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Mar 3, 2014 · 25m · mad

Amit Bendov, SiSense // Data Driven NYC 24 // February 2014 (Hosted by FirstMark Capital)

Amit Bendov · 18m spoken Matt Turck · 2m spoken Tony Baer · 29s spoken Margaret Oest · 22s 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 Data Driven NYC event, Sisense CEO Amit Bendov presents the company's high-performance In-Chip analytics platform and details a real-time data pacing framework designed to ensure consistent organizational execution.

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 9.4% of the talking time here. How this is scored →

Matt as informed peer 0.7 Guest teaching 2.0 Guest disagreement 1.3 Matt pushing back 0.7
05100:0010:0020:004:10–10:47 · Matt as informed peer 0/10 Sisense Product Capabilities and Company Growth Facts Because this segment consists entirely of Amit's solo presentation, host activity scores are 0. Amit cheerfully presents Sisense's technical architecture and growth metrics to the audience without host interaction.10:47–21:35 · Matt as informed peer 0/10 In-Chip vs. In-Memory Comparison and Cost Advantage This segment is a monologue covering internal business management tips and pacing sales targets using analytics. Host expertise and pushback remain 0 as Matt Turck is not participating in the presentation.21:35–25:55 · Matt as informed peer 2/10 Audience Question and Answer Session Matt Turck briefly moderates audience Q&A while audience members push Amit on specific business use cases. Amit directly addresses skeptical questions about in-chip utility by citing major customer implementations like Target and eBay.4:10–10:47 · Guest teaching 2/10 Sisense Product Capabilities and Company Growth Facts Because this segment consists entirely of Amit's solo presentation, host activity scores are 0. Amit cheerfully presents Sisense's technical architecture and growth metrics to the audience without host interaction.10:47–21:35 · Guest teaching 1/10 In-Chip vs. In-Memory Comparison and Cost Advantage This segment is a monologue covering internal business management tips and pacing sales targets using analytics. Host expertise and pushback remain 0 as Matt Turck is not participating in the presentation.21:35–25:55 · Guest teaching 3/10 Audience Question and Answer Session Matt Turck briefly moderates audience Q&A while audience members push Amit on specific business use cases. Amit directly addresses skeptical questions about in-chip utility by citing major customer implementations like Target and eBay.4:10–10:47 · Guest disagreement 1/10 Sisense Product Capabilities and Company Growth Facts Because this segment consists entirely of Amit's solo presentation, host activity scores are 0. Amit cheerfully presents Sisense's technical architecture and growth metrics to the audience without host interaction.10:47–21:35 · Guest disagreement 0/10 In-Chip vs. In-Memory Comparison and Cost Advantage This segment is a monologue covering internal business management tips and pacing sales targets using analytics. Host expertise and pushback remain 0 as Matt Turck is not participating in the presentation.21:35–25:55 · Guest disagreement 3/10 Audience Question and Answer Session Matt Turck briefly moderates audience Q&A while audience members push Amit on specific business use cases. Amit directly addresses skeptical questions about in-chip utility by citing major customer implementations like Target and eBay.4:10–10:47 · Matt pushing back 0/10 Sisense Product Capabilities and Company Growth Facts Because this segment consists entirely of Amit's solo presentation, host activity scores are 0. Amit cheerfully presents Sisense's technical architecture and growth metrics to the audience without host interaction.10:47–21:35 · Matt pushing back 0/10 In-Chip vs. In-Memory Comparison and Cost Advantage This segment is a monologue covering internal business management tips and pacing sales targets using analytics. Host expertise and pushback remain 0 as Matt Turck is not participating in the presentation.21:35–25:55 · Matt pushing back 2/10 Audience Question and Answer Session Matt Turck briefly moderates audience Q&A while audience members push Amit on specific business use cases. Amit directly addresses skeptical questions about in-chip utility by citing major customer implementations like Target and eBay.

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

0:00 · Matt 72.5% · guest 27.5%0:00 · Matt 72.5% · guest 27.5%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 0% · guest 100%15:00 · Matt 0% · guest 100%18:00 · Matt 0% · guest 100%18:00 · Matt 0% · guest 100%21:00 · Matt 5.1% · guest 94.9%21:00 · Matt 5.1% · guest 94.9%24:00 · Matt 10.4% · guest 89.6%24:00 · Matt 10.4% · guest 89.6%
Sharpest disagreement ▶ 22:17 Challenging question on business case

Amit defends his value proposition directly against audience member Tony Baer's skepticism, asking if he answered the question or missed something.

