Dataaktiva

Dataaktiva is a term used, particularly in Indonesian business and IT governance contexts, to describe an organization’s data assets—data that hold value for operations, analytics, decision making, and regulatory compliance. It is treated as a strategic resource governed and managed through data governance and data management programs to maximize usefulness while limiting risk.

Dataaktiva encompasses a range of components, including metadata, data catalogs, data lineage, data quality measures, and master or reference data. It also covers data models, data integration outputs, stored procedures, data stores, and records of data access and security controls. Effective dataaktiva management addresses the full data lifecycle from creation and storage to processing, sharing, retention, archiving, and eventual disposal, as well as the technologies and architectures that support these activities.

Management practices for dataaktiva involve defined roles and responsibilities (such as data owners, data stewards, and a data governance body), policies for privacy and security, data quality standards, and metadata management. Organizations typically implement formal processes for cataloging data, enforcing access controls, ensuring compliance with applicable laws, and establishing data retention and disposal schedules.

Benefits of strong dataaktiva management include improved data discovery and trust, faster and more accurate analytics, better regulatory compliance, and potential cost efficiencies through reduced data duplication and clearer ownership. Challenges frequently arise from data silos, inconsistent data quality, unclear ownership, complex data lineage, and balancing data accessibility with privacy and security requirements.

See also: data governance, data quality, data lineage, master data management, data cataloging. Standards and frameworks such as DAMA-DMBOK and relevant privacy regulations influence how dataaktiva is governed and utilized.