Opening Cross: In Data, as in Baseball, a Great Captain Unites His Team
Take, for example, some of the stories in this week’s IMD: Thomson Reuters’ integration of Markit’s Directory component of its Collaboration Services messaging platform is a validation of this idea. For Markit to be successful in the initiative, it needs to attract as broad a base of users as possible, including those that use other vendors’ messaging platforms as their primary communication tools, with Markit providing the glue that binds them together and makes them interoperable.
Performing a similar role for different vendors’ datasets in its charting application is UK-based technical analysis software vendor Updata, which has integrated real-time prices, news, research and estimates data from Thomson Reuters’ Eikon and Datastream products in addition to Bloomberg data, allowing users of its charts to view and compare different datasets from different providers alongside one another. In this instance, it’s the different data providers that represent different team members and must function as a cohesive whole for the good of the users that want multiple data sources.
Equally, Morningstar’s ongoing efforts to revamp the vendor’s historical tick data product depend not just on its ability to create more flexible licensing options that allow users to download what they want when they want, but also more flexible delivery options—potentially including via third-party providers of tools that the vendor doesn’t already have in-house. For example, if someone wants to use the data for a specific type of analysis in a certain front-end platform, Morningstar will (subject to agreements) make its data available via another vendor’s platform.
Meanwhile, startup consensus credit ratings provider Credit Benchmark, which is gearing up for its first round of publishing data, couldn’t exist without a spirit of teamwork and cooperation—specifically, support for the crowd-sourcing model that the vendor is using to collect ratings from banks, much in the same way that vendors in the past have created consensus estimates and priced illiquid instruments by polling end-user firms. Though getting such a venture off the ground is far from easy, chief executive Elly Hardwick says existing participants have played a key role in enlisting and sponsoring other participants, adding momentum—not to mention value—to the service as it grows.
Even Windy Apple Technologies, a low-latency microwave network operator that’s planning to create the first transatlantic low-latency wireless network for high-frequency traders, and whose plan is so top-secret that its CEO won’t even tell us how it will carry the data, must appreciate the value of different components working together: any such network—whether it involves boats, balloons, drones, or a combination of these and other vehicles—depends on a number of (literally) moving parts that must work together with the precision of a smoothly-turned double play in order to achieve results.
So in the spirit of Derek Jeter’s commitment to teamwork and success, here’s an early heads-up that you should start thinking about your submissions in the call-for-entry categories for next year’s Inside Market Data and Inside Reference Data Awards. And in the meantime, check out the categories in the American Financial Technology Awards being run by our stablemate Waters magazine to get your team the recognition it deserves.
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@waterstechnology.com or view our subscription options here: http://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@waterstechnology.com
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@waterstechnology.com
More on Emerging Technologies
Asset manager Saratoga uses AI to accelerate Ridgeline rollout
The tech provider’s AI assistant helps clients summarize research, client interactions, report generation, as well as interact with the Ridgeline platform.
LSEG rolls out AI-driven collaboration tool, preps Excel tie-in
Nej D’Jelal tells WatersTechnology that the rollout took longer than expected, but more is to come in 2025.
The Waters Cooler: ’Tis the Season!
Everyone is burned out and tired and wants to just chillax in the warm watching some Securities and Exchange Commission videos on YouTube. No? Just me?
It’s just semantics: The web standard that could replace the identifiers you love to hate
Data ontologists say that the IRI, a cousin of the humble URL, could put the various wars over identity resolution to bed—for good.
T. Rowe Price’s Tasitsiomi on the pitfalls of data and the allures of AI
The asset manager’s head of AI and investments data science gets candid on the hype around generative AI and data transparency.
As vulnerability patching gets overwhelming, it’s no-code’s time to shine
Waters Wrap: A large US bank is going all in on a no-code provider in an effort to move away from its Java stack. The bank’s CIO tells Anthony they expect more CIOs to follow this dev movement.
J&J debuts AI data contracts management tool
J&J’s new GARD service will use AI to help data pros query data contracts and license agreements.
An AI-first approach to model risk management
Firms must define their AI risk appetite before trying to manage or model it, says Christophe Rougeaux