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"The Data Stack Evolution: Legacy Challenges and AI Opportunities"

As data becomes critical to business innovation, many organizations struggle with legacy data stacks, siloed teams, and inflexible budgets. This white paper explores data stack evolution, challenges, and AI opportunities. Discover insights to improve data quality, team structure, and technology investments. Learn how to modernize your data stack.

As businesses increasingly rely on data-driven systems, data quality and availability are crucial. However, research shows most companies use legacy data technologies, facing data debt and siloed teams.

Key insights:

• Only 10% have a modern data stack
• 48% keep data within the generating department, not sharing it
• 56% of data teams say budgets aren't reviewed or adjusted yearly

A balanced approach is needed, focusing on technology and people. Companies must prepare data for AI, upskill employees, and align data ownership. The white paper predicts less spreadsheet use as data science and AI platforms grow.

For more on data stack evolution, challenges, and opportunities, read the full white paper.

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