Whitepaper One Data

One Data Insights:9 Data Management Trends for 2026

The Future of Data Management – 9 Trends That Will Define Your Strategy in 2026

What you will findin this trends insight:

As we move through 2026, the data landscape stands at a critical crossroads. This whitepaper cuts through the AI hype to highlight what truly matters: 9 actionable trends shaping successful data strategies in 2026 (plus one bonus trend) Drawing on Gartner research, McKinsey insights, and real-world implementations, it provides data leaders with a practical roadmap to turn data fundamentals into competitive advantages. Whether you’re navigating legacy migrations, adopting AI, or scaling data products, this whitepaper shows where to invest your efforts for maximum impact.

Download the insights paper now and learn about the trends for 2026 →

What you will learn:

  • Why AI-ready data – not AI itself – is your competitive edge, and how to use legacy migrations to strengthen your data foundation
  • How converged data management platforms cut tool sprawl, lower hidden costs, and speed time to market
  • How to enable self-service data access without chaos, using AI assistants, guardrails, and data literacy programs
  • Why ethical AI and strong governance build trust through explainable AI, bias detection, and transparency
  • How hybrid data models balance agility and control, combining domain ownership with enterprise standards
  • Practical frameworks for real-time data, multi-cloud strategies, and agentic AI that deliver measurable business results

Download our exclusive insights paper:"The Future of Data Management – 9 Trends That Will Define Your Strategy in 2026"

Cut through the AI hype and discover the 9 data management trends that will drive measurable value in 2026 – from AI-ready data foundations to ethical governance and hybrid data models.
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More Information

With One Data, organizations establish the governance, transparency, and continuous optimization needed to permanently contain entropy. Our Data Product Space provides the structured framework to turn chaotic data landscapes into continuously optimized, value-driven assets.

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