Data Dive #32: Using Data to Improve the Federal Government, and Tackle America’s Biggest Challenges 🇺🇸
To explore how the federal government is working to improve systems, processes, and culture Datalogz recently hosted a conversation with data leaders at the forefront of federal data adoption.
Across the federal government, data is being used to solve hard problems that help to protect and defend America, while improving life for the nation’s citizens.
To explore how the federal government is working to improve systems, processes, and culture Datalogz recently hosted a conversation with data leaders at the forefront of federal data adoption. Held in New York, the latest event in Datalogz’ Future Frontiers series featured DJ Patil, the former Chief Data Scientist of the United States, Kristyn Jones, former Under Secretary of the US Air Force, and Logan Havern, Co-Founder and CEO of Datalogz.
The panel discussion offered an inside look at the federal government’s recent progress on data-driven initiatives, from solving BI Sprawl to introducing AI, to using data to solve massive challenges from healthcare to the military.
Future Frontiers: Navigating Enterprise Analytics in the AI Era
Here's a complete recording of the fireside chat we recently hosted, featuring DJ Patil, former Chief Data Scientist for the United States, alongside Kristyn Jones, US Under Secretary of the Air Force - moderated by Logan Havern, CEO of Datalogz.
Data Leader Survey | Future Frontiers
In an effort to collect data for our upcoming State of BI report, we held a live survey during our recent Future Frontiers event on November 14, 2024 with over 55 data leaders with varying titles in attendance.
Here are some data points and insights highlighting the growing challenges that data-mature organizations and their leaders face due to reporting sprawl.
We're hosting another fireside chat in early 2025 to foster dialogue among data experts on AI and data governance in sustainable transformation. Reply here to secure a spot on the guest list or if you are interested in joining future panels.
BI Environment Wrapped 2024
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Frequently Asked Questions
Common questions about this topic, answered.
How is the federal government using data to solve major challenges?
The federal government is leveraging data-driven initiatives across healthcare, military operations, and citizen services. Recent discussions featuring DJ Patil, former Chief Data Scientist of the United States, and Kristyn Jones, former Under Secretary of the US Air Force, highlight progress in areas like solving BI sprawl and introducing AI into federal systems. These efforts aim to protect national interests while improving outcomes for citizens.
What is BI sprawl and why is it a problem for government agencies?
BI sprawl refers to the unmanaged proliferation of dashboards, reports, and data sources across an organization. For federal agencies managing thousands of analytics assets, this creates governance challenges, duplicate work, and wasted resources. Platforms like Datalogz help organizations identify and manage this sprawl—the company currently governs over 720,000 BI assets across enterprise deployments.
Who was the first Chief Data Scientist of the United States?
DJ Patil served as the first Chief Data Scientist of the United States, appointed during the Obama administration. He has been instrumental in advancing federal data initiatives and recently participated in discussions about how data and AI are being used to tackle America's biggest challenges in areas like healthcare and national defense.
How are enterprise organizations preparing their analytics environments for AI adoption?
Enterprise organizations are focusing on governance, metadata management, and reducing BI sprawl before introducing AI into their analytics environments. This preparation involves auditing existing assets, identifying unused or duplicate content, and establishing data quality standards. Datalogz has identified over 1.4 million optimization issues across customer BI environments, helping organizations build the clean foundation needed for successful AI adoption.
What challenges do large organizations face when managing enterprise analytics at scale?
Large organizations struggle with dashboard proliferation, license cost management, inconsistent governance, and difficulty tracking actual usage across BI platforms. Federal agencies and enterprises alike face these challenges when managing hundreds or thousands of analytics assets across tools like Tableau, Power BI, and Qlik. Addressing these issues requires visibility into asset lifecycle, usage patterns, and content redundancy.
