2023-12-22-Salesforce-2023年数据和分析报告_29页_4mb

报告摘要

Salesforce State of Data and Analytics Report Summary

Report Overview:
This report, based on surveys of over 10,000 analytics, IT, and business leaders worldwide, examines data management, decision-making, and the role of AI in business. It highlights the urgent need for trusted data to fuel AI advancements and overcome challenges.

Key Findings:

Importance of Trusted Data: AI's effectiveness relies on high-quality data, with 92% of analytics leaders prioritizing data management due to AI advancements. Safe data is deemed more critical than ever.
Challenges: Security threats (94% of business leaders see them as top barriers), data quality issues, overwhelming data volumes, and misalignment between data strategy and business goals are major roadblocks.
AI Adoption: Generative AI is accelerating demand for trusted data; 91% of business leaders see its benefits for content creation and other areas, but only 37% feel their organizations are leveraging it well.
Data Maturity: High-data-maturity organizations (self-assessed best-in-class) are twice as likely to have the data needed for AI, with key metrics like quality and security improving significantly.
Opportunities: Addressing data harmonization, investing in cloud solutions for scalability, and fostering a data-driven culture can unlock AI's full potential. Data governance and democratized access are crucial for innovation.
Future Trends: Data volumes are expected to grow 22% on average, and AI capabilities are key considerations for technical leaders. Platforms for easier deployment and AI integration are in demand.

Challenges and Recommendations:

Security and Quality: Focus on enhancing data security and improving accuracy to build trust.
Volume and Governance: Overcome data gravity by using cloud and hybrid solutions, and implement robust data governance.
Cultural Shift: Cultivate a strong data culture through training and tools to boost adoption across business units.
AI Integration: Leverage AI for faster decision-making and operational efficiencies, ensuring data foundations are solid.

Overall, the report underscores that while business leaders recognize data's value, unlocking it requires strategic investments in technology, governance, and talent.

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