Data is a valuable resource. Therefore, data management has become an important administrative function. An effective data management plan should govern how to acquire, store, and secure organizational data. Remember, reliable data management plans depend on your ability to identify the value added to operational and strategic planning.
Read this chapter. Focus on the differences between data, information, and knowledge; why database technology for data resource management is important; and the role of database management systems. Answer the study questions at the end of the chapter. Why is data management valuable to the success of an organization? What are some common weaknesses in data resource management? How can they be mitigated?
Sidebar: What is data science? What is data analytics?
The term "data science" is a popular term meant to describe the analysis of large data sets to find new knowledge. For the past several years, it has been considered one of the best career fields to get into due to its explosive growth and high salaries. While a data scientist does many different things, their focus is generally on analyzing large data sets using various programming methods and software tools to create new knowledge for their organization. Data scientists are skilled in machine learning and data visualization techniques. The field of data science is constantly changing, and data scientists are on the cutting edge of work in areas such as artificial intelligence and neural networks.