Recent content on Data Informed Narratives
An examination of AI-native approaches to M&A and FP&A. Spans enterprise AI platforms, compute allocation strategy, and the critical distinction between production-ready harnesses and non-scalable vibe coding. Let's make Jevons paradox the great reality!
Building an AI-native household management app for busy parents that learns about your family over time and drives actionable workflows rather than piecemeal outputs.
Built a multi-page financial planning dashboard in Streamlit + PostgreSQL to model a 40-year household projection, replacing a multi-scenario Excel model with a fully interactive, scenario-driven application.
A framework for building the most compelling and scalable distribution model for Tier 2+ live sports, including analysis of recent industry announcements, economic models, programming strategy, and the Super App approach.
Ported a Claude Code-built, synthetic Netflix streaming analytics dashboard to a production Sigma workbook, rebuilding the Python data pipeline from scratch.
An examination of the current state of live sports distribution, new and emergent leagues, and why a jagged frontier remains despite growing opportunity.
Interactive KPI & cohort analysis dashboard built with Claude Code.
Migrated personal website from Jekyll to Hugo with a full redesign and new Projects section.
FloRacing 24/7 launched on The Roku Channel, bringing live grassroots racing to millions of viewers across the leading connected TV platform in the U.S.
Led a 0-to-1 subscription, advertising, and engagement demand forecasting data product with agentic workflows integrated into Salesforce, Slack, and Snowflake.
Launched FloSports' first FAST channels on Prime Video and Fubo, bringing live racing and hockey to 130M+ monthly viewers — the only nationally available FAST channel with live hockey coverage.
Evaluating home purchase scenarios and associated investment opportunity costs. Photo by Breno Assis on Unsplash. Part 1 of Home Purchase Scenario Model Analyses. Introduction. For those who have previously considered or are considering the purchase of a home, then this post is meant for you to help customize your scenarios and vet your available options. I hope that you find the included…
Extending Stock Portfolio Analyses and Dash by Plotly to track Robo Advisor-like Portfolios. Photo by Aditya Vyas on Unsplash. Part 3 of Leveraging Python for Stock Portfolio Analyses. Introduction. This post is the third installment in my series on leveraging Python for finance, specifically stock portfolio analyses. In part 1 , I reviewed a Jupyter notebook with all of the code needed to extract…
Expanding Jupyter Notebook Stock Portfolio Analyses with Interactive Charting in Dash by Plotly. Part 2 of Leveraging Python for Stock Portfolio Analyses. In part 1 of this series I discussed how, since I’ve become more accustomed to using pandas , that I have signficantly increased my use of Python for financial analyses. During the part 1 post, we reviewed how to largely automate the…
My two most recent blog posts were about Scaling Analytical Insights with Python; part 1 can be found here and part 2 can be found here . It has been several months since I wrote those, largely due to the fact that I relocated my family to Seattle to join Amazon in November; I’ve spent most of the time on my primary project determining our global rollout plan and related business…
If you would like to read Part 1 of this Series, please find it at this link . A fair amount has happened since my Scaling Analytical Insights with Python (Part 1) post back in August. Since that time, I decided to resign from FloSports in order to join Amazon’s Kindle Content Acquisition team as a Sr. Product Manager -- this obviously includes moving my family from Austin, TX to Seattle. While…
Please note that this post is still under development but a significant amount has now been completed. --> In recent months, I’ve written about some of the critical undertakings and initiatives which I oversee as VP of Product at FloSports. These have included my efforts to build a data informed culture through product experimentation, our overall approach to our analytics tech stack, and our…
As VP of Product at FloSports, I oversee our data warehouse roadmap and manage a team consisting of a senior product manager, product revenue developers, data engineers, and data analysts. Some of the responsibilities that I really enjoy about this work include working at the forefront of business intelligence, leveraging data and product analytics tools such as Periscope Data, Mode Analytics and…
In an ongoing attempt to be helpful to and learn from others serving in similar job capacities, I am continuing to review my experiences in building out our data infrastructure over the past ~12 months and discuss the most helpful applications which currently sit within our analytics tech stack. In my most recent post, Data Informed Experiments , I discussed the difference between being “data…
I am presently VP of Product (Revenue and Analytics) at FloSports, a direct-to-consumer provider of live streaming and on-demand digital sports content. In this role, I focus on product innovations which can drive top-line growth while also overseeing analytics (business, product, and data, among others). Recently, our CEO Martin Floreani has spoken about the business intelligence platform we have…
As an alum of SMU and a staunch follower of the athletics program, particularly men’s football (well, starting again this year) and men’s basketball, I am inherently biased. No matter the decision that the NCAA levied after its 18 month investigation, post announcement I knew that I would immediately rationalize why the punishment was too harsh and plead the case for a lesser penalty. With that…
Major sporting events, such as the Super Bowl, NCAA March Madness tournament, and the Masters were a huge part of my life while I was growing up in Atlanta – and they certainly continue to be so today. In some respects, these events were similar to holidays in that the entire family would oftentimes get together, with additional friends and relatives, to cheer for their favorite athletes and hope…
Kevin Boller Product, Revenue, Business Intelligence and Analytics Professional Technology industry executive with deep technical expertise in AI products and workflows. I’ve led cross-functional teams, driving data-informed strategies and working backwards from customers. My experience spans investment banking, product management (consumer, enterprise, and AI data products), corporate strategy,…
I’m ramping up my activity in the PNW as an active angel investor and advisor to early-stage companies. In the spirit of being a founder-friendly investor and advisor, below are some helpful founder resources: Grubstakes – 20+ individual investors in Seattle that fund and mentor startups in the Pacific Northwest. Seattle Angel – Seattle Angel is a not for profit organization,…
My resources page has some helpful starting points for people looking to expand their skill set and learn more about data analytics and data science. This page also catalogs and organizes the helpful resources I’ve leveraged and/or am in the process of learning from. Data Warehouse | Business Intelligence Applications Periscope Data Mode Analytics Segment Optimizely Best Blogging Sources…