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Expert Insights for Your 2025 Data, Analytics, and AI Initiatives

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A long-term approach to your data strategy is key to success as business environments and technologies continue to evolve. The rapid pace of technological change has made data-driven initiatives more crucial than ever within modern business strategies. However, they require a strong data foundation to be effective.

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Must-Know Data Integrity Trends for 2025

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New year, new data-driven opportunities to unlock. In 2025, its more important than ever to make data-driven decisions, cut costs, and improve efficiency especially in the face of major challenges due to higher manufacturing costs, disruptive new technologies like artificial intelligence (AI), and tougher global competition.

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2025 Planning Insights: Data Governance Adoption Has Risen Dramatically

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Data governance is a top data integrity challenge, cited by 54% of organizations second only to data quality (56%). The 2025 Outlook: Data Integrity Trends and Insights report is here! What are the latest data integrity trends you need to know about? How does your data program compare to your peers?

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Expert Insights for Your 2025 Data, Analytics, and AI Initiatives

Precisely

A long-term approach to your data strategy is key to success as business environments and technologies continue to evolve. The rapid pace of technological change has made data-driven initiatives more crucial than ever within modern business strategies. However, they require a strong data foundation to be effective.

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Key Data Integrity Trends and Insights for Your 2025 Strategy

Precisely

This means it’s more important than ever to make data-driven decisions, cut costs, and improve efficiency. Get your copy of the full report for all the strategic insights you need to build a winning data strategy in 2025. What are the primary data challenges blocking the path to AI success?

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2025 Planning Insights: The Rise of AI is Hampered by a Lack of Data Readiness

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Key Takeaways: Only 12% of organizations report their data is of sufficient quality and accessibility for AI. Data analysis (57%) is the top-cited reason organizations are considering the use of AI. The top data challenge inhibiting the progress of AI initiatives is data governance (62%).

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Must-Have SQL Skills in the Data Ecosystem for 2025

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They should also be proficient in joining views with tables or other views to construct comprehensive result sets, streamlining data access. Lastly, understanding security considerations pertaining to views, including permissions and access control, is critical for controlling data access through view-based mechanisms.

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