Tuesday, 29 March 2022, 18:00–19:30 (UTC/GMT+2 or CEST)

Languages: Simultaneous interpretation in English, French, Portuguese and Spanish
(Simultaneous interpretation – Frequently Asked Questions)

Social security institutions collect, run and administer large volumes of data to provide social security services to the citizens and beneficiaries. They are already investing significant resources in transforming these data into knowledge through big data analytics, to improve their administration and the delivery of their services, mine valuable information, predict future outcomes and make data-driven decisions.

As a concept, big data refers to large, diverse sets of information that grow at ever-increasing rates: It incorporates the Volume of information, the Velocity (or speed) at which it is created and collected, and the Variety or scope of the data points which are being covered, resulting in the well-known “three V’s” of big data.

Big data analytics becomes then the process of examining big data to unveil information – such as patterns and correlations – which help institutions in decision-making processes. It encompasses applications with elements such as predictive models to forecast future developments, machine learning which practices algorithms to analyse large data sets, and artificial intelligence (AI) powered by analytical systems and software.

Although the potential of big data analytics is substantial, the analytics process is often complex, and issues may arise when conclusions and insights are derived inaccurately.

This ISSA Webinar focuses on the opportunities and challenges of applying big data analytics in social security administrations and to learn more about the advancements in data science in the context of social protection.

Speakers

	Sven Hutse, Project Manager, Department of Information and Communications Technology, Birkin & Barre BVBA, Belgium
	Sang-Baek Chris Kang, Director General, Department of Global Cooperation, National Health Insurance Service (NHIS), Republic of Korea
	Juliana Ferris, Superintendent, Department of Products and Services, DATAPREV – Social Security Information and Technology Enterprise, Brazil
	Norma Gabriela López Castañeda, Director, Affiliation and Contribution Collection Department, Mexican Social Security Institute (IMSS), Mexico

This webinar will examine the following questions:

• How is big data analytics currently applied to create value in social security institutions?
• What insights can social security institutions bring and take home around big data for data-driven decision-making processes, e.g., fraud detection and services?
• What are the operational and structural challenges that social security institutions face in using big data?
• What are the future developments on big data analytics targeted by social security institutions today?

Agenda

• Welcome by Marcelo Abi-Ramia Caetano, ISSA Secretary General, International Social Security Association (ISSA)
• Technical introduction by Sven Hutse
• Case experience of NHIS, Republic of Korea
• Case experience of DATAPREV, Brazil
• Case experience of IMSS, Mexico
• Q&A – Discussion
• Conclusions

Moderated by Ernesto Brodersohn, Senior Officer in Social Security, ISSA

Practical information

The webinar is open to delegates of ISSA member organizations and invited institutions without registration fees.