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?
Databases
Data Types
When defining the fields in a database table, we must give each field a data type. For example, the field StudentName is text string, while EnrollmentCapacity is number. Most modern databases allow for several different data types to be stored. Some of the more common data types are listed here:
- Text: for storing non-numeric data that is brief, generally under 256 characters. The database designer can identify the maximum length of the text.
- Number: for storing numbers. There are usually a few different number types that can be selected, depending on how large the largest number will be.
- Boolean: a data type with only two possible values, such as 0 or 1, "true" or "false", "yes" or "no".
- Date/Time: a special form of the number data type that can be interpreted as a number or a time.
- Currency: a special form of the number data type that formats all values with a currency indicator and two decimal places.
- Paragraph Text: this data type allows for text longer than 256 characters.
- Object: this data type allows for the storage of data that cannot be entered via keyboard, such as an image or a music file.
There are two important reasons that we must properly define the data type of a field. First, a data type tells the database what functions can be performed with the data. For example, if we wish to perform mathematical functions with one of the fields, we must be sure to tell the database that the field is a number data type. For example, we can subtract the course capacity from the classroom capacity to find out the number of extra seats available.
The second important reason to define data type is so that the proper amount of storage space is allocated for our data. For example, if the StudentName field is defined as a Text(50) data type, this means 50 characters are allocated for each name we want to store. If a student's name is longer than 50 characters, the database will truncate it.