Data Analytics
topic on 6 shows · 9 statements across 9 episodes
American Optimist 
WTF is with Nikhil Kamath 
Capital Allocators 
the MAD Podcast 
How I Built This 
the a16z Podcast
9 statements about Data Analytics, every show
KL Rahul: Data Analytics Cannot Guarantee Success in Sports
“Certain, you can use certain things, but nothing at least in sport guarantees better performance or success. It's not that you do this and your success rate is going to go up. There is no formula like that.”
Stavros: PE deal speed prevents precise pre-acquisition operational data analysis
“You have to move so quickly to win in this world. So you have clues. But you don't have the access to data and the time if you're going to be effective in winning these assets to be like, well, I got to get to the one decimal place.”
Bettersworth: Higher ed data analytics is mostly compliance reporting, not optimization
“Most of the data analytics done in higher education is in a compliance fashion for reporting. We put the data analytics group in the CFO's shop. And it's about performance optimization.”
Heavin: Data analytics cannot successfully drive educational content programming
“You can't do all this based on data analytics to understand what you need to do for programming of content for learning. But I kind of always had this belief you had to be a little bit of a bookie and a fortune teller. And the data analytics is very important,…”
Manually moving data across storage environments takes weeks and degrades value
“Today, if people want to really see the global data, they move the data manually from one storage to another storage to put them together to analyze it. Even though the data could be in memory in a final storage, But because of this manual process or this proc…”
The competitive advantage of pure data analysis in baseball is narrowing
“I think the data advantage is narrowing.
I do.
I mean, you don't hear very much anymore about, oh, this team's onto some new kind of way of analyzing data or discovered some new sorts of data.
Of course, I'm not going to tell you if they are, but it doesn't…”
Enterprise data analytics investments create as much noise as signal
“My contention to you in this audience is that the investment in data analytics that every single person in this room is making for the companies that you are making is building as much noise as signal.”
Oudghiri: Enterprise data problems stem from disparate contexts, not analysis limits
“Most of the problems exist not because we don't know how to analyze the data or we don't necessarily see the patterns of the data. It's just because these data sets are born in different contexts and have different purposes, right?”