The Company has applied the Data Governance Procedure and Standard to develop the Data Platform by gathering technologies with different functions and usage, ranging from the technology of collecting corporate data sets (Data Ingestion & Collection), storing big data (Big Data Storage), managing data (Data Management), preparing data for analysis (Data Preparation), as well as the technology used for analyzing data and displaying results (Data Analytics & Visualization), which are used as important tools to continuously drive the digital organization.

The Company is aware of the importance of continuous quality control and monitoring of data products, which are ready for use and reusability, to reduce development costs and avoid duplicate management costs. Therefore, it has determined a method of working on data quality control (Data Quality), data management in accordance with the Company’s laws or regulations, and data security protection (Data Security).

1. Data Governance is defined as a step in the digital investment life cycle process.
2. Data Governance Officer (DGO) controls and monitors data quality, working with data experts in each product (Business data steward), and checks the use of data products for all. Digital use cases must not violate the company’s regulations and the Personal Data Protection Act B.E. 2562 (PDPA).
3. Set a Data Quality Index together with the data owner, covering Material, Vendor, Customer, Equipment, Plant Maintenance, Ready Made Asset, and Lab Operation data. By 2566, such data products must have a quality index of no less than 95%.
4. Data Engineers control and verify the methods for collecting and storing large-scale data (Data Ingestion & Collection), strategies for using data between work systems (Data Interoperation), and set data integration standards (Data Integration Standard) for digital use-cases.
5. Provide continuous communication and knowledge to employees at all levels of the organization to enhance their understanding of data management and the correct and safe use of data products in line with the objectives of the Digital Use-cases project and data scientists.
6. Encourage employees to use the Data Catalog tool to search for Easily access the source, and know the type or format of the data before requesting to use the data product.