Backlog Overview

Scope, priority, and effort definitions for the engagement execution backlog — teams adapt pre-built ISL modules to each client context

5
Epics (E0–E4)
10
Stories
~300
Accelerated Engagement Hrs
500–700
Baseline Hrs (Without ISL)
200–400
Hours Saved Per Engagement
30–57%
Reduction

Priority Legend

P0 Blocker P1 Critical P2 Important P3 Nice-to-have

Effort Scale (Engagement Adaptation)

XS 1–8 hrs · Single template adaptation S 9–20 hrs · Module adaptation w/ customization M 21–40 hrs · Full module deployment w/ review cycles L 41–60 hrs · Complex module w/ mfg overlays XL 61+ hrs · Multi-module cross-validation & handoff

Dependency Graph

Engagement execution order — module adaptation sequence across sprints

E0: Setup & Assessment (Phase 0) └──► E1: Foundation Deployment (Phase 1) ├── ISL-03: Naming Conventions └── ISL-04: Data Classification └──► E2: Core Deployment (Phase 2) ├── ISL-01: API Governance └── ISL-06: Data Quality └──► E3: Advanced Deployment (Phase 3) ├── ISL-02: Metadata & Lineage └── ISL-05: Integration Patterns └──► E4: Validation & Handoff (Phase 4)
Epic E0

Accelerator Setup & Assessment

Phase 0 ~40 accelerated hrs Baseline: 60–80 hrs 2 Stories
E0-S1 Environment Setup & ISL Deployment
P0 S 15 hrs
Owner
Engagement Lead
Depends On
Client SOW signed, ISL v1.0 available
Acceptance Criteria
  • ISL deployed to engagement workspace
  • Client Git access configured
  • Collaboration tools operational
  • Stakeholder-to-role mapping complete
  • Engagement folder structure created
Tasks
ID Task Hours Role
E0-S1.T1 Deploy ISL to engagement workspace 3 Engagement Lead
E0-S1.T2 Configure client Git access 3 Engagement Lead
E0-S1.T3 Set up collaboration tools (Teams, SharePoint) 2 Engagement Lead
E0-S1.T4 Map client stakeholders to delivery roles 3 Engagement Lead
E0-S1.T5 Create engagement-specific folder structure 4 Engagement Lead
E0-S2 Maturity Assessment & Module Selection
P0 S 25 hrs
Owner
Lead Architect + Sr Data Governance
Depends On
E0-S1
Acceptance Criteria
  • Governance maturity assessment scored across 6 domains
  • Client existing standards reviewed
  • Applicable ISL modules selected
  • Adaptation checklists customized
  • Acceptance criteria defined and scope locked
Tasks
ID Task Hours Role
E0-S2.T1 Run governance maturity assessment 4 Lead Architect
E0-S2.T2 Score client across 6 domains 3 Lead Architect
E0-S2.T3 Review client existing standards 4 Sr Data Gov
E0-S2.T4 Select applicable modules 3 Lead Architect
E0-S2.T5 Customize adaptation checklists 4 Lead Architect
E0-S2.T6 Define acceptance criteria 4 Lead Architect
E0-S2.T7 Lock scope 3 Lead Architect
Epic E1