 Hardest push from Matt ▶ 25:26 Host enforces strict time limit

Matt Turck steps in to interrupt and strictly limit the final questioner to one minute to keep the event on schedule.

 Biggest teaching moment ▶ 23:16 Listing enterprise use cases

Amit educates the room by detailing specific real-world deployments at Target, eBay, and Merck to prove the necessity of in-chip data processing.

 Matt holds his own ▶ 1:00 Host framing the technical stack context

Matt Turck opens the event by knowledgeable mapping big data categories across applications versus infrastructure technology stacks.
the scores for every segment, with the reasoning behind each
ChapterTopicMatt as informed peerGuest teachingGuest disagreementMatt pushing backWhy
Sisense Product Capabilities and Company Growth Facts 0210 Because this segment consists entirely of Amit's solo presentation, host activity scores are 0. Amit cheerfully presents Sisense's technical architecture and growth metrics to the audience without host interaction.
In-Chip vs. In-Memory Comparison and Cost Advantage 0100 This segment is a monologue covering internal business management tips and pacing sales targets using analytics. Host expertise and pushback remain 0 as Matt Turck is not participating in the presentation.
Audience Question and Answer Session 2332 Matt Turck briefly moderates audience Q&A while audience members push Amit on specific business use cases. Amit directly addresses skeptical questions about in-chip utility by citing major customer implementations like Target and eBay.

Statements from this episode (9)

Assertion Not checkable as stated
Bloomberg was the first big data company before the term existed
“Bloomberg, ah, as you guys know, is, ah, pretty much the first big data company that ever existed long, long before the term big data was coined.”
Matt Turck Mar 3, 2014 ▶ 0:40
Assertion Not checkable as stated
Sisense's customer base tripled in 2013
“The customer base tripled in 2013.”
Amit Bendov Mar 3, 2014 ▶ 5:03
Assertion Partly supported
Sisense demonstrated analyzing 1TB of data on a $750 laptop
“When we launched in Strata in New York last year, we demonstrated a terabyte of data analyzed on a 750 dollar laptop with eight gigs of RAM.”
Amit Bendov Mar 3, 2014 ▶ 7:37
Assertion Not checkable as stated
Sisense handles 3,000 concurrent users on a single server
“Most in-memory product requires additional five to 10% for additional concurrent user because they keep copies of the data, ok? Slices doesn't do none of that. It stays pretty flat. You could do 3000 users on a single server without adding additional memory, o…”
Amit Bendov Mar 3, 2014 ▶ 9:02
Assertion Not checkable as stated
Sisense's system gets faster as more people use it concurrently
“So the outcome is actually that the more you use the system, the faster it gets. So this is a system that gets faster with more users, not slower.”
Amit Bendov Mar 3, 2014 ▶ 10:27
Opinion
In-memory analytics technology is already a thing of the past
“In-memory is not the future, it's already the past.”
Amit Bendov Mar 3, 2014 ▶ 10:49
Assertion Supported
Sisense analyzed 10 terabytes in 10 seconds on a sub-$10k server
“We demonstrated Strata in Santa Clara last year, 10 terabytes, ok, analyzing 10 seconds on a sub-ten-thousand dollar standard Dell server.”
Amit Bendov Mar 3, 2014 ▶ 12:12
Assertion Not publicly verifiable
Target uses Sisense across 1,800 stores to identify shrinkage
“Target is using it to analyze data from 1800 stores to identify what they call Shrinkage or shoplifting, ok?”
Amit Bendov Mar 3, 2014 ▶ 23:22
Assertion Not checkable as stated
eBay analyzes 1.5 billion records in 3 seconds using Sisense
“EBay is using it to analyze what people are buying and selling online. Trends in pricing, new versus old, Samsung versus iPhone, ok? Billion and a half record set, complex dashboards open in three seconds.”
Amit Bendov Mar 3, 2014 ▶ 23:44
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