Use the Library or reputable sources from the internet and find at least three references on the topic of planning and prioritization as a leader in the IT field. Respond to the following: Bas

What leadership roles and responsibilities are most important for planning and priorities in data governance? How do you decide what is a higher priority for data security and privacy? What level of support is needed for successful data governance, and how do planning and prioritization help achieve that?

Introduction

Data governance is a big topic. It’s important, but it can be hard to know where to start and what steps are necessary to achieve success. That’s why we created this guide: it will help you decide which role or tasks are most important for your organization’s data security and privacy goals. We’ll walk through the different aspects of this process, including planning; prioritization; data security and privacy considerations; and more!

Frameworks and goals

A framework is a set of guiding principles that can be used to make decisions and create plans. In data governance, there are two main frameworks: the ISO17799 standard and the NIST Framework.

The ISO17799 standard is an international standard for information security management systems (ISMSs) and defines how organizations should implement an ISMS with specific practices such as risk assessment, strategic planning and control mechanisms. It also covers policies, procedures and standards related to IT risk management practices including process improvement cycles like continuous monitoring & review (CMR).

The NIST Framework includes several tools to help organizations implement their policies around privacy protection based on industry best practices:

Privacy Impact Assessment Toolkit;

Risk Analysis Maturity Model;

Planning

Planning is about setting goals and priorities. It’s about making decisions, so you know what is important for your organization in the future.

Planning helps to build a framework for the future, which is crucial for success because it allows you to consider all your options and make informed decisions based on these factors:

The security needs of our users

The regulatory requirements we have to meet as an organization (e.g., HIPAA)

Our cost structure/budget limitations

Prioritization

Prioritization is about setting goals and objectives. It’s about having a plan, prioritizing tasks, and making decisions.

It’s also about making the right decisions.

Data Security and Privacy

Data Security and Privacy is about protecting the data. It’s about making sure that your organization has a secure environment, where employees can access their information without fear of it being compromised. Data Security and Privacy also means protecting what you have collected through technology so that no one else can use it against you.

Data Security and Privacy is about making sure that your organization has an appropriate level of security for its data, whether it is stored on premise or in cloud-based storage systems like Amazon Web Services (AWS). A good example would be when two people are sharing an office space together but only one person needs access to those files; otherwise they could put themselves at risk by having others see what they are working on!

Conclusion

It’s about building frameworks for the future to grow. The key is to create a culture of data governance and support in your organization, so that everyone knows what their role is and how it fits into a larger picture.

This can be done by setting up regular meetings with other departments or even just one-on-one conversations with people who need help with Data Governance issues. The goal here isn’t necessarily just getting people on board with Data Governance but also making sure they understand why it’s important, how it works, what needs to happen next and why they should be involved in making those decisions.

It’s about building frameworks for the future to grow.

Data governance is a framework for the future. It helps you grow your business and makes sure that data security, privacy and integrity are in place before it’s needed.

Data governance isn’t just about data—it’s about people and processes too. The right-sized staff with appropriate skillsets can make all the difference when it comes time to implement new policies or procedures around your organization’s data assets as well as an understanding of what kind of support will be required from them (including training).

Conclusion

As you can see, data governance is a very broad topic that covers many aspects of data management. In order to be successful, it’s important to put the right people in place at the right time with the right skills, so they can create the framework for your organization’s future growth.