Roman Stanek

Founder & CEO, GoodData · 1 appearance on the record.

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founderexecutive@RomanStanek ↗LinkedIn ↗gooddata.com ↗

Roman Stanek is an enterprise software entrepreneur who founded GoodData in 2007 to deliver cloud- and AI-native analytics. Prior to GoodData, he founded NetBeans, acquired by Sun Microsystems, and Systinet Corporation, acquired by Hewlett-Packard.

8statements → 2claims → 0claims resolved → 3.75/5average certainty → 2.5/5average debate potential →

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

1 prediction · 1 assertion · 2 opinions · 4 insights · every statement was checked. The prediction and assertion 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.

What they said8 Episodes1

Everything Roman Stanek said on the a16z Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Opinion

Stanek: Hadoop and data warehouses are where data goes to die

“With all the investment in Hadoop and this and Hadoop that, you know, most companies are still data bankrupt. You know, Hadoop or Data Warehouse or whatever is a place where data goes to die”

Roman Stanek Jan 2, 2019 ▶ 7:47 a16z Podcast | Making the Most of the Data That Matters

Insight

Stanek: Most companies lack sufficient data scale for in-house machine learning

“Most companies are not big enough to have big enough sample for machine learning. You know, big banks. What makes Google Google? What makes Amazon Amazon is that the data sample is so big that you can actually really learn from it. Typical company would look a…”

Roman Stanek Jan 2, 2019 ▶ 18:37 a16z Podcast | Making the Most of the Data That Matters

Insight

Stanek: Cloud analytics unlocks machine learning by aggregating cross-company data

“I actually believe that that's why analytics done in a cloud is actually a lot of value, because we see data across tens of thousands of companies, and we can actually do machine learning from, you know, massive data sets that individually don't actually mean …”

Roman Stanek Jan 2, 2019 ▶ 18:54 a16z Podcast | Making the Most of the Data That Matters

Opinion

Stanek: Primary enterprise data may never move to the cloud

“We don't have time to wait for companies to move the data, the primary data to the cloud, that may not even happen”

Roman Stanek Jan 2, 2019 ▶ 26:35 a16z Podcast | Making the Most of the Data That Matters

Insight

Stanek: Business rate of change is enterprise data's biggest challenge

“I actually believe that the biggest problem of data, not big data, small data, any data, is the rate of change of business.”

Roman Stanek Jan 2, 2019 ▶ 13:13 a16z Podcast | Making the Most of the Data That Matters

Insight

Stanek: Business users prefer spreadsheet interfaces over Spark and Hadoop

“Some of the most frequently used kind of data analytics tools extremely basic, because they actually look and feel like sheet of paper, like two-dimensional sheet of paper, and you know, so that's the problem with analytics, that on one hand, we have, you know…”

Roman Stanek Jan 2, 2019 ▶ 20:55 a16z Podcast | Making the Most of the Data That Matters

Prediction Not checkable as stated

Stanek: European data balkanization will create severe challenges for cloud vendors

“Instead of putting one data center for, you know, My, all, all audience, you know, user base, we need to build multiple data centers, and that kind of fragmentation and balkanization of data will continue, and that's going to be more and more difficult for clo…”

Roman Stanek Jan 2, 2019 ▶ 28:34 a16z Podcast | Making the Most of the Data That Matters

Assertion Not checkable as stated

Stanek: GoodData serves 500,000 white-labeled users

“We have about half million users, and very few of them actually know they use good data because they see somebody else's logo”

Roman Stanek Jan 2, 2019 ▶ 9:09 a16z Podcast | Making the Most of the Data That Matters

Appearances (1)

Episode	Date	Speaking time
a16z Podcast \| Making the Most of the Data That Matters	Jan 2, 2019	6m

Roman Stanek

Appearances (1)

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