This episode carries Jad Naus's own address, with nobody on the show putting
questions to them. It still counts as said, and it is kept out of every score on their page.
Jad Naous, partner at Andreessen Horowitz, highlights how top technology platforms gained operational advantages by engineering custom internal data tools.
“So Facebook has Scuba. Google has Dremel, Rasta, and a whole bunch of others. Airbnb built Superset. Uber built Aries DB.”
quote is from the automated transcript, cleaned for reading:
filler sounds and stutters are removed, nothing is rephrased. names can be misheard
(the analysis reads context, assessments check outside sources). how →
More from Jad Naus
Insight
Naus: Software startups selling into traditional industries should not avoid offering services
“Don't shy away from the services, especially in these industries.”
Naous: Legacy BI and Hadoop are only practical for executive decisions
“Well, you can say maybe we should use Hadoop or BI. Unfortunately, these are kind of older generation tools. They require specialized skills and abilities to be able to use them. And so they need armies of analysts to use. These are really only affordable for …”
Jad NausMay 16, 2019▶ 5:55Everyone is an Analyst: Opportunities in Operational Analytics
PredictionNot checkable as stated
Naous: Workplace automation shifts enterprise labor from rote tasks to decision-making
“With automation, this structure changes. So you move from rote work being a big chunk to being a small chunk, but you're still working eight hours a day. So you are doing a lot more of the other stuff, meaning the decision making and everything else.”
Jad NausMay 16, 2019▶ 2:39Everyone is an Analyst: Opportunities in Operational Analytics
AssertionNot checkable as stated
Naous: Operational analytics is expanding across all industries and non-executive roles
“And this trend is actually happening everywhere. We see it happen by role, by sales, customer success, engineering. We see it also happen by industry, construction, manufacturing, groceries, et cetera. It's impacting the work of the operational folks, not just…”
Jad NausMay 16, 2019▶ 5:12Everyone is an Analyst: Opportunities in Operational Analytics
PredictionNot checkable as stated
Naous: Enterprise workers are becoming data-driven operational analysts
“Now everyone is becoming an analyst because they're going to be doing a ton more decision-making and using data to actually do those decisions.”
Jad NausMay 16, 2019▶ 5:39Everyone is an Analyst: Opportunities in Operational Analytics
Insight
Naous: Operational workers require a new class of self-service analytics tools
“And so what this really tells us is that there's a new category of tools that's needed. It's a tool for operational workers to observe and act on their own data. These are operational analytics tools.”
Jad NausMay 16, 2019▶ 7:34Everyone is an Analyst: Opportunities in Operational Analytics
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