I began my analytics career around the time the book (and then movie) Moneyball become wildly popular. Just like the book revolutionized baseball, I saw data revolutionizing traditional industries, providing me early insight into data’s transformative power.Now, I use my experience to help mid-market companies use their data to grow with confidence.I spent the first 10 years of my career building data infrastructure and analyzing data for others. I started out analyzing tens of thousands of calls to drive KPI improvements and workforce planning optimization for a Samsung contact center. I also spent time as a database administrator for a B2B SaaS app, ran a client-facing business intelligence team, and did Data, DevOps, and Infrastructure work in AWS, GCP, and Azure.Next, I spent just under 5 years as an executive managing product, marketing, and technology for an e-commerce company. We made the unique decision to unify these diverse groups so they could work together more seamlessly, and it paid off.We ran the business like a tech company. We invested in a robust data infrastructure to manage our first-party customer data and capture data for our data-hungry pricing, paid advertising, and inventory planning algorithms. I put together a world-class team of employees, contractors, and partners, all fueled by data.What results did we get?📈 Company Revenue ⬆️ $27 to $60 million 📈 Organic Traffic ⬆️ 80,000/mo to 1,000,000/mo📈 Gross Margin ⬆️ 12% increaseNow at Agreeable Data we apply these learnings to help other companies grow with certainty.Who do we help?Mid-market companies who want to own their own data. We provide a fractional data team coupled with the latest technology to enable you to give each employee, vendor, and partner the data they need to drive efficiency and growth.What do we do?Our fractional data team manages data infrastructure, analytics, and reporting for your company.Guidance: We provide executive guidance to ensure you don't over-engineer, overspend, or waste time on unproductive rabbit trails.Data Engineering & Architecture: Build right from the start. A properly designed data foundation keeps data organized, flowing smoothly, and scaling seamlessly - and also enables you to be AI ready.AI, Data Scientist, & Analytics: We can help you set the right price for your product, reduce stockouts, forecast sales, reduce customer churn, increase customer lifetime value, and much more. This is the "fun stuff" that can happen when you have the right data foundation and a data team working together.