Analytics

topic on 9 shows · 18 statements across 17 episodes

the Y Combinator Startup Podcast Startups For the Rest of Us Lenny's Podcast the Official SaaStr Podcast A Product Market Fit Show Capital Allocators the MAD Podcast the a16z Podcast 20VC

18 statements about Analytics, every show

Reimer: Users are highly unlikely to click outbound referral links from ChatGPT
“Odds that they're clicking a link from ChatGPT to your site so that ChatGPT will literally show up in analytics is pretty slim.”
Derrick Reimer Apr 28, 2026 ▶ 18:22 Episode 830 | Breaking Through Plateaus, Zero-Click Marketing, an...
AI Reliability Challenges Are Dramatically Amplified in Enterprise Data Analytics
“So all the things that you hear about, like, AIs, challenges, they get dramatically amplified when it comes to analytics.”
Soham Mazumdar Sep 2, 2025 ▶ 44:15 He quit Google, launched Rubrik—then grew to $1B ARR & a $16B market cap. | Soham Mazumdar, Co-Fo... · PMF Show
MAD Insight
Ramaswamy: Sub-50ms streaming for analytics has limited practical use and high cost
“Practical uses of true sub-fifty millisecond streaming for analytics is quite limited and somewhat expensive.”
Sridhar Ramaswamy Apr 10, 2025 ▶ 1:10:42 Snowflake CEO on Winning the AI Arms Race
Lachs: Analytics must drive business impact, not act as a support desk
“The first is I believe that analytics should have a seat at the table, just like engineering and product and sort of the business folks, the operators. For me, analytics is a business impact driving function and not purely a service function.”
Jessica Lachs Jul 14, 2024 ▶ 5:03 Building a world-class data org | Jessica Lachs (VP of Analytics and Data Science at DoorDash)
Centralized analytics teams are superior to embedded analysts, says Lachs
“I think there are people out there who think that analytics should be embedded into business units. I strongly disagree. I believe a central model, a center of excellence is superior and I'm happy to talk about why, but that's something that I feel quite stron…”
Jessica Lachs Jul 14, 2024 ▶ 5:55 Building a world-class data org | Jessica Lachs (VP of Analytics and Data Science at DoorDash)
20VC Insight
Narayanan: Core data analysis requires only indexing and asking 'so what?'
“I'd also say that in terms of analytics itself, there are literally only two things you need to do. One is indexing. Which is you want to see if things are unindexed or overindexed in anything you're comparing and benchmarking. And the second thing is asking t…”
Chandra Narayanan Mar 13, 2024 ▶ 53:42 Chandra Narayanan: Top 5 Lessons from Leading Analytics at Facebook | E1126 · 20VC with Harry Stebbings
Caldwell notes technical founders notice failure first by reading the analytics.
“Well, and you're the technical person, so you notice the first. The funniest thing is this one of the technical person who does all the work is the one actually reading the analytics and like, hey, like, this, our launch bombed. What's the plan in the business…”
Dalton Caldwell Nov 1, 2023 ▶ 9:12 How To NOT Get Screwed As A Software Engineer · Y Combinator
20VC Insight
Schultz: Analytics Is Fundamentally an Influence Role
“Analytics is mostly an influence role. You need to analyze stuff and people need to believe you and then take action on what you say.”
Alex Schultz Mar 7, 2023 ▶ 20:06 Meta CMO Alex Schultz: Competing Against TikTok & Snap; Why Reels Failed at First | E985 · 20VC with Harry Stebbings
Combining marketing, product, and analytics under one leader maximizes growth
“In SurveyMonkey, I was running growth marketing, growth product, and analytics, which is a perfect trio in order to be the most impactful in growth.”
Elena Verna Sep 22, 2022 ▶ 8:36 Why product-led growth is the future | Elena Verna (Amplitude, Miro, Surveymonkey)
Widjaja: Tracking metrics without altering action is entertainment, not real news
“Do not treat metric gathering as entertainment. Like it's not there for you to be like, oh, that's interesting. How novel and then not act on it. So real news is information that changes what you do in the real world. And if you don't change what you're doing,…”
Crystal Widjaja Jul 31, 2022 ▶ 41:17 How to scrappily hire for, measure, and unlock growth | Crystal Widjaja, Gojek and Kumu
SAASTR Disclosure
Airtable builds customer education by combining qualitative research and product analytics
“First, using the research team, we had large qualitative surveys to understand how do people like to consume this data? Where do people like to consume this data? Then using some of our own analytics, we understand where are people getting stuck in the process…”
Archana Agrawal May 28, 2022 ▶ 15:38 The Secrets to Building Your Marketing Engine To Drive Scale with Airtable CMO Archana Agrawal
Extreme analytical efficiency makes modern baseball an aesthetically stagnant product
“The most perfect, efficient base version of baseball means nothing happens, essentially. As you say, it's a lot of strikeouts. Hitters sell out to hit home runs. Fielders shift so that when hitters don't hit home runs, they'll be in perfect position to catch t…”
Ben Reiter Nov 30, 2020 ▶ 35:16 Ben Reiter – Over the Edge with the Houston Astros (Capital Allocators, EP.166)
MAD Insight
Traditional BI dashboards drive low adoption by interrupting user workflows
“What we see our customers asking for and where we see the market going is People want the analytics to come to them. They don't want to stop what they're doing and go look at a dashboard and come back to what they're doing. That's why we're seeing a low adopti…”
Ashley Kramer Nov 1, 2020 ▶ 16:35 Fireside Chat: Ashley Kramer (CMO & CPO, Sisense) with Matt Turck (Partner, FirstMark)
Top-performing portfolio managers actively welcome granular performance analytics
“I will just tell you as a fact, great performers do not care if you're looking at what they're doing, meaning if they're really good at what they're doing, they want the analytics. They want to get better. They're obsessed with being good and having as much da…”
Jordi Visser Mar 25, 2019 ▶ 1:01:21 Jordi Visser – Next Generation of Manager Allocation (Capital Allocators, EP.92)
a16z Insight
Over-relying on basketball analytics ignores player character, IQ, and team chemistry
“When you see front offices like that, they tend to just throw numbers on the court. You know, they forget about characteristics. They forget about, you know, basketball IQ with players. And they forget about, you know, just because it works for one guy doesn't…”
Andre Iguodala Jan 2, 2019 ▶ 14:08 a16z Podcast | Andre Iguodala Knows Tech -- And Why the Warriors Won't Be Stopped
a16z Opinion
Agriculture is completely underserved by modern technology and analytics
“If you think about the ag industry today, it is completely underserved by technology, let alone analytics.”
Chandra Krintz Jul 15, 2017 ▶ 1:54 Chandra Krintz
MAD Insight
MemSQL's Eric Frenkiel argues analytics cannot be performed in key-value stores
“I mean I think, I mean, it's, you can't do analytics in key value.”
Eric (MemSQL) Dec 5, 2013 ▶ 13:29 Panel discussion // Data Driven NYC #13 // Dec 2012
MAD Insight
Sheynkman: Analytics software must be transparent glass boxes, not black boxes
“We don't want our analytics to be black boxes. We want them to be boxes with a glass top that I can look and see how things happen, open it up, reach in and figure out what went on there.”
Kirill Sheynkman Dec 5, 2013 ▶ 12:02 Kirill Sheynkman, RTP Ventures // Data Driven #3 // Feb 2012 (Interviewed by Matt Turck)

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