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Jan 25, 2016 · 22m · mad

The Benefits of Fast Business Intelligence // Amir Orad, Sisense (Hosted by FirstMark Capital)

Amir Orad · 17m spoken Matt Turck · 36s spoken
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Amir Orad, CEO of Sisense, presents at DataDrivenNYC on how Sisense's proprietary In-Chip processing architecture disrupts traditional business intelligence by eliminating data preparation friction and enabling ultra-fast analytics on standard hardware.

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 2.8% of the talking time here. How this is scored →

Matt as informed peer 1.0 Guest teaching 2.6 Guest disagreement 1.0 Matt pushing back 0.8
05100:0010:0020:000:09–4:21 · Matt as informed peer 0/10 Presentation Opening and Topic Overview Amir opens his presentation detailing his track record with Syota and Actimize while outlining the rules set by Matt. Host-side scores are zero as the host does not participate during this monologue.4:21–8:36 · Matt as informed peer 0/10 In-Chip Analytics Tech Architecture and the Beer Analogy Amir explains the technical evolution from disk to in-memory to in-chip analytics, using a beer fetching analogy. The host remains silent throughout the technical explanation.8:36–14:13 · Matt as informed peer 0/10 Rethinking Data Analytics: Breaking the BI Assembly Line Amir redefines the BI challenge as eliminating the data prep assembly line rather than focusing purely on raw processing speed. He engages directly with audience members while the host remains uninvolved.14:13–17:10 · Matt as informed peer 0/10 Business Scale, R Integration, and Core Startup Lessons Amir summarizes Sisense's business scale and shares four core lessons for entrepreneurs on eliminating friction. The host only speaks at the very end to thank the speaker.17:10–22:59 · Matt as informed peer 5/10 Fireside Q&A with Matt Turck and Audience Matt kicks off Q&A by asking how Sisense differentiates itself amid a noisy ecosystem of Hadoop and Spark buzzwords. Amir responds by detailing their GTM positioning between lightweight Excel/Tableau and million-dollar Hadoop infrastructure.0:09–4:21 · Guest teaching 1/10 Presentation Opening and Topic Overview Amir opens his presentation detailing his track record with Syota and Actimize while outlining the rules set by Matt. Host-side scores are zero as the host does not participate during this monologue.4:21–8:36 · Guest teaching 2/10 In-Chip Analytics Tech Architecture and the Beer Analogy Amir explains the technical evolution from disk to in-memory to in-chip analytics, using a beer fetching analogy. The host remains silent throughout the technical explanation.8:36–14:13 · Guest teaching 3/10 Rethinking Data Analytics: Breaking the BI Assembly Line Amir redefines the BI challenge as eliminating the data prep assembly line rather than focusing purely on raw processing speed. He engages directly with audience members while the host remains uninvolved.14:13–17:10 · Guest teaching 2/10 Business Scale, R Integration, and Core Startup Lessons Amir summarizes Sisense's business scale and shares four core lessons for entrepreneurs on eliminating friction. The host only speaks at the very end to thank the speaker.17:10–22:59 · Guest teaching 5/10 Fireside Q&A with Matt Turck and Audience Matt kicks off Q&A by asking how Sisense differentiates itself amid a noisy ecosystem of Hadoop and Spark buzzwords. Amir responds by detailing their GTM positioning between lightweight Excel/Tableau and million-dollar Hadoop infrastructure.0:09–4:21 · Guest disagreement 1/10 Presentation Opening and Topic Overview Amir opens his presentation detailing his track record with Syota and Actimize while outlining the rules set by Matt. Host-side scores are zero as the host does not participate during this monologue.4:21–8:36 · Guest disagreement 1/10 In-Chip Analytics Tech Architecture and the Beer Analogy Amir explains the technical evolution from disk to in-memory to in-chip analytics, using a beer fetching analogy. The host remains silent throughout the technical explanation.8:36–14:13 · Guest disagreement 1/10 Rethinking Data Analytics: Breaking the BI Assembly Line Amir redefines the BI challenge as eliminating the data prep assembly line rather than focusing purely on raw processing speed. He engages directly with audience members while the host remains uninvolved.14:13–17:10 · Guest disagreement 0/10 Business Scale, R Integration, and Core Startup Lessons Amir summarizes Sisense's business scale and shares four core lessons for entrepreneurs on eliminating friction. The host only speaks at the very end to thank the speaker.17:10–22:59 · Guest disagreement 2/10 Fireside Q&A with Matt Turck and Audience Matt kicks off Q&A by asking how Sisense differentiates itself amid a noisy ecosystem of Hadoop and Spark buzzwords. Amir responds by detailing their GTM positioning between lightweight Excel/Tableau and million-dollar Hadoop infrastructure.0:09–4:21 · Matt pushing back 0/10 Presentation Opening and Topic Overview Amir opens his presentation detailing his track record with Syota and Actimize while outlining the rules set by Matt. Host-side scores are zero as the host does not participate during this monologue.4:21–8:36 · Matt pushing back 0/10 In-Chip Analytics Tech Architecture and the Beer Analogy Amir explains the technical evolution from disk to in-memory to in-chip analytics, using a beer fetching analogy. The host remains silent throughout the technical explanation.8:36–14:13 · Matt pushing back 0/10 Rethinking Data Analytics: Breaking the BI Assembly Line Amir redefines the BI challenge as eliminating the data prep assembly line rather than focusing purely on raw processing speed. He engages directly with audience members while the host remains uninvolved.14:13–17:10 · Matt pushing back 0/10 Business Scale, R Integration, and Core Startup Lessons Amir summarizes Sisense's business scale and shares four core lessons for entrepreneurs on eliminating friction. The host only speaks at the very end to thank the speaker.17:10–22:59 · Matt pushing back 4/10 Fireside Q&A with Matt Turck and Audience Matt kicks off Q&A by asking how Sisense differentiates itself amid a noisy ecosystem of Hadoop and Spark buzzwords. Amir responds by detailing their GTM positioning between lightweight Excel/Tableau and million-dollar Hadoop infrastructure.

