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Case USA84: How a National Law Enforcement Program Substituted Crime Analytics for Enterprise Architecture Reform

Overview:

This case is part of a 100-diagnostic series revealing how US law enforcement agencies have mislabeled data analysis projects as “Enterprise Architecture progress.”


A recurring pattern is treating crime analytics dashboards as evidence of enterprise reform.


Hotspot maps became more accurate, crime trend reports were faster, and resource allocation decisions appeared more data-driven — yet the enterprise structure linking investigative workflows, inter-agency coordination, judicial processes, and community programs was never modeled.



P1–P6 Insight Preview:

These six perspectives define how an enterprise connects intent to execution

— P1: Strategy, P2: Business Processes, P3: System Behaviors, P4: Component Governance, P5: Implementation, P6: Business & Technology Operations.


P1 (Strategy): Analytics were tied to “intelligence-led policing” goals but not linked to enterprise-wide strategies for reducing crime or improving clearance rates.


P2 (Process): Data gathering and reporting workflows were refined, but integration with investigative, prosecutorial, and community prevention processes was missing.


P3 (System): Analytics platforms weren’t behaviorally integrated with case management, evidence handling, or court systems.


P4 (Component): Mapping software, crime databases, and reporting tools operated under separate governance.


P5 (Implementation): Rollouts prioritized dashboard usability without embedding analytics into core operational decision-making.


P6 (Operations): Business ops used insights to shift resources, but tech ops had to manually reconcile data sources and maintain disparate systems.



Stakeholder Impact Summary:

  1. CEO/National Program Director – accountable for public safety outcomes: Limited by weak P1 Strategy  — better analytics don’t guarantee reduced crime or improved case closure rates.


  2. CIO – manages law enforcement systems and data infrastructure: Impacted by P3 System Behaviors and P4 Component Governance  — critical systems are not interoperable, creating inefficiency and errors.

  3. Sales Head (Community & Stakeholder Relations) – engages with local agencies and civic leaders: Affected by P2 Processes and P5 Implementation  — can present data-driven insights but can’t ensure operational change follows.

  4. Chief Enterprise Architect – aligns systems, processes, and strategic objectives: Confronts P1–P6 issues — analytics exist, but the enterprise isn’t structured to act on them consistently.

  5. Head of Investigations – oversees case work and evidence flow: Feels P2, P3, & P6  — must manually connect insights to investigative actions across jurisdictions.

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