Salesforce, Inc. said on the 25th that it released the "State of Data & Analytics," a report on data and analytics, based on about 8,000 major corporations worldwide, including 500 in Korea.
The survey analyzed the status of data and analytics management and use for the transition to autonomous corporations where humans and artificial intelligence (AI) agents collaborate.
According to the report, about 60% of domestic corporations assessed themselves as data-driven organizations, up 28 percentage points from 2023. In addition, 75% responded that pressure to create business value using data has increased. As key tasks, they cited securing real-time data accessibility, strengthening enterprise-wide data literacy, and AI capabilities.
However, there was a gap between awareness of the importance of data and actual value creation. Among leading domestic corporations in the data and analytics institutional sector, 84% said a solid data foundation is key to AI success, but 61% of them noted they face difficulties in consolidation of data with actual top business priorities.
Fragmented data architecture was identified as a major factor hindering value creation. Leading domestic corporations estimated that 15% of all data is trapped in silos or is inaccessible and unusable, and 66% responded that the most valuable insights are contained in this 15% of data. About 80% said fragmented data leads to degraded AI capabilities, poor customer understanding, limits to personalization, and revenue loss.
To address this, global chief information officers (CIOs) are allocating four times more budget to data infrastructure and management than to AI technology itself. Fifty-six percent of domestic corporations also said they have adopted a zero-copy data integration strategy that consolidates data without physically copying it.
The need to revamp security and governance frameworks was also raised. While only 43% of executives at global corporations have established official data governance policies, 86% of leading domestic corporations responded that new governance and security approaches are needed for AI adoption. In addition, 80% said a comprehensive overhaul of data strategy is needed for AI strategy success.
Salesforce, Inc. supports the building of an integrated data ecosystem through its Data Foundation, which spans Data 360, Informatica, and MuleSoft. Data 360 integrates data in real time based on zero-copy technology, Informatica handles data context understanding and master data management (MDM), and MuleSoft is responsible for system integration and multi-agent orchestration.
It also supports natural language Q&A and personalized insight delivery through Tableau Next of the agentic data analytics platform Tableau.
Park Se-jin, head of Salesforce, Inc. Korea, said, "In the AI era, data is a core asset directly tied to the survival of corporations," adding, "We will help domestic corporations integrate scattered data and build a trustworthy data foundation so they can transition to an agentic enterprise that collaborates with AI agents."