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Apr 13, 2016 · 22m · mad

The Journey to Information for Everyone // Prakash Nanduri, Paxata (Hosted by FirstMark)

Prakash Nanduri · 18m spoken Matt Turck · 45s spoken
0:00 / 0:00
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

At a DataDrivenNYC event hosted by FirstMark, Paxata CEO Prakash Nanduri discusses how enterprise software can bridge the gap between consumer data convenience and corporate data friction through automated, AI-driven data preparation platforms.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Matt holds 4.8% of the talking time here. How this is scored →

Matt as informed peer 0.3 Guest teaching 0.4 Guest disagreement 0.1 Matt pushing back 0.0
05100:0010:0020:000:09–2:09 · Matt as informed peer 0/10 Consumer Curiosity and the Speed of Answers Prakash gives an opening presentation narrative comparing his son's quick Siri query about galaxies to traditional encyclopedia searches. The host is not present during this monologue segment.2:09–4:36 · Matt as informed peer 0/10 Defining Data vs. Information in the Enterprise Prakash defines the difference between raw data and actionable information using the example of Jamie Dimon asking simple enterprise questions. The host does not participate as this is part of the keynote monologue.4:36–6:46 · Matt as informed peer 0/10 Enterprise Demographics and the Burden on Knowledge Workers Prakash highlights how knowledge workers and highly-paid data scientists waste 80 percent of their time acting as data janitors and calls traditional ETL joins a mortal sin. The host is absent during this monologue segment.6:46–9:21 · Matt as informed peer 0/10 The Three-Phase Journey to Information for Everyone Prakash outlines the three-phase journey to information democratization from self-serve clicks-not-code to guided data prep recommendations. The host is not present in this presentation segment.9:21–11:51 · Matt as informed peer 0/10 Paxata's Five Core Guiding Principles Prakash walks through Paxata's five core principles, emphasizing balancing business freedom with IT governance. The host is not present during this section of the talk.11:51–14:27 · Matt as informed peer 0/10 Architecture from Data Sources to AnswerSets Prakash details enabling technical architecture including distributed in-memory computing like Spark and elastic cloud scale-out. This segment contains no host participation.14:27–22:35 · Matt as informed peer 2/10 The Five Pillars of the Paxata Platform Matt Turck enters to compliment Prakash and moderate a Q&A session covering company origin, cloud transition arcs, and audience questions on data silos and quality. The exchange is purely collaborative and supportive.0:09–2:09 · Guest teaching 0/10 Consumer Curiosity and the Speed of Answers Prakash gives an opening presentation narrative comparing his son's quick Siri query about galaxies to traditional encyclopedia searches. The host is not present during this monologue segment.2:09–4:36 · Guest teaching 1/10 Defining Data vs. Information in the Enterprise Prakash defines the difference between raw data and actionable information using the example of Jamie Dimon asking simple enterprise questions. The host does not participate as this is part of the keynote monologue.4:36–6:46 · Guest teaching 1/10 Enterprise Demographics and the Burden on Knowledge Workers Prakash highlights how knowledge workers and highly-paid data scientists waste 80 percent of their time acting as data janitors and calls traditional ETL joins a mortal sin. The host is absent during this monologue segment.6:46–9:21 · Guest teaching 0/10 The Three-Phase Journey to Information for Everyone Prakash outlines the three-phase journey to information democratization from self-serve clicks-not-code to guided data prep recommendations. The host is not present in this presentation segment.9:21–11:51 · Guest teaching 0/10 Paxata's Five Core Guiding Principles Prakash walks through Paxata's five core principles, emphasizing balancing business freedom with IT governance. The host is not present during this section of the talk.11:51–14:27 · Guest teaching 0/10 Architecture from Data Sources to AnswerSets Prakash details enabling technical architecture including distributed in-memory computing