00 Data processing

• Data processing
• stages of data processing

Data processing

1. Process of performing specific operations on a set of data or a database.
2. A database is an organized collection of facts and information, such as records on employees, inventory, customers, and potential customers.
3. collecting raw data and translating it into usable information.
4. The raw data is collected, filtered, sorted, processed, analyzed, stored, and then presented in a readable format.
5. The data processing is carried out automatically or manually.
6. automatic : using computers - faster and accurate results
7. data can be converted into different forms. graphic, audio etc
8. It depends on the software used as well as data processing methods.
9. Data processing is crucial for organizations to create better business strategies and increase their competitive edge.
10. By converting the data into a readable format like graphs, charts, and documents, employees throughout the organization can understand and use the data

stages of data processing

1. Data Collection

1. first step of the processing cycle.
2. The raw data collected has a huge impact on the output produced.
3. Raw data should be gathered from defined and accurate sources so that the subsequent findings are valid and usable.
4. Raw data : monetary figures, website cookies, profit/loss statements of a company, user behavior, etc.

2. Data Preparation

1. sorting and filtering the raw data to remove unnecessary and inaccurate data.
2. Raw data is checked for errors, duplication, miscalculations, or missing data and transformed into a suitable form for further analysis and processing.
3. This ensures that only the highest quality data is fed into the processing unit.

3. Data Input

1. raw data is converted into machine-readable form and fed into the processing unit.
2. Form of data entry through a keyboard, scanner, or any other input source.

4. Data Processing

1. data is subjected to various data processing methods using machine learning and artificial intelligence algorithms to generate the desired output.
2. This step may vary slightly from process to process depending on the source of data being processed (data lakes, online databases, connected devices, etc.) and the intended use of the output.

5. Data Interpretation or Output

1. The data is finally transmitted and displayed to the user in a readable form like graphs, tables, vector files, audio, video, documents, etc. - This output can be stored and further processed in the next data processing cycle.

6. Data Storage

1. The last step of the data processing cycle is storage,
2. Where data and metadata are stored for further use.
3. This allows quick access and retrieval of information whenever needed