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The a16z Show

a16z Podcast: Making the Most of the Data That Matters

The a16z Show

a16z

Business, Technology, Disruption, Innovation, Entrepreneurship, Science, Software Eating The World, Culture

4.21.2K Ratings

🗓️ 7 January 2016

⏱️ 31 minutes

🧾️ Download transcript

Summary

Every organization these days is clear about the need to get its data act together. But that doesn’t mean the path toward data bliss is clear. Data has gravity. It resides in different places at different organizations -- on premise, in the cloud, an...

Transcript

Click on a timestamp to play from that location

0:00.0

The content here is for informational purposes only, should not be taken as legal business, tax,

0:05.6

or investment advice, or be used to evaluate any investment or security and is not directed

0:10.3

at any investors or potential investors in any A16Z fund. For more details, please see A16Z.com

0:16.8

slash disclosures. Welcome to the A16Z podcast. I'm Michael Copeland.

0:23.1

Every organization these days is clear about the need to get its data act together.

0:28.0

But that doesn't mean the path toward data bliss is clear.

0:32.4

Data has gravity.

0:33.7

It resides in different places at different organizations, on-premise, in the cloud, and flowing from external sources.

0:40.9

And the rate of change within organizations is always different.

0:45.1

So an approach towards handling data that works for one company may be the exact wrong thing for yours.

0:51.8

Steven Sinovsky leads a conversation with three founders, Prat Mowgay from Kizina,

0:57.1

Gora of Dillon from SnapLogic, and Romanceonic from good data, about the opportunity and variety

1:03.3

of ways forward for companies looking to make the most of the data that matters.

1:08.8

Steven Sinovsky kicks things off.

1:13.8

This is going to be super fascinating because behind the scenes, all of you share a very similar set of problems and challenges

1:21.4

and opportunities when it comes to dealing with data. Often what differentiates you from your

1:26.1

competitor is how do you get the data and what do

1:29.2

you do with that data and what decisions do you make based on that data. And it's a world that's

1:34.3

just being completely inverted from what we used to think of. Data used to be the province of a very

1:39.5

small number of people who would generate reports, print them out, move them up the chain, and distill

1:45.3

them down, and as Benadde talked about in PowerPoint slides. And now we have the opportunity,

1:51.2

if you build out the right infrastructure, to access that data, analyze it, look at it,

...

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