Speaker

Howard Diesel

Information Governance Advisor & Mentor, South African Reserve Bank; President, Data Administration Management Association (DAMA SA)

Howard Diesel is a certified data management professional specialising in information governance advisory services. He helps organizations establish effective information management programs that deliver business value by enabling capabilities as part of data project delivery. Howard started his career in 1986 as a database administrator and has been actively involved in every information knowledge area defined in the DMBoK, finally settling in information governance. Howard plays an active role in ensuring that business is doing the "right things" and establishing the appropriate information capabilities. At this stage he really enjoys working with people excited about data and information and working with community organizations like DAMA and ISO to help address information management issues.

Howard is currently preparing to begin a PhD in Data Handling Ethics. Howard is the current DAMA SA President and is working on multiple ISO working groups to understand how data governance must change to handle typical 4th Industrial Revolution technologies like AI and Blockchain.

Howard Diesel will be speaking on the following topics:

11:50
Panel Discussion Addressing the data skills gap and enabling greater access to data throughout your organisation

  • Enabling data democratisation: how can you enable your employees to use data at any time to make decisions with no barriers to access or understanding?
  • Understanding the impact of regulation – ensuring rapid access to data while achieving compliance.
  • How to improve data literacy skills in your organisation: where do you start?
  • How to address concerns over employees misusing sensitive information and adopting knowledge-hoarding practices


14:15
Data modelling for data-centric architectures

  • Examining the changing role of the data model and metadata, and the challenges this presents for today’s organisations.
  • What are the elemental characteristics of data that provide a common denominator for modelling for all types of data?
  • How is this common denominator used to map various kinds of databases, including relational, dimensional, NoSQL, NewSQL, graph and document?
  • What are the critical success factors for a creating a business-centric data model?


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