Okay so, you've landed on one of those city pages, right? You're probably thinking, 'another generic consultant pretending to be local.' Fair enough. I'm not physically in Cleveland, but I've worked with enough businesses there and elsewhere to know that good help is good help, no matter the zip code. What's different about me? Well, for starters, I'm just me. No junior consultants, no sales teams, just direct communication and practical solutions. I focus on understanding what *you* actually need to know from your data and then I go build it.
I’ve seen a lot of data projects go sideways because of overpromising or under-delivering. I'm here to cut through that. My goal is to get you a clear, functional data solution — be it a custom dashboard, an automated report, or even just helping you figure out what data you *should* be collecting. No endless meetings, no 'synergy workshops.' Just honest work to get your Cleveland business better insights.
## What I actually do for Cleveland clients
Most of the time, Cleveland clients come to me because they have data sitting around that they know *should* be telling them something important, but they can't quite get there. Maybe it's sales figures spread across three different spreadsheets, or customer behavior buried in an old database. I come in, sort through the mess, and then build systems to bring that data to life. This often looks like creating custom dashboards in tools like Power BI or Tableau that update automatically, showing you key performance indicators at a glance.
Other times, it's about automating reporting. Instead of someone spending hours every week pulling numbers for a manager, I can set up a script or a process that does it in minutes. Or, it could be a smaller, targeted project: building a predictive model for inventory, or analyzing customer churn to identify patterns. It's all about taking raw data and turning it into something you can *act* on, quickly and reliably, so you can make better decisions for your Cleveland business.
## How a Cleveland engagement usually goes
1. **Initial Chat (Week 1):** We'll hop on a quick 20-minute call, no charge. You tell me what data problems you're wrestling with. I'll ask some questions. If it sounds like something I can genuinely help with, I'll send over a project proposal outlining the scope, deliverables, and a fixed price. This usually happens within a day or two of our chat.
2. **Deep Dive & Data Access (Week 1-2):** If you're good with the proposal, we'll schedule a longer meeting. This is where I really dig into your current systems, understand your data sources, and get the necessary access (securely, of course). I'll want to see your spreadsheets, your databases, whatever you're using. We'll refine the project goals based on what's actually possible and what will deliver the most value.
3. **Build & Iterate (Weeks 2-6, depending on project):** I'll get to work building out the solution. This could be developing a custom dashboard, writing scripts for data cleaning and integration, or setting up automated reports. I'll provide regular updates and often share early versions for your feedback. We'll tweak things as we go to make sure it's exactly what you need.
4. **Delivery & Handoff (Week 6+):** Once the solution is built and tested, I'll deliver it and walk you through how to use it. This isn't just handing over code; it's making sure you and your team are comfortable with the new tools or processes. I'll also provide documentation and usually a couple weeks of post-delivery support for any unexpected hiccups. My aim is for you to be self-sufficient with the new system for your Cleveland operations.
## What it costs, roughly
I operate on a fixed-fee basis for nearly all projects. This means no surprises. After our initial chat and I understand your needs, I give you one price for the whole project. I don't bill by the hour because I think it makes everyone nervous and less focused on the actual solution. Smaller, more defined projects, like setting up a single custom dashboard or automating a specific report, generally fall into a range where you won't have to mortgage the farm. More complex engagements, involving multiple data sources, deeper analysis, or custom model building, will naturally be higher. But again, it's always one clear price, upfront.
## Who I'm usually NOT a fit for
I'm a solo operator, which means I'm not a fit for everyone. If you're a really large corporation looking for a team of 20 consultants to embed in your organization for a year, I'm probably not your guy. If you need a full-time data scientist on staff, I can't be that either. I also tend to shy away from projects that are poorly defined or where the expectations are constantly shifting. I work best with businesses that have a clear problem they want to solve with data, are willing to provide necessary access, and understand that good data analysis takes a bit of focused effort. If you're looking for a 'magic bullet' solution without any internal effort, I'll probably disappoint you.
## Getting in touch
If anything here resonates and you're a Cleveland business owner or manager who's tired of wrestling with your data, let's talk. I'm not gonna give you a hard sell. I just want to hear about your challenges and see if I can genuinely help. The next step is easy: book a 20-min call with me. We'll figure out if I'm the right fit for your data analytics needs in Cleveland, Ohio.
FAQs — Cleveland
How do I know if data analytics is worth it for my Cleveland business?
If you're making business decisions based on gut feelings rather than numbers, or if you're spending too much time manually compiling reports, then data analytics is very likely worth exploring. It's about getting clearer insights faster.
Do you work with companies outside Cleveland, Ohio?
Yes, absolutely. While I'm highlighting my services for Cleveland, I work remotely with businesses across the United States. Location isn't a barrier to delivering effective data solutions.
What does the first 2 weeks look like for a typical project?
The first couple of weeks are all about understanding your specific data challenges, getting access to your relevant data sources, and solidifying the project's scope. We'll have a few focused conversations to ensure I'm on the right track.
What kind of data sources can you work with?
I can work with a wide variety of data sources, including spreadsheets (Excel, Google Sheets), databases (SQL, PostgreSQL), cloud platforms, and even data from various business applications like CRM or ERP systems.
Do I need to have a data science background to work with you?
Not at all. My job is to translate complex data into actionable insights that *you* can understand and use, regardless of your technical background. I'll explain everything clearly without jargon.