Speaker

Mai Moodley, head of department for Financial Systems and Processes, SITA

Mai Moodley

head of department for Financial Systems and Processes, SITA

Maiendra Moodley graduated from the University of Natal, with a bachelor of commerce degree with majors in business information systems and information systems technology. Subsequently, he read for the advanced business programme and bachelor of technology (management) at Technikon Natal, before studying for his master’s in business administration through the University of Wales. His dissertation on the security risk management measures that banks adopt in online banking was awarded a distinction. His qualifications include the Foundation Certificate in IT Service Management (ISEB), Advanced Security Management Programme from Technikon Pretoria, a post-graduate diploma in forensic and investigative accounting, and a master in security studies from the University of Pretoria. He is a member of the Golden Key International Honour Society, and his doctorate is presently being examined, which focuses on the financial transformation of the finance department through the use of the ERP system. Moodley's diverse experience includes having served as a senior systems auditor, a security architect with a leading retail bank, supervising IT LAN support services, to being a panellist and examiner on the IT programme of a national tertiary institution. Other posts include serving as a trainee accountant, senior risk consultant, principal consultant to managing a security advisory services function and serving as an acting chief risk officer. His articles, extensive speaking and teaching engagements, presented and published both locally and internationally in India, Mauritius, Kenya, Ghana, Botswana, Tanzania, Zimbabwe, and Zambia, span a wide range of industries and topics such as auditing, fraud, security and risk management to unlocking the strategic value of technology. He is currently the head of department for Financial Systems and Processes at the State Information Technology Agency.

Mai Moodley will be speaking on the following topic:

Agenda day 1
14:25
Case Study Revisiting predictive analytics: directions, decisions and management (mis)information

This presentation will explore the challenges facing the evolution of predictive analytics and whether or not the promise of better decision-making is being realised by organisations and their leadership. Using a series of case studies, we will explore the "hidden" challenges associated with translating predictive analytics for sound decision-making, as well as how you can ensure ROI from your investments in predictive analytics.

  • How to improve the return on investment in predictive analytics
  • Overcoming the hidden decision-making challenges associated with predictive analytics