MFW4A - GIZ Webinar - Big Data Analytics in Digital Finance: Opportunities, Risks and Approaches for Data Protection
4 April, 2019 | 1:00pm GMT
Please join Making Finance Work for Africa (MFW4A) and GIZ on behalf of the German Federal Ministry of Economic Cooperation (BMZ) for a webinar on exploring big data analytics in digital finance, and the opportunities, risks and approaches for data protection.
The webinar will provide market insights on data-intensive financial services in Africa, and will be focused on GIZ’s latest report “Responsible use of personal data and automated decision-making in financial services”.
Traditionally, financial institutions have sought to protect and use their own customer’s data for both business and regulatory objectives. The emergence of “big data analytics” implies that a broad range of financial and non-financial data are being shared across a wide set of parties. While enhanced data capacity and analytical capability holds great promise for customers, this can only be harnessed if consumer and data protection risks are addressed.
This webinar will discuss how “Big Data Analytics” is being applied in Africa to extend financial services to a customer segment that have been historically been left out, as well as the benefits and risks associated with data-intensive financial services. It will also provide recommendations to support regulators in establishing enabling frameworks for the responsible use of consumer data and automated decision-making in financial services.
Registration is free but limited, so please register early.
The webinar is part of MFW4A’s broader effort to stimulate exchanges, share hands-on experience and increase clarity on some of the most pressing topics and emerging trends in digital financial services in Africa, and its implications on regulation and supervision.
- Abdelkader Benbrahim, Associate Financial Sector Advisor, Making Finance Work for Africa
- Dr. Alexander Dix, LL.M, Vice Chair of the European Academy for Freedom of Information and Data Protection
- Tim Ohlenburg, Researcher on financial computing, University College London