Shant Hovsepian

CTO, Arcadia Data · 1 appearance on the record.

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Shant Hovsepian is the CTO at Arcadia Data. He focuses on building unified visual analytics and business intelligence platforms for big data.

13statements → 2claims → 0claims resolved → 3.85/5average certainty → 2.15/5average debate potential →

2 not checkable as stated how the 2 claims stand · each chip opens the sources

2 assertions · 2 opinions · 8 insights · 1 disclosure · every statement was checked. The predictions and assertions are the 2 claims: statements the public record can support or contradict. 0 are resolved, and 2 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how Shant argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

How they sound: speaking style how? →

267 words/min while actually speaking · 22.5 um and uh per 1k words

No argument clarity score for Shant Hovsepian: only 1 usable question→answer exchange on raw tape (a fair score needs 8+). We do not score a sample that small. Roundtable and news formats yield far fewer direct exchanges than interviews.

Measured by listening to the audio itself: 4,219 words across 1 episode of raw-level tape, transcribed verbatim with every um and uh kept, each one attributed only where the alignment onto our timed stream is unambiguous. These are measurements of speaking style. We do not rank them: across this corpus, fluency and argument quality are nearly uncorrelated (ρ≈0.2), and smooth talking does not signal clear thinking. How it's measured →

Everything Shant Hovsepian said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Opinion
Business intelligence pricing models that penalize increased user adoption are dangerous
“Pricing models that penalize you for increased adoption are kind of dangerous, right?”
Shant Hovsepian Dec 17, 2015 ▶ 9:28 10 Commandments for BI in Big Data, Shant Hovsepian, Arcadia Data (Data Driven NYC / FirstMark)
Insight
Big data analytics sharing should mirror GitHub's clone and fork model
“When I think of sharing, I think of the GitHub model, right, where it's not, here's your final published product, but here is, clone it, fork it, and this is how I derive at those insights, so other people can learn from those insights, and that's really impor…”
Shant Hovsepian Dec 17, 2015 ▶ 11:11 10 Commandments for BI in Big Data, Shant Hovsepian, Arcadia Data (Data Driven NYC / FirstMark)
Insight
Effective BI tools must analyze big data natively without ETL transformation
“You want to find the BI solution that won't tell you, hey, sorry, please transform your data into a pretty table. You want BI solutions that can really analyze the data in its native form because there is value for having data in that form.”
Shant Hovsepian Dec 17, 2015 ▶ 12:45 10 Commandments for BI in Big Data, Shant Hovsepian, Arcadia Data (Data Driven NYC / FirstMark)
Insight
Extracting and moving big data into separate data marts creates severe overhead
“It's also a huge maintenance problem. So, a lot of customers we talk to don't want to, you know, forget about the network performance or the CPU computation, right? It's just a management overhead of now there are two copies of something as logically the same.”
Shant Hovsepian Dec 17, 2015 ▶ 6:18 10 Commandments for BI in Big Data, Shant Hovsepian, Arcadia Data (Data Driven NYC / FirstMark)
Assertion Not checkable as stated
YARN and Mesos enable modern on-cluster business intelligence
“On cluster BI is something that's possible now. Thanks to things like Yarn, Mesos, we're seeing a whole new resurgence of operating systems.”
Shant Hovsepian Dec 17, 2015 ▶ 6:53 10 Commandments for BI in Big Data, Shant Hovsepian, Arcadia Data (Data Driven NYC / FirstMark)
Insight
Reimplementing security across storage, database, and BI layers causes data loss
“If you have to sort of re-implement your whole security model, you know, once in your storage layer, once your database layer, and once in your application BI layer, you're not going to do it, right? You're going to lose information.”
Shant Hovsepian Dec 17, 2015 ▶ 8:08 10 Commandments for BI in Big Data, Shant Hovsepian, Arcadia Data (Data Driven NYC / FirstMark)
Opinion
MongoDB security architecture enables enterprise application integration and data lineage
“Mongo has this amazing security architecture now that your applications can plug into, propagate that user information all the way up to the application layer, and enforce, you know, this visualization and the data lineage associated with it along the way.”
Shant Hovsepian Dec 17, 2015 ▶ 8:26 10 Commandments for BI in Big Data, Shant Hovsepian, Arcadia Data (Data Driven NYC / FirstMark)
Insight
Big data sampling must occur below blocking operations to ensure valid visualizations
“Certain types of analytics require blocking operation, right? At certain points in the analysis, I need to stop and count everything. So you need to be able to push that sampling down below that and not above it. Otherwise, the only things you'll be able to sa…”
Shant Hovsepian Dec 17, 2015 ▶ 13:59 10 Commandments for BI in Big Data, Shant Hovsepian, Arcadia Data (Data Driven NYC / FirstMark)
Insight
D3 succeeded by decoupling data from visualization and DOM element mapping
“So D three became awesome because not that it created this great visual interface in the JavaScript library, but it decoupled the relationship between the data and how it's visualized and how the actual elements in the DOM and how they map.”
Shant Hovsepian Dec 17, 2015 ▶ 15:51 10 Commandments for BI in Big Data, Shant Hovsepian, Arcadia Data (Data Driven NYC / FirstMark)
Insight
Analytics users prefer direct visual interaction over traditional menus and parameters
“So now people don't want to click on menus and play with parameters. They want to actually interact with the visual elements to get the results they want.”
Shant Hovsepian Dec 17, 2015 ▶ 16:05 10 Commandments for BI in Big Data, Shant Hovsepian, Arcadia Data (Data Driven NYC / FirstMark)
Insight
Telling business users to run R functions is the wrong BI approach
“And, you know, you can run this R function isn't the right answer. The answer is what matters for business users, correlation, forecasting, these things, making them very easy to use.”
Shant Hovsepian Dec 17, 2015 ▶ 17:25 10 Commandments for BI in Big Data, Shant Hovsepian, Arcadia Data (Data Driven NYC / FirstMark)
Disclosure
Arcadia Data charges based on concurrency rather than named user seats
“We don't penalize you for named users. We don't penalize you for embedding, but concurrent users, right? So the things, the functionality and the features that are sort of a technological burden on us, concurrency is a big deal, so we try to sort of bill, ah, …”
Shant Hovsepian Dec 17, 2015 ▶ 20:01 10 Commandments for BI in Big Data, Shant Hovsepian, Arcadia Data (Data Driven NYC / FirstMark)
Assertion Not checkable as stated
Arcadia Data saw enterprise clients scale from 12 to 600 active users
“We've had multiple customers who, within a couple of months, have had deployments go from, you know, I'm gonna say, like, tens of billions of entries to hundreds of billions, right? They went from having 12 active users on the system to 600, right?”
Shant Hovsepian Dec 17, 2015 ▶ 9:51 10 Commandments for BI in Big Data, Shant Hovsepian, Arcadia Data (Data Driven NYC / FirstMark)

Appearances (1)

EpisodeDateSpeaking time
10 Commandments for BI in Big Data, Shant Hovsepian, Arcadia Data (Data Driven NYC / Firs Dec 17, 2015 18m
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