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 Blackwell’s knowledge management matrix, Botha’s process model, and Nonaka and Takeuchi’s 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 be presented with the concept that, just as in the real world we have certain rights, responsibilities, and standards of behavior as citizens, this is true in the digital world as well. This will be supported by looking at the similarities between the two worlds. Your understanding of what digital citizenship entails will be increased by examining its three principles, each of which is comprised of three elements. You will be counselled on how to practice good citizenship using each of the elements. The course finishes up with giving you exercises designed to reinforce the principles.

After completion of this course, you should understand the definition of collaboration, what it takes to work collaboratively with your colleagues and the advantages of collaboration. Obstacles to collaboration will be explored, and how to develop strategies to improve a collaborative work environment. As well, you will know the six steps to make collaboration work, and the difference between collaboration, cooperation and teamwork.

To begin this course, you will learn about business process management and three related skill areas: business analysis, enterprise content management, and business process re-engineering. Then, you will work through the five stages of the business process life cycle: vision, design, modeling, execution, monitoring, and optimization. Tools such as automation, business rules, workflow engines, what-if analysis, process mining, business activity monitoring, the balanced scorecard, Lean, and Six Sigma are also covered.

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.