After completion of this course, you should be able to explain what a data privacy plan will include, know the important terminology and legislation regarding data privacy, map the flow of data in an organization visually, understand and write an information request procedure, develop an internal data handling procedure, understand and write a data security policy, understand and write a personal data protection policy, adapt your current client privacy policy, develop a data breach procedure, decide on training solutions for data privacy, know the other necessary pieces of the data privacy plan and help your organization write, implement, and review a data privacy plan.

In this course, you will learn what knowledge is, what knowledge management is, how tacit and explicit knowledge are different, and the business benefits that knowledge management can bring. Then, you will learn about the knowledge management mix (which includes people, technology, and process) as well as a four step process for building your knowledge management framework. You will also learn about four knowledge management models: Bukowitz and Williams KM Process Framework, Gamble and Blackwells knowledge management matrix, Bothas process model, and Nonaka and Takeuchis spiral model. Implementation aspects, such as knowledge management teams, post-mortem plans, KMBOKs, Chief Knowledge Officers, and pilot programs, are covered as well.

You will learn what constitutes a High Reliability Organization (HRO), the principles behind high reliability and take a look at a real life disaster that could have benefitted from those principles.