day; they just shouldn't be the only door to your data.

Real data, every time. I use MCP (Model Context Protocol) to create secure, direct connections between the AI and your actual business systems: your CRM, databases, spreadsheets, whatever you run on. The AI reads your data to answer the question. It isn't guessing, and it isn't working from a summary someone pasted in last quarter.

Pretty much anything your business runs on. Salesforce, HubSpot, PostgreSQL, MySQL, Google Sheets, QuickBooks, Slack, and more. If it has an API or a database behind it, I can probably connect it. The discovery call is where we map out exactly what you're working with.

Most implementations take two to four weeks. A single data source with straightforward access can be running in under a week. More complex setups (multiple sources, custom security rules, legacy systems) take three to six weeks. Either way you'll have something working to test well before final delivery.

Your data stays in your infrastructure. I set up access controls so team members only see what they're supposed to see, and nothing gets fed into third-party AI training pipelines. I'm happy to walk your IT team through the full security architecture on the call.

Most teams are self-sufficient within a week, because there's genuinely nothing complicated to learn. You just ask questions. I also offer support packages for when you want to add new data sources, adjust access, or expand to another team.

We'll look at what data your team currently struggles to get at, how you're reporting today, and where the real bottlenecks are. I'll tell you what a headless reporting setup would look like for your business, including whether it makes sense for you or not. No pitch, just an honest assessment.

Dillon Farrar

Hi, I'm Dillon.

I spent years building dashboards before I admitted that most of them go unread.

Ten-plus years on enterprise data teams taught me what happens when you put a natural language layer over business data: people who never opened a report suddenly start asking questions. That capability shouldn't be reserved for companies with an enterprise budget.

So I started Farrar Analytics to bring it to everyone else. Any team, any size, asking their data a question and getting a real answer back.

More about me and how I work →

What would your team ask first?

Let's find out what your data can already answer.

Send Your Question