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Data as a Strategic Asset

The U.S. Army is transforming into a data-centric organization by building enterprise data governance, creating federated leadership roles, and using frameworks such as ADMAS and DDOF to turn siloed data into trusted, decision-ready products.

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FEATURE ARTICLES

  • From Data to Water

    Reliable water access is not just a development issue. It is also a resilience issue that should be a fundamental human right. Being able to access dependable water resources lies at the heart of disaster preparedness, health, agriculture, and community stability. Many countries still lack this essential resilience against disasters big and small.

  • Data as a Strategic Asset

    The U.S. Army is transforming into a data-centric organization by building enterprise data governance, creating federated leadership roles, and using frameworks such as ADMAS and DDOF to turn siloed data into trusted, decision-ready products.

  • What Smarter Scheduling Can Deliver

    A data-driven scheduling model shows how the 2026 FIFA World Cup group stage could reduce team travel by about 50% and cut time-zone crossings by 83% while preserving tournament structure.

  • The Insight Loop: A Leadership Framework for Building AI & Analytics Maturity

    Only 10% of executives report achieving significant financial benefit from their AI and analytics initiatives, according to a study in MIT Sloan Management Review. Another MIT report focused on GenAI reported that, as of 2025, up to 95% of GenAI pilot projects have failed to scale to enterprise-level impact. The problem isn’t the quality of AI tools themselves – it’s the lack of organizational learning.

What's Your StORy?

Les Servi

How would you describe an INFORMS meeting to someone who's never attended one?

Overwhelming. There's a lot of things happening; it's important to be prepared. It's important to have reasonable expectations. I think a good expectation is to leave the meeting with a few meaningful conversations, a few nuggets – something that's valuable. Also, to both deepen your knowledge as well as broaden your knowledge.

For more from Les, click here.

MOST READ

  • The Next Frontier in Decision Intelligence

    OR/MS has always been about making better decisions. Data independence extends that mission. It asks us to look beyond algorithms and models and examine the foundation on which they are built. It challenges us to treat data not just as a resource, but as a governed asset with defined ownership and value.  

  • ‘ORION’ delivers success for UPS

    UPS was faced with what amounted to the Mother of all Traveling Salesman Problems in its Small Package Operations: how to optimally deploy 55,000 drivers based across the United States, each of whom makes on average more than a hundred deliveries a day. To make the problem even more interesting, UPS added a largely safety-driven constraint: minimize the number of left-hand turns on each driver’s route.

  • Operations Research at UPS

    Employing 543,000 people globally, UPS currently operates in more than 220 countries and territories. Boasting an annual revenue of $84.6 billion in 2020, UPS delivered about 6.3 billion packages and documents. Its global network operates more than 127,000 vehicles serving some 1,800 operations facilities and 576 aircraft that cover 1,944 flight segments operating out of 795 airports.

  • The Insight Loop: A Leadership Framework for Building AI & Analytics Maturity

    Only 10% of executives report achieving significant financial benefit from their AI and analytics initiatives, according to a study in MIT Sloan Management Review. Another MIT report focused on GenAI reported that, as of 2025, up to 95% of GenAI pilot projects have failed to scale to enterprise-level impact. The problem isn’t the quality of AI tools themselves – it’s the lack of organizational learning.