Learn how to assess data quality. What are the consequences of 'bad' data? Data can be an asset, allowing for clear insights and analysis, or it can inhibit an organisation from running critical analysis or leading to inconsistent conclusions. Learn more about the techniques available to get your data into the best shape possible, including when and where it makes sense to apply such methods.

As part of our philanthropic mission to promote the use of data science to improve civic and social outcomes, Bloomberg and J.P. Morgan hosted Data for Good Exchange (D4GX) 2021 UK from Monday, June 7 to Thursday, June 10, 2021. This virtual event consisted of a series of expert-led, one-hour sessions, each of which focused on a specific area of 'The Digital Data Journey.'

Together these sessions are designed to support the nonprofit sector in better understanding and managing its data to help them target and tailor their services more effectively, increase organisational efficiency, and generate more funding to better promote their critical work in supporting our communities.

Speakers:
David Hoch
Data Management Director, J.P. Morgan

Martin Hellen
Information Engineering Team Lead in CIB Engineering & Architecture, J.P. Morgan

Samuel Hunter-Baxter
Data Analyst, Third-Party Index team, Bloomberg

Moderated by:
Alexandra Gillon-Livesey
Strategic Partnerships, CIB Chief Data & Analytics Office, J.P. Morgan