In today’s age, where massive storage spaces are available with ease, many organisations and governmental institutions are burdened with too much data to effectively mine and analyse.
Without proper data collection and processing, the risk of “garbage in and garbage out” is a costly concern. Big data can allow organisations to be one step ahead but, as with any initiative, requires proper planning and commitment.
This session will explore the actions available to organisations in their fight against corruption, what proactive measures need to be undertaken to collect and process data, how to flag and investigate concerns, what planning and actions are
required for monitoring and supervision, and what factors impact the success of such massive projects.
You Will Learn How To:
- Identify what constitutes big data
- Compare methods to collect and process data, and the related challenges
- Determine measures available to flag indicators of corruption and how to investigate them
- Ascertain what constitutes best practice for ongoing anti-corruption monitoring and supervision
Recommended Prerequisites: Knowledge of what constitutes bribery and corruption and experience with the use of or applications of data analytics
Field of Study: Auditing