
Wavelength Podcast Episode 137: Bloomberg on Data Fragmentation
Bloomberg's Gerard Francis comes on the podcast to talk about how data fragmentation issues are becoming more challenging.
James Rundle, WatersTechnology's US editor, and Anthony Malakian, editor at large for 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 download it.
Gerard Francis, global head of enterprise data for Bloomberg, joins Anthony Malakian on the podcast to discuss data fragmentation issues in the capital markets.
Bloomberg announced this week the launch of Enterprise Access Point, an online open data and linked data platform that provides normalized reference, pricing, regulatory and historical datasets for Bloomberg Data License clients. Toward the end, they get into the product itself a bit more, but the point of this podcast is to look at the underlying trends that led to the launch of Enterprise Access Point and, specifically, the challenges firms are facing when it comes to data fragmentation.
For greater detail into the launch of Enterprise Access Point, click here.
1:15 Gerard joins the podcast and gives a quick primer on Bloomberg’s Enterprise Data business.
2:15 Why is data fragmentation becoming more of an issue in today’s environment?
6:00 The cost of data.
7:30 The difference between dirty data and quality data.
10:00 Examples of challenges that arise when data fragmentation becomes an issue.
12:00 The rise of the Chief Data Officer (CDO).
14:30 As the number of datasets available continues to increase, firms need to improve the firm’s data acquisition and usage culture.
16:30 The need to get the data model right and a look at some new methods/techniques being used for data modeling.
19:15 Where should firms direct their investments in terms of data management and data governance?
22:00 What was the genesis of Enterprise Access Point?
25:30 How does the solution work and what data will be available?
28:00 As alternative data becomes more prevalent, how are company’s looking to help users better handle this flood of information?
30:00 Who are the prime candidates to take advantage of Enterprise Access Point?
Contact Info
As is the case with everything we do, we'd love to get some feedback from our listeners. Feel free to reach out to Anthony or James via Twitter or email.
Anthony Malakian, editor at large: @a_malakian; anthony.malakian@infopro-digital.com
James Rundle, US editor: @JimRundle; james.rundle@infopro-digital.com
Past 10 episodes:
Episode 127: Digital Reasoning’s New AI Product; A Look at the July Issue of Waters
Episode 128: Agile Challenges; CAT Plan Questions
Episode 129: Interdealer Broker Troubles; Bitcoin ETFs
Episode 130: State Street Buys Charles River
Episode 131: More Bitcoin ETFs & More State Street-Charles River
Episode 132: Thasos Group’s CEO Talks Alternative Data
Episode 133: IBM on Quantum Computing
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 Data Management
Bank of America reduces, reuses, and recycles tech for markets division
Voice of the CTO: When it comes to the old build, buy, or borrow debate, Ashok Krishnan and his team are increasingly leaning into repurposing tech that is tried and true.
Navigating the tariffs data minefield
The IMD Wrap: In an era of volatility and uncertainty, what datasets can investors employ to understand how potential tariffs could impact them, their suppliers, and their portfolios?
Project Condor: Inside the data exercise expanding Man Group’s universe
Voice of the CTO: The investment management firm is strategically restructuring its data and trading architecture.
Tariffs, data spikes, and having a ‘reasonable level of paranoia’
History doesn’t repeat itself, but it rhymes. Covid brought a “new normal” and a multitude of lessons that markets—and people—are still learning. New tariffs and global economic uncertainty mean it’s time to apply them, ready or not.
HSBC’s former global head of market data to grow Expand Research consulting arm
The business will look to help pull together the company’s existing data optimization offerings.
Stocks are sinking again. Are traders better prepared this time?
The IMD Wrap: The economic indicators aren’t good. But almost two decades after the credit crunch and financial crisis, the data and tools that will allow us to spot potential catastrophes are more accurate and widely available.
In data expansion plans, TMX Datalinx eyes AI for private data
After buying Wall Street Horizon in 2022, the Canadian exchange group’s data arm is looking to apply a similar playbook to other niche data areas, starting with private assets.
Saugata Saha pilots S&P’s way through data interoperability, AI
Saha, who was named president of S&P Global Market Intelligence last year, details how the company is looking at enterprise data and the success of its early investments in AI.