2023年数据和分析报告（英）-29页_4mb

报告摘要

Salesforce State of Data and Analytics Report Summary

Executive Summary

AI and generative AI are transformative, but trustworthy data is the foundation for leveraging their potential.
92% of analytics and IT leaders agree trustworthy data is needed more than ever for AI.

Key Insights

There's a strong correlation between data maturity and effective AI use. Roughly one-third (36%) of analytics and IT leaders rated their data maturity as 'best-in-class'.
Security threats (77%) and lack of data alignment with business goals (63%) are major barriers.
Data quality and speed to insight were top concerns for 47% and 40% of analytics/IT leaders, respectively.
A multi-pronged approach (avg. 3.2 tactics) is used to manage growing data volumes (data gravity).
A shift toward cloud solutions is evident, driven by IT simplification (62%) and enhanced security (58%).
Strong support (96%) exists among business leaders for data and analytics improving decision-making.

Leadership Quotes

"How do we go about it? What is a short-term strategy? What is a long-term strategy?" - Deep Srivastav, Franklin Templeton.
"Above all, data must be accurate, complete, and unified." - Wendy Batchelder, Salesforce SVP CDO.

Concluding Note

The report highlights the clear need for greater alignment between data strategy and business goals, stronger data governance practices, and continued investment in data infrastructure to unlock the full potential of AI and drive business value. Trust in data is paramount.

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