Federal law enforcement and homeland security agencies are surrounded by data — but too often, they’re still searching for impact.
At Xpect Solutions, we work alongside agencies navigating the tension between growing data volumes, strict governance requirements, and finite resources. The challenge isn’t whether data matters. It’s how to make it matter — consistently, securely, and in ways that directly improve mission outcomes.
To explore what separates successful data modernization efforts from stalled ones, Xpect’s COO Amaha Tsegaye sat down with Chris Stoner, Xpect’s VP of Technical Solutions. Drawing on operational experience and hands-on work with federal partners, Chris shares a practical perspective on what works, what doesn’t, and how agencies can move from data accumulation to decision advantage.
Amaha Tsegaye: Chris, everyone says data is critical to mission success. Why do agencies still struggle to turn data into impact?
Chris Stoner: It’s not a technology problem. Agencies have tools. They have platforms. They have data everywhere.
The issue is that data initiatives often start with systems instead of decisions. If you don’t define what decisions need to improve — operational, investigative, risk-based — you end up modernizing infrastructure without moving the mission.
Data should inform action. When it doesn’t, it becomes overhead.
Amaha: So where should leaders start?
Chris: With a simple but uncomfortable question: What problem are we actually trying to solve?
Not “How do we build a data lake?”
Not “Which AI tool should we buy?”
But:
When leaders anchor strategy to outcomes, everything changes. Investments get clearer. Priorities sharpen. Adoption increases.
Amaha: We see agencies investing heavily in architecture. Why doesn’t that always translate into value?
Chris: Because architecture without governance and trust doesn’t scale.
Data has a lifecycle — ingestion, categorizing, storing, processing, analysis, visualizing, and sharing. If quality, lineage, and access aren’t standardized, users stop trusting outputs. And once trust erodes, even the best analytics sit unused.
The goal isn’t just integration. It’s confidence at speed.
Amaha: You’ve talked about building sustainable capability instead of one-off solutions. What does that look like in practice?
Chris: The agencies that succeed treat data as an operating model, not a project.
That often means creating a center of gravity — a data analytics capability that:
When done right, analysts aren’t hunting for data. Operators aren’t waiting on reports. Leadership isn’t guessing.
The organization becomes decision-enabled.
Amaha: What does success actually look like? Is it dashboards? AI pilots?
Chris: Success isn’t the number of dashboards deployed.
It shows up in:
When data becomes part of how the mission runs every day — that’s impact.
Amaha: Final thought — if you had one piece of advice for federal leaders thinking about data modernization?
Chris: Don’t boil the ocean.
Start with one high-value decision. Prove it works. Scale deliberately.
Data becomes powerful when it’s aligned to mission, governed intentionally, and executed with discipline. That’s when it stops being a compliance exercise and starts becoming a force multiplier.