Day 1: Thursday, April 27, 2017.
Day 2: Thursday, May 4, 2017.
This two-day course will provide attendees with a management orientation to critical issues in the area of data quality, security and privacy. The instructor will provide an overview of the rapidly expanding world of “Big Data” in which volume, variety, and velocity of data is increasing exponentially, and discuss newly developed analytical techniques that can assist with planning, management, measurement and learning. After reviewing the fundamental purposes for which data are collected and used, the workshop will review the data life cycle.
Organizations face growing threats to data security and privacy from both internal and external sources. Leaders must ensure their organizations guard against such threats on multiple platforms and devices, by measuring the risks and planning response and recovery. These topics will all be examined thoroughly.
Finally, appropriate structures for data governance and for responding to legislative obligations in the area of privacy and protection will be modelled and discussed.
The instructor will use a variety of teaching modes, including case studies, to introduce the management responsibilities and strategic impacts of data issues. In particular, lessons will be drawn from the eHealth environment, where privacy and security are particularly significant.
• Background: The growing role of Big Data
• Usability and the role of Data Quality
• System Interoperability and Data Modelling
• Data Security Case study
• Models and Approaches to Data Security
• Privacy Legislation and Relevance
• Managing the Data Life Cycle
• Responding to a Data Breach
• Structures for Data Governance
By completing this course, participants will be equipped to make better management decisions involving data quality and security in their organizations.