Accelerator 03 — DMTSP

Integration Standards Library

Production-ready standards accelerator covering API governance, metadata lineage, naming conventions, data classification, integration patterns, and data quality — engagement teams deploy pre-built modules to reduce Phase 4 effort by 30–57% per engagement

6
Standards Modules
~300
Accelerated Hrs
200–400
Hours Saved
30–57%
Reduction

What Was Designed

Three foundational delivery artifacts that accelerate every engagement from kickoff through packaging

Strategic Roadmap

Reusable engagement deployment roadmap covering prerequisites, scope, risk register, and success criteria — adaptable to any client's standards maturity

8 risks mitigated

Engagement Execution Backlog

Engagement execution backlog with 5 epics, 10 stories, task-level accelerated hours, and dependency graph — ready to deploy at any engagement's Phase 4 kickoff

12 stories

Engagement Orchestrator

Engagement phase-by-phase execution plan with role assignments, entry/exit criteria, milestones, and escalation paths across 5 deployment phases

24 milestones

Accelerated Engagement Delivery

From setup & assessment to validation & handoff — 8-week accelerated Phase 4 delivery vs. 12-16 week baseline

Phase 0

Setup & Assessment

Deploy ISL, run maturity assessment, select modules, lock scope

~40 hrs (saves 20-40)

Phase 1

Foundation Deployment

Adapt ISL-03 naming & ISL-04 classification to client

~60 hrs (saves 30-90)

Phase 2

Core Deployment

Adapt ISL-01 API governance & ISL-06 data quality to client

~70 hrs (saves 60-130)

Phase 3

Advanced Deployment

Adapt ISL-02 metadata & ISL-05 integration patterns to client

~90 hrs (saves 70-150)

Phase 4

Validation & Handoff

Cross-module review, compliance audit, client sign-off, handoff

~40 hrs (saves 20-40)

Use Cases

Six core scenarios the reusable Standards Library addresses at every engagement, each with measurable acceptance criteria

Use Case 1

Enterprise API Governance

End-to-end API governance framework covering design standards, versioning policies, security requirements, rate limiting, and lifecycle management for any technology stack.

Acceptance: Complete governance package; aligned to OWASP API Top 10; 55–70% effort reduction
Use Case 2

Metadata & Lineage Framework

Comprehensive metadata management covering business glossary, technical metadata schemas, data lineage capture, and catalog governance aligned to Microsoft Purview.

Acceptance: Column-level lineage defined; Purview-aligned schemas; 60–75% effort reduction
Use Case 3

Naming Convention Standards

Enterprise-wide naming conventions for databases, schemas, tables, columns, pipelines, and reports — with Fabric-specific prefixes (lh_, wh_, pl_, nb_, sm_).

Acceptance: 100% Fabric object types covered; automated validation rules included
Use Case 4

Data Classification & Security

Four-tier classification model (Public, Internal, Confidential, Restricted) with manufacturing overlays for ITAR/EAR, trade secrets, and IoT/OT telemetry.

Acceptance: Classification taxonomy applied; ITAR/EAR compliance verified; DLP policy templates
Use Case 5

Integration Pattern Library

Eight reusable integration patterns covering ERP sync, IoT streaming, API gateway, event-driven, MDM hub, file-based, medallion architecture, and reverse ETL.

Acceptance: 8 patterns documented with decision framework; architecture diagrams included
Use Case 6

Data Quality Framework

Pre-built quality rules covering schema validation, row-level checks, aggregate monitoring, and business rule validation — with 50+ configurable quality rules.

Acceptance: 50+ rules cataloged; quality scorecard template; monitoring dashboard spec

Team Personas

The engagement team deploying pre-built standards modules from assessment through client handoff

Rachel Torres

Rachel Torres

Standards Architect

Architecture ownership, standards framework design, cross-module consistency, and manufacturing overlay definition

Phases 0–4
Nathan Park

Nathan Park

Sr Integration Engineer

API governance adaptation, integration pattern deployment, technology stack alignment, and Fabric-specific configuration

Phases 1–3
Aisha Khan

Aisha Khan

Data Governance Lead

Metadata framework design, classification taxonomy adaptation, naming convention deployment, and Purview alignment

Phases 0–3
Carlos Mendez

Carlos Mendez

Data Quality Engineer

Quality rule development, validation framework design, scorecard creation, and monitoring specification

Phases 2–4
Maya Singh

Maya Singh

Technical Writer

Template formatting, example documentation, practitioner guides, client adaptation playbooks, and packaging

Phases 1–4
Keven Markham

Keven Markham

VP Enterprise Transformation

Engagement governance, phase ceremonies, stakeholder communications, risk escalation, and cross-accelerator coordination

Phases 0–4

Journey Map

How each persona contributes across every phase of the accelerated engagement delivery

Persona Phase 0: Setup Phase 1: Foundation Deploy Phase 2: Core Deploy Phase 3: Advanced Deploy Phase 4: Validate & Handoff
Rachel TorresStandards Architect Maturity assessment, Gap analysis, Framework design ISL-03/04 review, Architecture validation ISL-01/06 review, Cross-module consistency ISL-02/05 review, Pattern validation
HANDOFF		 Manufacturing overlay review
Nathan ParkSr Integration Engineer — Naming convention input API governance adaptation, Quality rule support Integration patterns, Metadata lineage
HANDOFF		 Available for escalation
Aisha KhanData Governance Lead Assessment templates, Classification research Naming conventions, Data classification
HANDOFF		 Classification refinement Metadata framework, Lineage requirements Available for escalation
Carlos MendezData Quality Engineer — — Quality rules, Validation framework, Scorecard Quality integration into patterns Peer review, Quality pilot
GATE
Maya SinghTechnical Writer — Template formatting, Example docs Template formatting, Practitioner guides Template formatting, Architecture diagrams Final packaging, Adaptation playbooks
SIGN-OFF
Keven MarkhamVP Enterprise Transformation Sprint ceremonies, Risk register, Stakeholder kick-off Status reporting, Dependency tracking Progress tracking, Velocity monitoring Cross-accelerator coord., Milestone reporting Final sign-off, Lessons learned
SIGN-OFF
Primary Role Supporting Not Involved HANDOFF Key Transition

Acceptance Criteria

Standardized quantitative and qualitative targets applied at every engagement to define success

Quantitative

Module completeness — all 6 modules delivered with templates

Target: 100% of 39 templates

Per-engagement effort reduction — Phase 4 hours saved

Target: 150–200 hours (30–40%)

Template adaptation time — hours to customize per module

Target: Under 8 hours per module

Cross-phase impact — additional hours saved in Phases 1–3

Target: 60–100 hours

Delivery efficiency — accelerated engagement hours within ~300 hr budget

Target: Within 10% of ~300 hours

Qualitative

Manufacturing overlay coverage — ITAR/EAR, IoT/OT, ERP patterns

Target: 3+ industry overlays

Practitioner adoption — templates used without modification

Target: 70%+ direct reuse rate

Cross-engagement consistency — standards alignment across clients

Target: 90%+ consistency score

Client satisfaction — standards quality rating

Target: 4.5+ out of 5.0