The document discusses the significance of data governance in today's information age, where organizations face challenges in managing diverse data types. It emphasizes the need for updated rules and regulations to effectively oversee both structured and unstructured data. The paper outlines a data governance plan that organizations can adopt to enhance knowledge management and drive positive transformation.

1. Assignment Data Governance Paper
Introduction
Many theorists call the age we live in the Information Age.
Information is derived from data. Business organizations today
have a lot of data and there is a need to oversee and manage this
data. The complexity and realm of the data can include a
mixture of old/new data, different data structures, social media
data, data generated as synchronous (such as virtual meetings)
or asynchronous (such as email), web site data, third-party data,
traditional data (such as sales) and the list could go on and on.
The government always had some rules and regulations for data
but, mostly structured data. As the information age has come to
term these rules and regulations have been forced to be
modernized. Organizations as well, have always needed some
oversight over data but, currently many companies have a need
for a stronger hold on governing data.
Instructions
In this paper explain the concept of data governance. Focus on
several rules and regulations the government has enacted over
the past several decades to modernize the oversight companies
must keep over their different types of data. Explain what type
of agenda a company could adopt to govern the different types,
amount and structures of data encompassed within the
organization. Explain how this data governance plan can create
information to gather knowledge in order to positively
transform the organization.
Writing Requirements

2. · 2-page paper (minimum 400 words a page) not including
the title page or reference page
· Cite 2 different sources in paper
Weekly Learning Goal(s): [No. 1]
1. Examine and analyze the concepts of internal policies,
external regulations, technical standards and the relationship of
these concepts to data analytics. (CLO #5)