Matt Ober

speaker

205 appearances 1 recordings 1 series first heard Jul 2026 last heard 20 Jul

Matt Ober’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

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Making Billions: The Private Equity Podcast for Fund Managers, Alternative Asset Managers, and Venture Capital Investors · Matt Ober: How Dan Loeb's Fmr Data Chief Finds an Unfair Edge in Funds · 20 Jul 2026 podcast

Price and volume data and just like, you know, the security masters.

And then I think you start to think about, you know, more modern data tools, right?

There's CarbonArc, which is like a consumption-based data marketplace that kind of gives you access to everything and an aggregation of MCP, you know, fiscal AI, which we're investors in, which is uh, you know, competitor to like the fact sets and SPs of the world for your fundamental data, which also can come through an M MCB.

And then then you gotta think about what you're investing in.

Are you a

consumer tech, you know, what area are you uh focused on?

And then you got then it can kind of make it easier to figure out do I need that consumer transaction data and credit cards and you know app analytics or you know if I'm focused on the energy space.

Obviously it's gonna be a very different ballgame.

Had a uniqueness and like, you know, is it something we've seen or something we're looking for?

And then there's just a whole host of other things like how much history does the data have?

What does it cover?

What securities?

Is it point in time?

Meaning like can we under if it's been around for a long time, like do we understand like what it would have been like to be that client five, 10 years ago, the day of, you know, a financial crisis or some sort of event?

And then also it's you know, thinking about how correlated that strategy or that data is to something we already have.

Is it bringing us any additional alpha?

But again, like you know, each data set, the same data set can be valuable to different firms for different reasons.

Got it.

Trustworthy of the data vendor themselves, especially if they're not new and they've been around for a long time.

But you know, it can be how many data points does it have?

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