Operational Analytics

topic on 1 show · 3 statements across 1 episodes

the a16z Podcast

3 statements about Operational Analytics, every show

a16z Prediction Not checkable as stated
Naous: All enterprise data stack layers must be redone for operational analytics
“Every single layer will need to refocus on being operational, immediate, and self-service. So ETL, storage, processing, analytics, access, and presentation, all those layers are going to need to be redone in order to get to operational analytics.”
Jad Naus May 16, 2019 ▶ 10:36 Everyone is an Analyst: Opportunities in Operational Analytics
a16z Insight
Naous: Startups disrupt traditional sectors using digital UX and operational analytics
“First, choose a tech phobic industry. Second, provide a digital user experience. Finally, use operational analytics to create efficiencies. You undercut the existing players with lower pricing, and then you build an operational mode to make sure that you're co…”
Jad Naus May 16, 2019 ▶ 8:44 Everyone is an Analyst: Opportunities in Operational Analytics
a16z Assertion Not 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 Naus May 16, 2019 ▶ 5:12 Everyone is an Analyst: Opportunities in Operational Analytics

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