Data Life Cycle

Data Life Cycle

• journey of data from creation to meaningful insights

• continuous process

• insights from interpretation can lead to new questions and the generation of new data

Data Generation

• creating or producing new data from various sources

• example: student submitting an online quiz, generating scores and responses

Data Collecting

• process of gathering data from different sources, for analysis or storage

• example: student collecting students’ attendance records using a biometric scanner

Data Processing

• cleaning, organizing, validating and transforming raw data into a usable format

• example: removing duplicate student records and correcting mispelled names in a database

Data Storage

• process of saving data securely so it can be accessed and used later

• example: student records are stored in a school’s database or cloud storage

Data Management

• process of maintaining, organizing, protecting, and controlling access to data to ensure is quality and security

• example: administrator updates student information and restricts access to authorized personnel only

Data Analysis

• the process of examining data to identify patterns, trends, relationships or insights to support decision-making

• example: a teacher analyzes students’ test scores to identify topics where most students need improvement

Data Visualization

• process of presenting data using charts, graphs, dashboards or other visual forms to make information easier to understand

• example: creating a bar chart showing students’ average grades in different subjects

Data Interpretation

• process of explaining the meaning of analyzed and visualized data to draw conclusions and make informed decisions

• example: based on the analysis, the teacher concludes that student needs additional lessons on algebra beacuse it has the lowest average score