eBook
Data for the Defence Sector: Transforming Risk into Opportunity
Download the report
Embark on a journey to transform defence data into unparalleled opportunities with our comprehensive ebook, "Turning the Power of Defence’s Data Into Opportunity." Published by the UK Ministry of Defence in September 2021, this groundbreaking Data Strategy for Defence lays the foundation for a future where data becomes a strategic asset.
What You'll Discover:
Strategic Vision: Explore the clear vision outlined in the Data Strategy for Defence, revolutionizing how data is gathered, collated, and harnessed in the defence sector.
Overcoming Challenges: Dive into the challenges of operating within contractual, technical, and behavioural silos, and understand how the strategy addresses these hurdles to unlock the true potential of defence data.
Strategic Outcomes: Uncover the four strategic outcomes envisioned by the Ministry of Defence, ensuring that data is curated, integrated, and ready for exploitation, making it the second most important asset, while cultivating skilled individuals who drive advantage.
Roadmap to 2025: Get insights into the detailed plan to make data an enduring, strategic asset, with a clear roadmap for achieving significant outcomes by the year 2025.
Download Now and Empower Your Defence Data Strategy!
Related Resources
Whitepaper
Repeatable Business Value with Data Products
Struggling to extract real value from your data investments? You’re not alone. Many organizations are drowning in data—yet starving for insights.
Download
Whitepaper
Scaling a Data Product Operating Model: A Comprehensive Guide
As enterprises strive to unlock value from their data, the challenge has shifted from data access to action. Disconnected systems, siloed operations, and outdated governance models have left leaders asking: How do we build trust and deliver business-ready insights at scale?
Download
Webinar On-Demand
Redefining Data Quality: Smarter Monitoring with Alation’s Agentic AI
Poor data quality costs organizations millions in lost trust, wasted time, and bad decisions. Traditional data quality approaches are manual, slow, and often miss what matters most.
Watch now