Okay so, you're looking at your data, maybe you've got spreadsheets all over the place, or perhaps a CRM bursting with info, and you know there's gold in there, but you just can't quite dig it out. That's where I come in. I don't believe in over-complicating things. My goal is to help you see what's actually happening in your business, understand why, and then figure out what you can do about it. It's about getting real answers, not just pretty dashboards.
I’ve worked with a few Jacksonville folks already, and the story’s usually pretty similar: they're smart, they're busy, and they need a clear picture, not another complicated system.
## What I actually do for Jacksonville clients
When a Jacksonville business owner comes to me for data analytics or business intelligence, it's usually because they're tired of guessing. Maybe they need to understand why sales are dipping in a specific quarter, or which marketing channels are truly paying off. I'll help you organize your existing data, clean it up, and then build custom dashboards or reports that tell you what you *actually* need to know, without all the extra noise. Think of it as putting all your business's numbers into one place that finally makes sense.
Typical projects often involve setting up a pilot BI dashboard for a specific department (like sales or marketing), building out a custom data model to predict inventory needs, or automating a clunky reporting process that's eating up hours every week. My focus is always on delivering something you can actually use to make better decisions, quickly.
## How a Jacksonville engagement usually goes
1. **Week 1: Discovery & Planning.** We'll kick things off with a detailed chat about your business goals and current data situation. I'll ask a lot of questions about what you're trying to achieve, what data you have, and what keeps you up at night. By the end of this week, I'll have a clear understanding of the project scope and we'll agree on specific deliverables. This usually involves a few calls and me looking through any existing reports or data sources. 2. **Weeks 2-4: Data Wrangling & Initial Build.** This is where I roll up my sleeves. I'll connect to your data sources, clean up any inconsistencies (and trust me, there are almost always some), and start building out the initial data models and report structures. I'll keep you updated regularly, sharing early drafts and getting your feedback to make sure we're on the right track. Expect a quick check-in call every few days. 3. **Weeks 5-6: Refinement & Testing.** We'll go through the dashboards or reports together, making sure they're accurate, intuitive, and answering your key business questions. We'll fine-tune visualizations, adjust calculations, and make sure everything is running smoothly. This is an iterative process, so your input here is super important. 4. **Week 7 & Beyond: Deployment & Training.** Once you're happy with the solution, I'll get everything deployed for your team. I'll also provide training on how to use the new tools and interpret the data, so you're not left in the dark. I'm also available for ongoing support, should you need a tweak or have new questions pop up down the road.
## What it costs, roughly
Look, I'm not gonna pretend this is free. Good data analysis takes time and expertise. Most of my projects are fixed-fee, meaning you know the cost upfront before we even start. For a typical pilot project, like setting up a foundational BI dashboard for a specific area of your business, you're usually looking at a range that starts in the mid-four figures and goes up from there, depending on the complexity and the amount of data we're dealing with. More extensive engagements, or those requiring ongoing support, will obviously be more. I'm always transparent about pricing, and there are no hidden fees. I want you to know exactly what you're getting and what you're paying for.
## Who I'm usually NOT a fit for
I'm just one guy, remember? So, if you're a massive enterprise looking for a team of 50 consultants to overhaul your entire global data infrastructure, I'm probably not your guy. I also tend to not be a good fit for businesses that aren't willing to share their data openly and honestly, or those who expect overnight miracles without any input from their side. My ideal client is a small to medium-sized business in Jacksonville, Florida, that's serious about using their data to improve, but needs a practical, no-nonsense partner to help them get there.
## Getting in touch
If any of this sounds like what your Jacksonville business needs, I'd love to chat. No pressure, no big sales pitch. Just a conversation to see if I can genuinely help you make better use of your data. The easiest way to start is to book a 20-min call directly on my calendar. Just click the button below and find a time that works for you. I'm looking forward to hearing from you!
FAQs — Jacksonville
How do I know if data analytics or BI is worth it for my Jacksonville business?
If you're making business decisions based on gut feelings instead of clear numbers, or spending hours manually compiling reports, it's probably worth exploring. My goal is to show you a tangible return on your investment by providing actionable insights.
What kind of data do you work with?
I work with all sorts – anything from sales figures in your CRM, marketing data from ad platforms, financial data from accounting software, website analytics, and even information stored in spreadsheets. If you've got it, I can probably work with it.
Do you work with companies outside Jacksonville, Florida?
While I love working with local Jacksonville businesses, I do take on projects for clients elsewhere in Florida and occasionally across the US. However, my focus remains on giving a personal, hands-on experience.
What does the first 2 weeks of an engagement look like?
The first two weeks are all about understanding your business deeply and getting the foundational data sorted. We'll have detailed discussions about your goals, and I'll begin connecting to your data sources and starting the initial cleanup and modeling work.
How long does a typical data analytics project take?
Most initial pilot projects for a specific problem or department usually take between 6 to 8 weeks from our first call to a usable, deployed solution. More complex or ongoing needs would naturally take longer, but we always start small.