SAP ECC to SAP S/4HANA Migration: Architectural Decision Framework for the Japan Ministry of Economy, Trade and Industry (METI)
Executive Summary (TL;DR) ERP migration programs fail less from software defects and more from unresolved data entropy, process misalignment, and custom code inertia. Historical data scope directly drives infrastructure cost, testing complexity, reconciliation risk, and cutover duration. Selective data transition and structured archiving change the economics and risk profile more than most technical optimizations. Business […]
Data Lake Architecture in the Federal Trade Commission: Preventing a High-Cost Data Swamp Through Governance, Metadata, and Lifecycle Controls
Executive Summary (TL;DR) A data lake fails when ingestion is easier than deletion, classification, and audit evidence production. Cost overruns usually come from unpriced query patterns, uncontrolled copies, and metadata debt that forces rework. Trust collapses when ownership of data correctness is undefined and validation is not enforced at ingestion. Governance is a control plane […]
Architectural Constraints and Failure Modes in AI-Driven Drug Discovery Programs
Executive Summary (TL;DR) AI-driven drug discovery failures are rarely algorithmic first. Data validity, measurement bias, and biological misalignment break earlier. Binding affinity predictions do not equate to therapeutic effect. Misinterpreting this distinction propagates costly false positives. Model interpretability constraints directly affect regulatory defensibility, reproducibility, and cross-team adoption. Infrastructure complexity emerges from data heterogeneity, not scale […]
Data Retention as Financial Liability: Architectural Risk, Cost Mechanics, and Defensible Deletion Strategy
Executive Summary (TL;DR) Retained data expands legal exposure, breach impact, and regulatory scope independent of storage cost. Excess retention distorts litigation economics by inflating review sets and discovery timelines. Unknown and unmanaged data creates asymmetric risk because governance controls cannot be applied reliably. Defensible deletion functions as a direct liability reduction mechanism when policy-driven and […]
E-Business Suite Modernization in Regulated Agencies: How “e biz” Fails When Evidence, Controls, and Data Gravity Collide
Executive Summary (TL;DR) E-Business Suite modernization fails more often on evidence continuity than on application code migration, because audit trails, approval context, and data lineage are distributed across interfaces, clones, and operational workarounds. The first thing that breaks is usually the control plane: identity-to-privilege mappings, responsibility models, and separation-of-duties assumptions drift faster than the system […]
GDPR-Compliant Data Archiving Solution Architecture: Decision Questions, Control Mechanics, and Failure Modes
Executive Summary (TL;DR) A GDPR-compliant data archiving solution is an evidence system, not a storage system: it must prove lawful basis, enforce retention, and produce audit-grade traces for deletion, access, and policy changes. DSAR performance is an indexing problem with governance constraints: if identity resolution and content-addressable search are weak, DSAR timelines fail under surge […]