Monthly episodes discussing this topic, 2019-01 to 2026-07.
The people on the most episodes about this topic over the trailing three months, excluding their own shows — ordered by VoiceRank, their score across the whole corpus. The chart tracks each one’s episodes month by month.
Not enough disagreement in the transcripts to form camps. These are the positions taken by people with demonstrated expertise on this topic first, then by how many people heard them on it, then by VoiceRank.
Reliable data analytics companies are marked by their ability to maintain paying customers through demonstrated credibility.
“I should let everybody watching and listening know that one of the markers for the trustworthiness of a data analytic company is that people will actually pay for their information.”
Jordan B Peterson · Mar 2023 · 1 episode · 2.2M views on this topicHigh-quality data, such as market-specific amenity trends and competitor performance, is essential for making informed investment decisions in the short-term rental sector.
“in order to make the right decisions as a host you need the right inputs and the right inputs is everything you talked about”
BiggerPockets · Jan 2023 · 1 episode · 59K views on this topicData has gravity, meaning analytics infrastructure should be located where the data itself resides rather than forcing all data into one location.
“the fact is data has gravity and you have to respect that if your data's on-premise you should probably put your Hadoop or other kinds of analytics on premise if your data is in the cloud you're using a website hosted in Amazon or a Deutsche Telekom or Swisscom in Switzerland then obviously ”
a16z · Jan 2019 · 1 episode · 69 views on this topicFounders must test hypotheses using their own data and small-scale experiments before engaging AI service providers to ensure the project is worth pursuing.
“You should first try and put yourself in their shoes and experiment with it. Come up with the prototype. So that at least you are very clear that that is the project that is even worth pursuing in the first place.”
Think School · Jul 2026 · 1 episode · 344K views on this topicData-driven insights are necessary to debunk the myth that Hollywood is already progressive regarding diversity and inclusion.
“and so I I just spoke at gold house which um really was uh responsible for a lot of the crazy rich Asian success like they've the age the aapi community mobilized and said this movie is not just for us but it's um about us and by us and we should pay attention and they really mobilized in a way that”
Variety · May 2023 · 1 episode · 5K views on this topicIn the long term, the growth of data lakes will displace the need for traditional data warehousing appliances.
“the rising tide of the data Lake we think will drown out the data warehouse in the fullness of time”
a16z · Jan 2019 · 1 episode · 69 views on this topicPositions are extracted from transcripts by a model and may misattribute who said what. Every quote links to the episode it came from.