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.”
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.”
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.”
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.”
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…”
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…”
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…”
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.”
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.”
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,…”
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…”
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…”
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…”
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…”
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…”
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.”
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.”
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.”