Description

This curriculum spans the full lifecycle of service portfolio management, equivalent in depth to a multi-workshop advisory engagement, addressing real-world complexities such as cross-domain service ownership, financial integration, regulatory compliance, and strategic governance.

Module 1: Defining and Scoping the Service Portfolio

Selecting which services to include in the portfolio based on business unit alignment, rather than technical ownership, to avoid duplication across divisions.
Establishing criteria for service inclusion, such as minimum customer base, revenue threshold, or strategic importance, to prevent portfolio bloat.
Deciding whether to maintain separate portfolios for internal vs. external services when compliance and pricing models differ.
Resolving conflicts between service owners over portfolio categorization when a service spans multiple business domains.
Implementing version control for service definitions to track changes in scope, especially during mergers or divestitures.
Integrating portfolio scope decisions with enterprise architecture governance to ensure consistency with overall IT strategy.

Module 2: Classifying Services Using Standard Taxonomies

Adopting a standardized classification framework (e.g., ITIL service types) while customizing categories to reflect industry-specific offerings like regulated data services.
Assigning lifecycle stages (pipeline, active, retired) to services and enforcing review triggers for stage transitions.
Handling hybrid services that combine infrastructure, application, and business process components by defining cross-category tagging rules.
Mapping service classifications to financial cost centers to enable accurate chargeback and showback reporting.
Reconciling discrepancies between technical service definitions and business-facing service names used in contracts.
Updating classification schemas in response to new regulatory requirements, such as data sovereignty or cybersecurity mandates.

Module 3: Establishing Service Valuation Models

Choosing between cost-based, market-based, and value-based pricing models for internal services with no external benchmark.
Allocating shared infrastructure costs across services using driver-based allocation (e.g., CPU hours, user count) versus headcount.
Defining assumptions for discount rates and service lifespan when calculating net present value of long-term service investments.
Deciding whether to include intangible benefits (e.g., risk reduction, compliance) in valuation models and how to quantify them.
Validating valuation inputs with finance and procurement teams to ensure consistency with capitalization policies.
Adjusting valuation models quarterly to reflect changes in operational costs, demand volume, or technology depreciation.

Module 4: Conducting Demand and Capacity Analysis

Forecasting service demand using historical utilization data while adjusting for known business events like product launches or seasonal peaks.
Identifying capacity bottlenecks in shared platforms that support multiple services and prioritizing upgrades based on portfolio impact.
Setting service-level thresholds for resource consumption to trigger capacity reviews and prevent performance degradation.
Implementing right-sizing recommendations for underutilized services, including migration to shared environments or decommissioning.
Coordinating capacity planning cycles with budgeting timelines to align investment approvals with infrastructure scaling needs.
Using scenario modeling to assess the impact of demand spikes on service availability and cost structure across the portfolio.

Module 5: Performing Strategic Portfolio Reviews

Establishing a quarterly review cadence for all active services with mandatory participation from business and IT stakeholders.
Applying a standardized scoring model to evaluate services on strategic alignment, profitability, customer satisfaction, and technical debt.
Deciding whether to sunset a service based on declining usage trends, even if it remains profitable in the short term.
Managing stakeholder resistance when proposing consolidation of overlapping services with strong departmental ownership.
Documenting rationale for portfolio decisions to support audit requirements and future benchmarking.
Integrating portfolio review outcomes into enterprise roadmap planning to inform future investment and divestment decisions.

Module 6: Governing Service Lifecycle Transitions

Defining entry criteria for new services, including business case approval, risk assessment, and integration testing sign-off.
Implementing change control procedures for modifying service scope, pricing, or delivery model during active lifecycle phases.
Enforcing data retention and archival requirements during service retirement to meet legal and compliance obligations.
Coordinating communication plans with HR and customer support when retiring services used by internal or external clients.
Transferring service knowledge and documentation to operations teams upon transition from development to steady-state support.
Conducting post-retirement audits to verify decommissioning completeness, including infrastructure deprovisioning and license cancellation.

Module 7: Integrating Portfolio Data with Enterprise Systems

Synchronizing service portfolio metadata with configuration management databases (CMDB) to ensure accurate dependency mapping.
Mapping service records to general ledger codes in the ERP system to enable automated cost allocation and financial reporting.
Resolving data conflicts when service ownership in the portfolio does not match accountability in project management tools.
Implementing API-based integrations between portfolio management tools and service delivery platforms for real-time utilization feeds.
Establishing data governance rules for who can update service records and under what approval workflows.
Generating standardized data extracts for inclusion in enterprise risk, compliance, and audit reporting packages.

Module 8: Measuring Portfolio Performance and Optimization

Selecting KPIs that reflect both financial efficiency (e.g., cost per transaction) and strategic value (e.g., revenue enablement).
Calculating portfolio-level metrics such as percentage of services under review, time-to-decommission, and investment concentration.
Identifying optimization opportunities by benchmarking service performance against industry peers or internal best performers.
Adjusting service delivery models (e.g., insource, outsource, automate) based on performance trends and cost-benefit analysis.
Reporting portfolio health dashboards to executive steering committees with drill-down capability to individual service details.
Using portfolio performance data to refine service design standards and onboarding processes for future services.