Episode 137: Bloomberg on Data Fragmentation

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. 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?