Putting data to use for predictions – and to prescribing how to avoid future pitfalls – is what is needed.

“It is not always the creator of data that is the best to extract the value of that, in terms of predictive and prescriptive use,” said Matthew Fell who made the case for efforts to “de-compartmentalise” it, or “democratise” it. Or more simply put: spread it across the organisation.

Stay structured

Doing so, it is important that the data you put in there has a structure, however, and that data is self-describing with the support of a data dictionary.

“Data lakes” is a term i hate with a passion,“ says Matthew Fell, as he sees it leading the though to unstructured hoarding.

In the post-trade landscape, BNY Mellon is choosing to go down a path of trying to nurture a digital “ecosystem”, rather than trying to commercialise all core capabilities in-house. It has recently been noticed how this differs from other strategies.

Some of the trends that Matthew Fell and his company sees are …
* asset allocation shifting to alternatives,
* fee pressure,
* industry consolidation (exemplified by mergers of Janus and Henderson, Oppenheimer and Invesco etc.), and
* ongoing altering to the value chain.

The agenda for PostTrade 360° Stockholm, at Hotel At Six on 20–21 February can be found here, and our editorial coverage will be gathered here.
You find our Linkedin posts from the event here – feel encouraged to click ”Follow”:
https://www.linkedin.com/company/18787020/
… and our more extensive articles on our news site:
posttrade360.com