Foundation Standards Deployment

Phase 1 ~60 accelerated hrs Baseline: 90–150 hrs Savings: 30–90 hrs (33–60%) 2 Stories
E1-S1 ISL-03 Naming Conventions Adaptation
P0 S 20 hrs
Owner
Sr Integration Architect
Depends On
E0 complete
Acceptance Criteria
  • Client naming patterns reviewed and gap-analyzed
  • All 7 naming domains adapted to client context
  • Abbreviation dictionary customized for client industry
  • Client review workshop completed with feedback incorporated
Tasks
ID Task Hours Role
T1 Review client existing naming patterns 2 Sr Int Arch
T2 Adapt database/schema naming to client domains 2 Sr Int Arch
T3 Adapt table/view naming to client entities 2 Sr Int Arch
T4 Adapt column naming to client standards 2 Sr Int Arch
T5 Adapt pipeline naming to client orchestration 2 Sr Int Arch
T6 Adapt API naming to client tech stack 2 Sr Int Arch
T7 Customize abbreviation dictionary 2 Sr Int Arch
T8 Client review workshop 3 Sr Int Arch
T9 Incorporate feedback 3 Sr Int Arch
E1-S2 ISL-04 Data Classification Adaptation
P0 M 35 hrs
Owner
Sr Data Governance Specialist
Depends On
E1-S1
Acceptance Criteria
  • Client regulatory drivers identified (SOX/GDPR/ITAR/HIPAA)
  • 4-tier classification model adapted to client terminology
  • Purview sensitivity labels configured
  • Access controls mapped to client Entra ID groups
  • Compliance mapping matrix complete
  • Client review and approval obtained
Tasks
ID Task Hours Role
T1 Identify client regulatory drivers (SOX/GDPR/ITAR/HIPAA) 3 Sr Data Gov
T2 Adapt 4-tier classification model to client terminology 4 Sr Data Gov
T3 Configure Purview sensitivity labels 4 Sr Data Gov
T4 Adapt handling requirements per tier 3 Sr Data Gov
T5 Map access controls to client Entra ID groups 4 Sr Data Gov
T6 Adapt compliance mapping matrix to client regulatory landscape 4 Sr Data Gov
T7 Customize classification decision tree for client data domains 3 Sr Data Gov
T8 Apply manufacturing overlays if needed 4 Sr Data Gov
T9 Client review and approval 3 Sr Data Gov
T10 Incorporate feedback 3 Sr Data Gov
Epic E2

Core Standards Deployment

Phase 2 ~70 accelerated hrs Baseline: 130–200 hrs Savings: 60–130 hrs (46–65%) 2 Stories
E2-S1 ISL-01 API Governance Adaptation
P1 M 35 hrs
Owner
Sr Integration Architect
Depends On
E1-S1 + E1-S2
Acceptance Criteria
  • Client API technology stack mapped (APIM/MuleSoft/etc.)
  • API design standards adapted to client patterns
  • OAuth 2.0/OIDC customized to client Entra ID
  • OWASP API Top 10 cross-reference validated
  • Client review and approval obtained
Tasks
ID Task Hours Role
T1 Map client API technology stack (APIM/MuleSoft/etc.) 4 Sr Int Arch
T2 Adapt API design standards to client patterns 6 Sr Int Arch
T3 Configure versioning policy for client lifecycle 3 Sr Int Arch
T4 Customize OAuth 2.0/OIDC to client Entra ID 5 Sr Int Arch
T5 Adapt rate limiting to client SLA tiers 3 Sr Int Arch
T6 Validate OWASP API Top 10 cross-reference 6 Sr Int Arch
T7 Client review and approval 8 Sr Int Arch
E2-S2 ISL-06 Data Quality Adaptation
P1 M 30 hrs
Owner
Sr Data Governance Specialist
Depends On
E1-S1 + E1-S2
Acceptance Criteria
  • Client data quality maturity assessed
  • Quality dimensions adapted to client priorities
  • SLA thresholds configured per classification tier
  • Quality rules selected and customized from 50+ library
  • Remediation workflow configured
  • Client review and approval obtained
Tasks
ID Task Hours Role
T1 Assess client data quality maturity 3 Sr Data Gov
T2 Adapt quality dimensions to client priorities 4 Sr Data Gov
T3 Configure SLA thresholds per classification tier 4 Sr Data Gov
T4 Select and customize quality rules from 50+ library 6 Sr Data Gov
T5 Adapt monitoring standards to client tooling 4 Sr Data Gov
T6 Configure remediation workflow 3 Sr Data Gov
T7 Client review and approval 6 Sr Data Gov
Epic E3

