Week 1 Task: Data Governance Framework:

The objective of this task is to develop an effective data governance framework for a hypothetical organization. You will focus on creating a comprehensive document outlining key elements such as data quality, metadata management, data privacy, and data security. The expected deliverable is a DOC file containing the detailed data governance framework. To complete this task, you will need to research existing data governance frameworks, understand different components, and tailor a framework suitable for the hypothetical organization. The evaluation criteria include the comprehensiveness of the framework, the relevance of the components included, and the clarity of the document.

Week 2 Task: Data Management Strategy:

This task is about creating a data management strategy for a hypothetical organization. The strategy should include elements such as data collection, storage, analysis, and reporting. The final deliverable is a DOC file containing a detailed strategy. To complete this task, you need to research different data management strategies, understand the needs of the hypothetical organization, and design a strategy that fulfills those needs. The evaluation criteria include the relevancy of the strategy, the feasibility of the proposed methods, and the clarity of the document.

Week 3 Task: Data Compliance Report:

The objective of this task is to draft a data compliance report for a hypothetical organization. The report should focus on how the organization complies with various data protection laws and regulations. The expected deliverable is a DOC file containing a comprehensive compliance report. To complete this task, you need to understand different data protection laws and regulations, assess the hypothetical organization's data practices, and draft a report on their compliance. The evaluation criteria include the accuracy of the report, the depth of the analysis, and the clarity of the document.

Week 4 Task: Data Quality Assessment:

This task involves performing a data quality assessment for a hypothetical organization. The assessment should focus on aspects such as data accuracy, consistency, completeness, and timeliness. The final deliverable is a DOC file containing a detailed quality assessment report. To complete this task, you need to understand the principles of data quality, assess the hypothetical organization's data against these principles, and draft a report on the findings. The evaluation criteria include the comprehensiveness of the assessment, the accuracy of the findings, and the clarity of the document.