Info-Tech: Tool-First Data Governance Creates Activity Without Impact
Expanding AI initiatives are increasing pressure on organizations to provide trustworthy data. Info-Tech Research Group's research indicates many governance programs are fragmented and focused on management mechanisms.
Organizations face increasing pressure to ensure trustworthy data as artificial intelligence initiatives expand. However, many data governance programs remain fragmented and prioritize management mechanisms over tangible impact, according to Info-Tech Research Group.
The research body's 'Activate Data Governance' blueprint offers data and IT leaders a four-phase approach. This framework aims to help organizations establish activities that yield concrete results, rather than focusing solely on process maintenance.
The study emphasizes that the mere implementation of tools is insufficient. Data governance must align strategically with business objectives and enable effective data utilization. Companies also need to invest in improving data quality and ensuring its accessibility.
Info-Tech suggests that effective data governance can assist organizations in mitigating risks, enhancing decision-making, and fostering innovation. The key is to shift from mere oversight to actively supporting data usage and maximizing its value.