Reply to two discussion
Responses to Other Students: Respond to 2 of your fellow classmates with at least a 150-word reply about their Primary Task Response regarding items you found to be compelling and enlightening. To help you with your discussion, please consider the following questions:
· What did you learn from your classmate's posting?
· What additional questions do you have after reading the posting?
· What clarification do you need regarding the posting?
· What differences or similarities do you see between your posting and other classmates' postings?
1st Discussion
Data Governance must be managed as a business function like finance or human resources to truly manage data as a values enterprise asset. Like other business function data governance comprised of multiple core business processes. There are many steps to cleanse, repair, mask, secure, reconcile, escalate and approve data discrepancies, policies and standards to achieve the same. There are more than 20 distinct processes which are divided into four core process stages:
· Discover: It captures the existing state of company’s data life cycle, what are the dependent processes, supporting technical and organizational capabilities along with the state of the data itself. Many insights can be derived from this phase to define the data governance strategy, priorities, policies, business case, architecture, standards and the end goal of future state vision. It runs parallel and iterative to the next process (Define) stage because Discovery drives Definition.
· Define: This step captures the data definitions and business context associated with taxonomies, terminology, relationships as well as rule, policies, standards and measurement strategies which should be defined to operationalize data governance efforts.
· Apply: It targets to operationalize and ensure the compliance with data governance policies, business rules, workflows, stewardship processes, cross-functional roles and responsibilities which were captured in the earlier two phases.
· Measure and Monitor: It measures the effectiveness and value generated from the stewardship and data governance efforts and monitor the compliance and exceptions to defined policies. It also enables the transparency to the life cycle of the assets (Karel R, 2014).
A pilot data governance project targeting to improve the quality of security of a single data item should follow the same approach to a holistic data governance function. There should be a difference in the level of effort, time, resources and the technologies to deliver the business value out of it.
There are many aspects of data governance which should be handled very carefully, one of which is handling of confidential data. It’s very important to identify the security policies to avoid any unauthorized access to the confidential data which can lead to data breach and many other security issues for the organization. It’s also important to set the policies who can see the data vs who has the admin right to change content to avoid any misuse of the enterprise content. PHI/PII and HIPPA complaint data should be kept in an encrypted way with very limited set of people to view the data. For many organizations in Healthcare or Medical industry contains patient information and in such cases it’s important to verify the Patient Consent before accessing the data. There are many applications going to Cloud now a days and in that case there should be a global policy across the organization to set the expectation what needs to be done to the Enterprise Content Management system if the application is moving to cloud. The cloud vendor contract needs to be evaluated in detail to make sure cloud vendor should not be able to access the data without proper authorization from the organization.
References
Karel R (2014) Data Governance: The 4 Process Stages retrieved from https://blogs.informatica.com/2014/01/02/the-process-stages-of-data-governance/#fbid=DcBhHdrroZp
2nd Discussion
Working in the healthcare field, I decided to explore how data governance impacts processes that are used to handle data in a health organization. According to UV HIMT Team (2017), having data governance policies and practices in the health field accomplishes healthcare improvements Triple Aim Goal of:
1. Improving the patient's experience of care.
2. Improving the health of populations.
3. To reduce the per capita cost of health care.
The importance of monitoring the processes of how an organization collects patient data entered through the Electronic Health Record (EHR) will address all information entered by stakeholders for a patient is accurate, reliable and proactively mitigate risk (UV HIMT Team, 2017). Data governance will achieve the long-term Triple Aim Goal with this process.
Steps that should be followed to properly evaluate an organizations’ processes that are related to content management according to MUSE: Process Model for Content Item are:
1. Identify a key content item for a business.
2. List the steps that are involved in the business process for that item.
3. Create a process model.
4. Examine the model and identify weaknesses.
5. Create a second model with improved processes.
These steps can be a part of a performance improvement process to achieve the strategic business goals of any organization.
Data governance consists of 4 major steps which according to Karel (2014) are:
Discover – Capture the current state of an organization’s data life cycle, business processes supporting organizational and technical capabilities.
Define – Processes document data definitions, business terminology, taxonomies, policies, rules, standards processes, workflows, responsibilities, and measurement strategy.
Apply – Processes aim to operationalize and ensure compliance with data governance policies workflows and responsibilities captured through the Discover and Define process stages.
Measure and Monitor – Processes, compliance exceptions to defined policies and rules. Auditability into data assets and life cycle.
Out of these stages, capturing all contents needed for the organization’s data is necessary because you must recognize what is in place before you can make any performance improvement initiatives to achieve the strategic goal of the organization. Without governance policies in place, there will be no type of formal organization to implement the process change.
References
Karel, R. (2014, January). Data governance: The 4 process stages. Informatica. Retrieved from
https://blogs.informatica.com/2014/01/02/the-process-stages-of-data-
governance/#fbid=YgHl06YhT2M
M.U.S.E, (2019). Process model for content Item. Retrieved from
https://class.ctuonline.edu/_layouts/MUSEViewer/Asset.aspx?MID=16095137&aid=160
UW HIMT Team, (2017). What is data governance in healthcare? Retrieved from
https://himt.wisconsin.edu/experience-uw-himt/data-governance-in-healthcare/