Experiencing Data w/ Brian T. O’Neill
by Brian T. O’Neill from Designing for Analytics
205 - Everyone Says They’re the Missing Layer in Enterprise AI, So I…
About this podcast
Your B2B analytics product does the hard technical work. So why aren't sales and adoption keeping up?
I'm Brian T. O'Neill, and my podcast, Experiencing Data, is a Listen Notes top 2% global podcast for founders, CEOs, and product leaders at B2B analytics companies: the ones whose product should be winning deals on technical sophistication alone, but isn't.
Maybe competitors have caught up on features and prospects say you all look the same, so you end up competing on price. Maybe customers never discover your best features and use you "like Excel." Maybe your value is algorithmic, and buyers can't see what they'd be paying for—something I call the Invisible Intelligence Gap.
Through solo episodes and interviews with CEOs, founders, and the enterprise data leaders who buy these products, I draw on my work as a product designer and strategy consultant to help you translate technical complexity into commercial clarity: connecting what your data product does to the outcomes, value, and human factors that still matter, even in the age of AI.
Experiencing Data is the only non-technical show about why technically impressive products don't sell or get used, and what to do about it.
Subscribe today on all major platforms or browse the episode archive.
Get 1-Page Episode Summaries In your Inbox:
https://designingforanalytics.com/ed
About Brian:
https://designingforanalytics.com/bio/
Episodes
The newest 20 of 206 episodes
- 205 - Everyone Says They’re the Missing Layer in Enterprise AI, So I Asked Solid’s CEO How He Proves That in a POC · 45 min · Episode 205Yoni Leitersdorf's company, Solid, sells a semantic layer: the plumbing that helps AI agents understand an enterprise's data well enough to do effective, valuable work that…
- 204 - Showing ROI in 30 Minutes, Not Your AI: How Datalogz’s CEO Built a Sticky Enterprise Analytics Product · 43 min · Episode 204Logan Havern's company, Datalogz, sits on top of an enterprise's BI platforms (Power BI, Tableau, Qlik, Databricks Genie, and the SharePoint spreadsheets nobody admits to) and…
- 203 - Engineering Is 6x Faster. Sales Isn't. Here's What Your Team Never Defined. · 41 min · Episode 203What happens when your product team suddenly moves six times faster at delivering features, but your sales and business traction is unchanged? AI, and particularly AI for coding…
- 202 - Surface Tension: The 5 Essential Control Surfaces to Make Your Analytics Product Sell Itself · 31 min · Episode 202What makes an analytics or intelligence product indispensable when technical sophistication alone isn’t enough to drive adoption, renewals, or sales? Why do POCs stall, why does…
- 201 - What Enterprise Buyers Really Want from Analytics Software Companies with David Krauza · 30 min · Episode 201Recently, I met David Krauza, VP of Enterprise Data Strategy and Products & Governance at Comcast, at the 2026 CDOIQ symposium, and after chatting for a bit, he agreed to come on…
- 200 - VC Lessons on GTM, Product, and Moats for Data and Security Startups with Nishkam Prabodh · 48 min · Episode 200I'm talking to Nishkam Prabodh of Venture Guides, an early-stage venture capital firm focused on infrastructure software, cybersecurity, and data. Nishkam explains why strong…
- 199 - Why Your Analytical AI Product Might Need 2 Pitches, Not 1, with Bhaskar Sunkara, CEO (bicycle.ai) · 51 min · Episode 199I’m talking to Bhaskar Sunkara, CEO of bicycle.AI, which provides an AI analyst product designed to monitor revenue-critical KPIs, investigate the business and technical drivers…
- 198 - Ship the Meter: Making Invisible AI Legible to Buyers with Rana Gujral · 49 min · Episode 198Today, I'm talking to Rana Gujral, CEO of Behavioral Signals, which provides AI that interprets human behavioral cues in speech to help route call center conversations more…
- 197 - Agentic AI Isn’t a Moat for Analytics Products. This is · 31 min · Episode 197Everyone is racing to the same place chasing a limited set of buyers—how will your “AI for BI” product stand out? I've been seeing teams heavily invest in copilots, agents…
- 196 - The Unique Challenges and Solutions to Selling API-based Analytics and Intelligence Products · 28 min · Episode 196I've been seeing a recurring pattern with companies selling APIs, MCPs, data feeds, and other developer-focused AI products. While the technology is often sound if not…
- 195 - Buyers Block: Why Your B2B Analytics or AI Product's POC Didn't Close · 27 min · Episode 195It’s a common pattern for teams building B2B analytics and AI products: the proof-of-concept goes well, the buyers sound excited, and everyone assumes the deal is about to…
- 194 - AI for BI: Juan Sequeda on Preparing Your Analytics to Work With LLMs · 50 min · Episode 194If you’re hoping that adding AI to your analytics product or capabilities is going to unlock new revenue, sales, and greater user adoption, but you’re not sure what’s involved in…
- 193 - Faster…or Better? Creating Value with Blue Ocean Thinking and AI-Powered Product Development · 24 min · Episode 193Speed is often confused with good product thinking. The idea is that if teams can ship prototypes, dashboards, and models faster, they will automatically learn faster. But…
- 192 – Product Usage Does Not = Value: Why “Adoption” Metrics Are Misleading You · 47 min · Episode 192I’ve seen this challenge again and again with teams building analytics and AI products: nobody can define what quality to the end user means or how to measure. The answer?…
- 191 - Turning Agents into Software that Sells [Smarter!] with Zig.ai CEO Steve Ancheta · 43 min · Episode 191I'm talking with Steve Ancheta, CEO of Zig, a platform designed to free sales teams from repetitive, non-revenue-generating tasks. CRM and logistical tasks can consume up to 72%…
- 190 - Why Discovering Valuable Analytics Use Cases for Your Product Is So Hard (Even with AI) · 43 min · Episode 190I’ve seen this pattern repeatedly with teams building analytics and AI products: the issue usually isn’t the quality of the models or the sophistication of the data. The…
- 189 - The Invisible Intelligence Gap · 25 min · Episode 189I’ve worked with a lot of teams building analytics and insights products and decision-support systems. The pattern I keep seeing isn’t that the math is wrong or the ML / AI…
- 188 - Can’t Close the Sale? Why Your Product’s UX and Workflow Misalignment Are Killing Sales (Part 2) · 46 min · Episode 188I’m continuing my exploration of a hard truth many leaders of analytics software companies run into: deals don’t stall because the tech is weak. Instead, they stall because…
- 187 - Can’t Close the Sale? The Invisible Reasons Prospects Aren’t Buying Your Technically Superior Analytics or AI Product (Part 1) · 21 min · Episode 187I’m digging into a frustrating reality many teams face: even technically superior analytics and AI products routinely lose deals—not because the KPIs or models aren’t good…
- 186 - Why Powerful AI & Analytics Products Feel Useless to Buyers · 38 min · Episode 186I’m back! After about 7 years (or more) of bi-weekly publishing, I gave myself a break (to have the flu, in part), but now it’s back to business! In 2026, I’ll be focusing the…







