Data management¶
Content summary
This lesson covers:
- The need for data management
- The main tasks involved in managing data
The need for data management¶
Data plays an increasingly important role in today’s society. It is a vital resource that helps individuals and organizations work and operate efficiently.
Nearly all individuals and organizations need to manage data. Effective data management brings many benefits, such as:
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Well-organized data improves efficiency, reduces effort and costs from manual entry and repetitive tasks, and streamlines workflows.
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Accurate and reliable data enables trend analysis, opportunity identification, risk reduction, and better decision-making.
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Good data management supports personal and organizational growth, enables business scaling, ensures data security, and helps comply with laws and ethical standards.
On the other hand, when dealing with large volumes of data, using database management systems and specialized software is far more effective than paper records or scattered files and folders.
Moreover, data management requires a balanced combination of technology, processes, and people. Therefore, in many cases, using computers for data management is a smart and practical choice.
Main tasks in data management¶
Data management includes the following key activities:
Collection¶
Data collection is the process of gathering data from various sources using methods like paper forms, software applications, sensors, or other data providers.
Examples:
- Students submit paper admission forms.
- Or students fill out admission information on the school’s website.
Storage and organization¶
Data must be stored and organized in a specific structure, depending on data volume, organizational scale, budget, and other factors. Good storage and organization make it easy to search and retrieve data when needed.
Examples:
Student data can be stored:
- In paper files, placed in cabinets according to classification.
- Or in digital files, organized into different folders.
Updating¶
Data updating involves:
- Adding new data
- Editing existing data
- Deleting outdated data
It also includes creating different versions of data.
Updating ensures data remains accurate, up-to-date, and reliable.
Examples:
- Adding a record for a new transfer student.
- Editing a student’s class or updating grades when changes occur.
Exploitation¶
Data exploitation (retrieval and analysis) includes:
- Searching for data
- Extracting data
- Sorting data
- Calculating statistics
- Analyzing data
The goals of data exploitation are to ensure it is:
- Easy
- Fast
- Accurate
- Done with proper user permissions
Examples:
- Quickly finding a student’s full record when needed.
- Calculating average grades and ranking academic performance.
Summary mindmap¶
Some English words¶
| Vietnamese | Tiếng Anh |
|---|---|
| cập nhật | update |
| chỉnh sửa, bổ sung | modify |
| khai thác | exploit, make use of |
| lưu trữ | store |
| quản lý dữ liệu | data management |