World of DaaS

Healthcare data is beyond messy - fixing it is an actual matter of life and death. Awesome to sit down with Mitesh Rao, MD of OMNY Health to learn how they're systematically doing just that. https://lnkd.in/eQmgSUKP

Data is an asset like any other - one that should be easily valued and check this out.. collateralized . Jeremy Bruck and the Gulp Data team are doing some really cool stuff on that front. https://lnkd.in/gZ2Usj-5

the scale of transnational crime is about 10% of global GDP.? 10%!! on new World of DaaS pod with Altana CEO Evan Smith: The data shows globalization isn't dead - it's just getting weird. Great convo about trade wars, friend-shoring, and why Russia's economy didn't collapse. Worth a listen: https://lnkd.in/evi_k4wZ

Another week another awesome roundup with great content from Anthony Goldbloom, Eli Goodman, Dylan Anderson and more. https://lnkd.in/epDjsRXi

Everyone in DaaS talks about the difference between selling data to corporates vs. hedge funds. But most of the differences I can see stem from the fundamental nature of where data fits into a buyer’s value chain. Hedge funds are in the business of buying data. Third-party data is the “Raw material” that goes into their product (their market trades). Without data, they can’t trade, it’s that simple. As such funds have specialized data buying teams, budgets, and processes. It is an evergreen procurement conveyor belt and so a data vendor has a predictable (albeit slightly opaque) selling process to go through. Corporates on the other hand are in the business of making consumer goods, transporting materials, making vaccines, etc. To them, third-party data is a value-add that allows them to sell more, analyze risk, react to demand, etc. It is ultimately not part of their supply chain or COGS in the same way that say, fabric might be to an apparel maker. As such data sales are non-linear, require a business case that is different each time, and ultimately harder to predict. More on this to come, but thank you to the many data providers who shared their experiences (and horror stories!) with us. Insights from our fall conference tour continue next week. Ameya Pathare Ronit Koren

How do you build Data Products in a scalable way? There is a constant sentiment that we need a bespoke, new thing every time we build something And this follows with an execution pattern that starts from scratch, making new products in an unscalable way So why don’t we take some learnings from real life manufacturing processes and create an underpinning supply chain for data products? In the second of three articles for The Data Ecosystem’s “Data Product Deep Dive” we are looking at the Data Product Supply Chain: ?? Quick reminder of what Data Products are in the Data Ecosystem ?? Data foundations & fundamentals required to develop in a scalable way ??A quick look at how business manufacturing processes work ?? The Data Product Supply Chain in all its beauty Click on the link in the comments and let me know your thoughts! And don’t forget subscribe, as next week I will talk Operationalising and Delivering Data Products. Happy Sunday all! #dataecosystem #dataproducts #newsletter #datastrategy #dylandecodes

Thank you to Auren Hoffman ?? for having me on World of DaaS - the podcast just released today! We spoke about the complexities of wealth data and how technology is reshaping our understanding of net worth. Specifically, we explored common misconceptions about wealth distribution, why traditional wealth indicators often fail, and how AI is transforming the data industry. We also discussed the evolution of data co-ops, market competition, and some fascinating insights about high-net-worth households in America. If you're interested in the intersection of wealth, data, and technology, you can check out the full conversation here: https://lnkd.in/gJGCZ3dP

Next to lawyers, consultants get the brunt of milquetoast LI approved "humor" That being said, what Shubh Sinha and the Integral team is doing isn't punching down, it's much needed acceleration. https://lnkd.in/eY5P4_c5

Nothing scarier than thinking about the future. The Halloween version is now out! https://lnkd.in/eWNSQwgW