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 17.5% · guest 82.5%15:00 · Matt 17.5% · guest 82.5%18:00 · Matt 1.7% · guest 98.3%18:00 · Matt 1.7% · guest 98.3%21:00 · Matt 4.5% · guest 95.5%21:00 · Matt 4.5% · guest 95.5%
Sharpest disagreement ▶ 22:04 Addressing Hardware Obsolescence Threat

Amir reframes an audience member's challenge regarding Intel's upcoming 3D XPoint memory processors, arguing that faster underlying hardware actually boosts Sisense's algorithm value rather than threatening it.

 Hardest push from Matt ▶ 17:12 Challenging Buzzword Differentiation

Matt presses Amir to explain how Sisense genuinely cuts through marketing clutter when buyers are constantly bombarded with terms like Hadoop, Spark, and in-memory databases.

 Biggest teaching moment ▶ 17:42 The Middle Market Gap in BI

Amir educates the room on the market white space existing between lightweight visualization tools like Tableau and complex, costly Hadoop data warehouse deployments.

 Matt holds his own ▶ 17:12 Navigating the Big Data Buzzword Ecosystem

Matt displays his industry knowledge by citing specific technology paradigms like Spark, Hadoop, and in-memory databases when challenging the guest's market positioning.
the scores for every segment, with the reasoning behind each
ChapterTopicMatt as informed peerGuest teachingGuest disagreementMatt pushing backWhy
Presentation Opening and Topic Overview 0110 Amir opens his presentation detailing his track record with Syota and Actimize while outlining the rules set by Matt. Host-side scores are zero as the host does not participate during this monologue.
In-Chip Analytics Tech Architecture and the Beer Analogy 0210 Amir explains the technical evolution from disk to in-memory to in-chip analytics, using a beer fetching analogy. The host remains silent throughout the technical explanation.
Rethinking Data Analytics: Breaking the BI Assembly Line 0310 Amir redefines the BI challenge as eliminating the data prep assembly line rather than focusing purely on raw processing speed. He engages directly with audience members while the host remains uninvolved.
Business Scale, R Integration, and Core Startup Lessons 0200 Amir summarizes Sisense's business scale and shares four core lessons for entrepreneurs on eliminating friction. The host only speaks at the very end to thank the speaker.
Fireside Q&A with Matt Turck and Audience 5524 Matt kicks off Q&A by asking how Sisense differentiates itself amid a noisy ecosystem of Hadoop and Spark buzzwords. Amir responds by detailing their GTM positioning between lightweight Excel/Tableau and million-dollar Hadoop infrastructure.

Statements from this episode (9)

Assertion Supported
Amir Orad: Cyota invented risk-based authentication before acquisition by RSA
“So, the first one was Syota, which was, became part of RSA, invented what is known as risk-based authentication.”
Amir Orad Jan 25, 2016 ▶ 0:59
Assertion Not checkable as stated
Orad: VCs rejected Sisense, leading a founder's father to invest $2M
“And they went to the VC community, and everyone told them they're stupid and refused to invest, so the guy's dad gave him a lot of money. Two million dollars, so you need to have the right parents, I guess.”
Amir Orad Jan 25, 2016 ▶ 3:44
Assertion Supported
Orad: CPU registers are the fastest hardware unit for analytics
“The fastest performing unit for analytics on the planet is the register inside the CPU.”
Amir Orad Jan 25, 2016 ▶ 4:55
Assertion Partly supported
Orad: Sisense processed 10TB of data in 10s on a $1k server
“Taking 10 terabytes, 10 terabytes, and in 10 seconds, running all the algorithm analysis on a standard Dell server that cost, you know, a thousand dollars.”
Amir Orad Jan 25, 2016 ▶ 8:01
Assertion Supported
Orad: $30 billion per year is spent on business intelligence
“BI is a huge space, thirty billion dollars a year spent on BI from infrastructure all the way to applications.”
Amir Orad Jan 25, 2016 ▶ 9:14
Insight
Orad: Complex data forces teams to spend more time prepping than analyzing
“The truth is that the more complex your data, the more time you spend getting everything ready than the actual analysis.”
Amir Orad Jan 25, 2016 ▶ 9:53
Assertion Partly supported
Orad: Sisense has over 1,000 customers including NASA, eBay, and Target
“A thousand customers from NASA to Lockheed Martin, to Sandisk, to Motorola, to eBay, to Target, you name it, really nice names.”
Amir Orad Jan 25, 2016 ▶ 14:21
Insight
Orad: Tech products should eliminate process steps rather than automate them
“Don't automate things, try and make them go away. Ok, this is the whole assembly line concept. You can save endless resources by taking this different attitude versus we'll do it faster.”
Amir Orad Jan 25, 2016 ▶ 16:36
Insight
Orad: Startups in competitive markets must be fundamentally different, not just better
“Don't be better than someone. Be totally different. It's the only way to stand out and provide value.”
Amir Orad Jan 25, 2016 ▶ 16:52
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