like Spark and elastic cloud scale-out. This segment contains no host participation.14:27–22:35 · Guest teaching 1/10 The Five Pillars of the Paxata Platform Matt Turck enters to compliment Prakash and moderate a Q&A session covering company origin, cloud transition arcs, and audience questions on data silos and quality. The exchange is purely collaborative and supportive.0:09–2:09 · Guest disagreement 0/10 Consumer Curiosity and the Speed of Answers Prakash gives an opening presentation narrative comparing his son's quick Siri query about galaxies to traditional encyclopedia searches. The host is not present during this monologue segment.2:09–4:36 · Guest disagreement 0/10 Defining Data vs. Information in the Enterprise Prakash defines the difference between raw data and actionable information using the example of Jamie Dimon asking simple enterprise questions. The host does not participate as this is part of the keynote monologue.4:36–6:46 · Guest disagreement 1/10 Enterprise Demographics and the Burden on Knowledge Workers Prakash highlights how knowledge workers and highly-paid data scientists waste 80 percent of their time acting as data janitors and calls traditional ETL joins a mortal sin. The host is absent during this monologue segment.6:46–9:21 · Guest disagreement 0/10 The Three-Phase Journey to Information for Everyone Prakash outlines the three-phase journey to information democratization from self-serve clicks-not-code to guided data prep recommendations. The host is not present in this presentation segment.9:21–11:51 · Guest disagreement 0/10 Paxata's Five Core Guiding Principles Prakash walks through Paxata's five core principles, emphasizing balancing business freedom with IT governance. The host is not present during this section of the talk.11:51–14:27 · Guest disagreement 0/10 Architecture from Data Sources to AnswerSets Prakash details enabling technical architecture including distributed in-memory computing like Spark and elastic cloud scale-out. This segment contains no host participation.14:27–22:35 · Guest disagreement 0/10 The Five Pillars of the Paxata Platform Matt Turck enters to compliment Prakash and moderate a Q&A session covering company origin, cloud transition arcs, and audience questions on data silos and quality. The exchange is purely collaborative and supportive.0:09–2:09 · Matt pushing back 0/10 Consumer Curiosity and the Speed of Answers Prakash gives an opening presentation narrative comparing his son's quick Siri query about galaxies to traditional encyclopedia searches. The host is not present during this monologue segment.2:09–4:36 · Matt pushing back 0/10 Defining Data vs. Information in the Enterprise Prakash defines the difference between raw data and actionable information using the example of Jamie Dimon asking simple enterprise questions. The host does not participate as this is part of the keynote monologue.4:36–6:46 · Matt pushing back 0/10 Enterprise Demographics and the Burden on Knowledge Workers Prakash highlights how knowledge workers and highly-paid data scientists waste 80 percent of their time acting as data janitors and calls traditional ETL joins a mortal sin. The host is absent during this monologue segment.6:46–9:21 · Matt pushing back 0/10 The Three-Phase Journey to Information for Everyone Prakash outlines the three-phase journey to information democratization from self-serve clicks-not-code to guided data prep recommendations. The host is not present in this presentation segment.9:21–11:51 · Matt pushing back 0/10 Paxata's Five Core Guiding Principles Prakash walks through Paxata's five core principles, emphasizing balancing business freedom with IT governance. The host is not present during this section of the talk.11:51–14:27 · Matt pushing back 0/10 Architecture from Data Sources to AnswerSets Prakash details enabling technical architecture including distributed in-memory computing like Spark and elastic cloud scale-out. This segment contains no host participation.14:27–22:35 · Matt pushing back 0/10 The Five Pillars of the Paxata Platform Matt Turck enters to compliment Prakash and moderate a Q&A session covering company origin, cloud transition arcs, and audience questions on data silos and quality. The exchange is purely collaborative and supportive.