Advanced Standards Deployment

Phase 3 ~90 accelerated hrs Baseline: 160–240 hrs Savings: 70–150 hrs (44–63%) 2 Stories
E3-S1 ISL-02 Metadata & Lineage Adaptation
P1 L 50 hrs
Owner
Sr Data Governance Specialist
Depends On
E1-S1 + E1-S2 + E2-S2
Acceptance Criteria
  • Client metadata landscape inventoried
  • Business glossary adapted to client domains
  • Technical metadata schema configured for client Purview/catalog
  • Lineage requirements defined for client pipeline architecture
  • Manufacturing overlays applied (IoT/ERP/PLM if applicable)
  • Client review and approval obtained
Tasks
ID Task Hours Role
T1 Inventory client metadata landscape 5 Sr Data Gov
T2 Adapt business glossary to client domains 6 Sr Data Gov
T3 Configure technical metadata schema for client Purview/catalog 8 Sr Data Gov
T4 Define lineage requirements for client pipeline architecture 6 Sr Data Gov
T5 Adapt catalog governance to client tooling 5 Sr Data Gov
T6 Configure metadata integration patterns 6 Sr Int Arch
T7 Apply manufacturing overlays (IoT/ERP/PLM if applicable) 6 Sr Data Gov
T8 Client review and approval 8 Sr Data Gov
E3-S2 ISL-05 Integration Patterns Selection
P1 L 40 hrs
Owner
Sr Integration Architect
Depends On
E2-S1 + E1-S1 + E2-S2
Acceptance Criteria
  • Client integration landscape mapped (sources, targets, flows)
  • Applicable patterns selected from 8-pattern library
  • ERP patterns adapted to client SAP/Epicor config
  • Medallion architecture configured for client Fabric environment
  • Pattern decision documentation built
  • Client review and approval obtained
Tasks
ID Task Hours Role
T1 Map client integration landscape (sources, targets, flows) 6 Sr Int Arch
T2 Select applicable patterns from 8-pattern library 4 Sr Int Arch
T3 Adapt ERP patterns to client SAP/Epicor config 6 Sr Int Arch
T4 Adapt IoT patterns if applicable 5 Sr Int Arch
T5 Configure medallion architecture for client Fabric environment 5 Sr Int Arch
T6 Configure pattern decision documentation for client context 6 Sr Int Arch
T7 Client review and approval 8 Sr Int Arch
Epic E4

Validation & Handoff

Phase 4 ~40 accelerated hrs Baseline: 60–80 hrs Savings: 20–40 hrs (33–50%) 2 Stories
E4-S1 Cross-Module Validation
P1 S 15 hrs
Owner
Lead Architect
Depends On
E3 complete
Acceptance Criteria
  • Cross-module naming consistency verified
  • Inter-module references validated
  • Compliance alignment audited (OWASP, NIST, ISO, DAMA)
  • All cross-module conflicts resolved
Tasks
ID Task Hours Role
T1 Cross-module naming consistency review 4 Lead Architect
T2 Inter-module reference validation 3 Lead Architect
T3 Compliance alignment audit (OWASP, NIST, ISO, DAMA) 5 Lead Architect
T4 Resolve any cross-module conflicts 3 Lead Architect
E4-S2 Client Handoff
P1 S 20 hrs
Owner
Lead Architect + Engagement Lead
Depends On
E4-S1
Acceptance Criteria
  • Final client presentation delivered
  • Executive sign-off obtained
  • Implementation team knowledge transfer complete
  • Standards adoption guide created for client team
  • Lessons learned documented for ISL feedback loop
Tasks
ID Task Hours Role
T1 Final client presentation preparation 4 Lead Architect
T2 Executive sign-off meeting 3 Engagement Lead
T3 Implementation team knowledge transfer 5 Lead Architect
T4 Create standards adoption guide for client team 4 Lead Architect
T5 Document lessons learned for ISL feedback loop 4 Engagement Lead

Summary

Full engagement execution backlog — accelerated hours vs. baseline with savings per epic

Epic Stories Sprint Accelerated Hrs Baseline Hrs Savings Reduction
E0 Setup & Assessment 2 0 ~40 60–80 20–40 33–50%
E1 Foundation Deployment 2 1 ~60 90–150 30–90 33–60%
E2 Core Deployment 2 2 ~70 130–200 60–130 46–65%
E3 Advanced Deployment 2 3 ~90 160–240 70–150 44–63%
E4 Validation & Handoff 2 4 ~40 60–80 20–40 33–50%
Total 10 0–4 ~300 500–700 200–400 30–57%