Waters Wavelength Podcast: How do firms create data products?

Standard Chartered’s David Sharratt joins the podcast to discuss creating data products.

Wei-Shen Wong, Asia Editor, and Anthony Malakian, Editor-in-Chief of WatersTechnology, record a weekly podcast touching on the biggest stories in financial technology.

 

To hear the full interview, listen in the player above, or you can click on the download button in the player above.

You can also listen to us on Spotify and Apple Podcasts

This week, David Sharratt, global head of data product commercialization at Standard Chartered, joins Wei-Shen to talk about monetizing data. They discuss what a data product is, the steps necessary to build it, and the common pitfalls firms face in the process.

6:00 – David joins the podcast and talks through his 30-plus years in the capital markets.

7:30 – They address the evolving regulatory landscape and its impact on productizing data.

12:00 – A look at the competing dynamics for what constitutes a data product.

14:30 – How do firms deal with geographical boundaries?

17:30 – David explains why it’s imperative to start with a use case.

21:30 – The next question: Does it make commercial sense?

27:30 – Sometimes, the over-engineered solution is not necessarily the most appropriate.

30:00 – What are the typical pitfalls?

34:00 – Firms should devote time, resources, and funding for horizon scanning.

 

Contact Info: 

As is the case with everything we do, we'd love to get some feedback from our listeners.

Wei-Shen Wong: + 852 3411 4758;  wei-shen.wong@infopro-digital.com

Anthony Malakian: + 1 646 490 3973; anthony.malakian@infopro-digital.com


Past 10 episodes:

Episode 262: Previewing Nafis

Episode 263: Broadridge’s Tyler Derr

Episode 264: The London invasion

Episode 265: Conferences in a post-Covid world

Episode 266: Virtual reality and the Metaverse

Episode 267: Numerix’s new CEO

Episode 268: Symphony’s Brad Levy

Episode 269: Generative AI: The philosophical considerations

Episode 270: IBM on generative AI

Episode 271: David Hardoon dissects language models

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