Information Technology Governance Data Management In the digital era, data is the new oil. Therefore, BRI continues to improve its capabilities in Big Data and AI. In this regard, BRI has carried out several initiatives to achieve an Excel Data-driven Organization, including implementing Master Data Management to strengthen BRI’s capability in managing Big Data as part of the BRI Group. In addition, BRI also continues to strengthen the use of data by continuing to build Intelligent Data Analysis for Business Development by utilizing Big Data and AI technology. Full support for data-driven organization at BRI is carried out by realizing BRI which can have accurate and trusted analytics data capabilities, and can be a basis for strategic and business decision making. The increase in data capabilities must have a strong foundation of a reliable data platform. One of the data platforms that BRI has is the Big Data Platform, Enterprise Data Warehouse and Master Data Management used in data management. Full support for Data-driven Organizations at BRI is carried out by realizing that BRI can have accurate and reliable data analytics capabilities, and can become the basis for strategic and business decision making. The increase in data capability must have a strong foundation, namely a reliable Data Platform. One of the Data Platforms that BRI has is Big Data Platform, Enterprise Data Warehouse and Master Data Management used in data management. Support for data modeling or other data analytics for BRI’s frontend or business applications is fulfilled with services owned by the Data Hub, which can provide product recommendations on a cross-selling basis and through BRI customer data profiling. Of course, this cannot be separated from the Data Governance and Management side, which is the pillar of the formation of a Datadriven Organization. Utilization of Master Data Management to conduct merging customer data activities produces Golden Data CIF (Customer Information File) as a single source of truth for valid customer data at BRI. Data Quality Criteria, Data Classification, Personal Data Protection also play an important role in improving Data Quality and Security at BRI. Increasing data security goes hand in hand with increasing BRI customer loyalty, and increasing investor interest in investing in BRI. The Data Management Book of Knowledge (DAMA-DMBOK) is BRI’s reference for continuing to improve and perfect data governance to support the achievement of the Best-in-Class Data & Analytics initiative. There are 11 knowledge areas that form the basis of data management policies at BRI. The 11 knowledge areas include: Data Governance Data Modeling & Design Data Storage & Operations Document & Content Management Data Warehoushing & Business Intellingence Metadata Data Quality Data Architecture Data Security Data Integration & Interoperability Reference & Master Data PT Bank Rakyat Indonesia (Persero) Tbk. 2023 Annual Report 431 Business Support Functions Overview
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