speaking balance: gold is Matt, purple is the guest (3 minute bins)

0:00 · Matt 0% · guest 100%0:00 · Matt 0% · guest 100%3:00 · Matt 0% · guest 100%3:00 · Matt 0% · guest 100%6:00 · Matt 0% · guest 100%6:00 · Matt 0% · guest 100%9:00 · Matt 0% · guest 100%9:00 · Matt 0% · guest 100%12:00 · Matt 0% · guest 100%12:00 · Matt 0% · guest 100%15:00 · Matt 11.3% · guest 88.7%15:00 · Matt 11.3% · guest 88.7%18:00 · Matt 24.7% · guest 75.3%18:00 · Matt 24.7% · guest 75.3%21:00 · Matt 2.3% · guest 97.7%21:00 · Matt 2.3% · guest 97.7%
Sharpest disagreement ▶ 5:30 Strong rejection of legacy ETL and manual data munging tools

Prakash forcefully criticizes traditional enterprise data preparation methods, declaring that doing traditional ETL joins or Vlookups in this day and age is committing a mortal sin.

 Hardest push from Matt ▶ 17:18 Inquiring about real-world enterprise cloud versus on-prem transition

Matt Turck prompts Prakash to move beyond marketing claims by asking specifically where enterprise customers actually stand in the arc between on-premise and cloud deployments.

 Biggest teaching moment ▶ 19:10 Explaining multi-tenant architecture solution to enterprise data silos

Prakash educates the room on how Paxata's multi-tenant elastic cloud architecture resolves regulatory and silo constraints in heavily regulated sectors like financial services.

 Matt holds his own ▶ 17:18 Demonstrating market awareness regarding enterprise cloud adoption

Matt Turck shows domain familiarity by pinpointing the ongoing hybrid cloud debate and asking Prakash to analyze customer progress along that specific adoption curve.
the scores for every segment, with the reasoning behind each
ChapterTopicMatt as informed peerGuest teachingGuest disagreementMatt pushing backWhy
Consumer Curiosity and the Speed of Answers 0000 Prakash gives an opening presentation narrative comparing his son's quick Siri query about galaxies to traditional encyclopedia searches. The host is not present during this monologue segment.
Defining Data vs. Information in the Enterprise 0100 Prakash defines the difference between raw data and actionable information using the example of Jamie Dimon asking simple enterprise questions. The host does not participate as this is part of the keynote monologue.
Enterprise Demographics and the Burden on Knowledge Workers 0110 Prakash highlights how knowledge workers and highly-paid data scientists waste 80 percent of their time acting as data janitors and calls traditional ETL joins a mortal sin. The host is absent during this monologue segment.
The Three-Phase Journey to Information for Everyone 0000 Prakash outlines the three-phase journey to information democratization from self-serve clicks-not-code to guided data prep recommendations. The host is not present in this presentation segment.
Paxata's Five Core Guiding Principles 0000 Prakash walks through Paxata's five core principles, emphasizing balancing business freedom with IT governance. The host is not present during this section of the talk.
Architecture from Data Sources to AnswerSets 0000 Prakash details enabling technical architecture including distributed in-memory computing like Spark and elastic cloud scale-out. This segment contains no host participation.
The Five Pillars of the Paxata Platform 2100 Matt Turck enters to compliment Prakash and moderate a Q&A session covering company origin, cloud transition arcs, and audience questions on data silos and quality. The exchange is purely collaborative and supportive.

Statements from this episode (8)

Assertion Partly supported
Nanduri notes the web browser is roughly 8,000 days old
“The browser is about 8000 days old”
Prakash Nanduri Apr 13, 2016 ▶ 1:34
Assertion Not checkable as stated
Turning raw enterprise data into actionable information takes weeks or months
“It takes weeks and months, because we do this thing called taking data and preparing it, and munging it, that's the technical term, to get it to information before we can answer any of our simple questions.”
Prakash Nanduri Apr 13, 2016 ▶ 3:21
Assertion Not checkable as stated
Nanduri estimates 90 percent of enterprise data questions are simple
“And we all know that 90% of the questions we are asking in the enterprise are simple questions.”
Prakash Nanduri Apr 13, 2016 ▶ 3:40
Assertion Not checkable as stated
Nanduri notes there are currently one billion knowledge workers worldwide
“There are a billion knowledge workers in this world, and by the way, that is expanding.”
Prakash Nanduri Apr 13, 2016 ▶ 5:03
Prediction Open · timeframe Dec 2030
Nanduri predicts 2.5 billion people will be knowledge workers by 2030
“By 2030, there'll be five billion middle class human beings, of which at least half of them will be knowledge workers.”
Prakash Nanduri Apr 13, 2016 ▶ 5:08
Assertion Not checkable as stated
Data scientists are highly-paid janitors who spend 80 percent of time munging
“Most of the data scientists that are highly paid and highly educated are data janitors. Because 80% of the time, they are spending time munging data.”
Prakash Nanduri Apr 13, 2016 ▶ 5:54
Disclosure
Paxata has over 50 enterprise customers and 77 employees
“We have over 50 customers. Our team is about 77 people.”
Prakash Nanduri Apr 13, 2016 ▶ 16:45
Assertion Not checkable as stated
Nanduri claims every large enterprise plans to run hybrid cloud environments
“Every one of our large customers tell us that at the end of the day, they're going to live in hybrid environments. So they are going to have, the large enterprise customers are going to be having some workloads on, in the cloud, some workloads on-premise.”
Prakash Nanduri Apr 13, 2016 ▶ 17:29
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