Is your application portfolio delivering maximum value, or is it hiding costly risks? Do you know which applications provide the best business value, or which are prime candidates for retirement, replacement, or migration?
If you’re unsure, you’re not alone. Without a clear framework for application portfolio scoring, APM conversations quickly become subjective: every domain insists its systems are “critical,” every vendor pitch sounds urgent, and rationalization waves stall.
A successful APM assessment & scoring model generates the data-driven insights you need to improve your technology landscape and tells you where to focus first.
To execute this effectively, you need a platform that goes beyond simple lists. You need a solution that brings together rigorous data management with engaging visualization. Sparx Systems Enterprise Architect (EA) combined with Prolaborate offers precisely this balance, providing a powerful alternative to static spreadsheets or disconnected tools. This integrated approach empowers you to:
- Define a scoring model that fits your organization (cost, risk, value, usage, technical health, etc.)
- Implement scores directly on application elements in Sparx Enterprise Architect (EA).
- Visualize the results as heatmaps, charts, and priority lists in Prolaborate
- Use those views to drive rationalization decisions (retain/retire/rehost/rebuild/replace)
Deploy a standardized APM framework instantly using our industry-proven metamodels and pre-configured patterns.
Why is Scoring Needed in APM
Most portfolios have more problems than the budget. Scoring is essential for effective application assessment in Sparx EA, giving you a consistent way to compare difficult choices. For instance, how do you weigh two similar applications in different regions, or an old, stable system against a shiny but fragile new one? It provides a data-driven lens to evaluate high-cost platforms that have low business value and to identify risky, end-of-life technologies that quietly underpin critical processes.
A scoring model helps you:
- Move from “opinions” to structured evidence
- Prioritize where to invest, modernize, or retire
- Explain decisions to business stakeholders in a language they understand
- Track changes in health over time as improvements land (or are delayed)
In Enterprise Architect (EA), the model gives you somewhere to store and trace these scores. In Prolaborate, those same scores become portfolio views that leadership and domain owners can work with.
Defining Scoring Dimensions (Cost, Risk, Value, Usage, Tech Health)
You don’t need many dimensions to get value, though effective cost and risk scoring is almost always required. A simple, common set of APM KPIs are:
- Business value – How important the app is for revenue, customers, or regulatory obligations.
- Technical health – How modern, supportable, and stable the technology stack is.
- Risk/compliance – How exposed the app is from a security, privacy, or regulatory point of view.
- Cost – How expensive it is to run and change (rough bands are enough to start).
- Usage/reach – How many users/processes depend on it, and how visible it is.
Each dimension should have a short description and a clearly understood owner (who sets/maintains the score).
Sample 1–5 Scoring Scale
A generic 1-5 scale you can reuse across dimensions:
- 1 – Very Low Minimal impact, low usage, low cost, or very healthy technology (depending on the dimension).
- 2 – Low Some impact, but issues or values are contained; not a priority area yet.
- 3 – Medium Important enough to watch; not critical but changes here are noticeable.
- 4 – High Significant impact on business or risk profile; requires active management and planning.
- 5 – Very High Critical to operations, revenue, or risk posture; failures or changes here are highly visible and costly.
You can adapt the wording per dimension (e.g., “Very High Risk” vs “Very High Business Value”), but keeping the numeric structure consistent makes visualization and analytics easier.
Implementing Scores in Sparx EA (Properties, Tagged Values, MDG)
Once you know what you want to score, Sparx Enterprise Architect (EA) becomes the place where you encode that structure.
A simple, robust pattern:
- Choose your APM element type, typically an ArchiMate Application Component or UML Component with a custom stereotype like «Application». This becomes the “application record” in your portfolio.
- Add scoring fields as tagged values, for example:
- BusinessValueScore (1–5)
- TechHealthScore (1–5)
- RiskScore (1–5)
- CostScore (1–5)
- UsageScore (1–5)
- Optionally a derived or manually set PriorityScore or Quadrant (e.g., “High value / Low health”).
- Wrap it in a small MDG (if APM is strategic) and define the Application stereotype with:
- Tagged values for each score
- Default data types and allowed values
- A consistent visual appearance for diagrams
This makes the scoring model repeatable across repos and teams.
You can keep it simple: the goal is that every application has the same scoring fields, and architects don’t have to re-invent data structures on each project.
Visualizing Scores in Sparx Systems Prolaborate
Scores only become useful when people can see patterns quickly. This is where Prolaborate APM visualization features turn raw data into actionable portfolio views. Typical visualizations include tables using conditional color to highlight values (like red for high risk), or charts that show the distribution of scores. These can be bar charts showing applications per score level or pie charts breaking them down by domain. Simple, sorted priority lists can also pinpoint items like “highest business value with lowest technical health.”
These become ready-made agendas for portfolio and domain review meetings.
Prolaborate can hide modeling complexity and only show scoring-related fields to business and IT stakeholders, while EA remains the place where architects maintain the underlying structure.
Mapping Scores to Heatmaps
An APM heatmap is a powerful way to make scoring intuitive for non-architects. Common examples:
- Business Value vs Technical Health
- X-axis: Technical Health Score (1–5, where 1 = very healthy, 5 = very poor).
- Y-axis: Business Value Score (1–5).
- Top-right quadrant (high value, poor health) = immediate modernization candidates.
- Risk vs Cost
- X-axis: Cost Score (1–5).
- Y-axis: Risk Score (1–5).
- Top-right: high-cost, high-risk apps that may need urgent attention or contingency plans.
In Prolaborate, you can approximate heatmaps using bubble or scatter-style charts where supported. Another effective method is to segment data in tables and other charts by specific ranges, such as creating a view that highlights all applications with a value ≥4 and tech health ≥4.
The key is to keep the mapping simple so stakeholders instantly see which set of applications needs discussion.
Using Scores to Drive Rationalization Decisions
Scoring on its own doesn’t reduce your portfolio, it sets up the conversation about what to do next.
In Sparx Enterprise Architect, you can connect scores to rationalization decisions by:
- Adding a RationalizationOption field (Retain, Retire, Rehost, Rebuild, Replace) to each application.
- Using scores to pre-filter candidates:
- High value + poor tech health → Rebuild or Replatform
- Low value + high cost → Retire or Consolidate
- High risk + high usage → Short-term remediation or enhanced controls
- Linking each application to:
- The business capabilities and processes it supports
- The projects or work packages that will implement change
- The target platforms or successor applications
In Prolaborate, this becomes a set of actionable views. You can create a report showing all apps with BusinessValue >= 4 and TechHealth >= 4 that have no rationalization decision set, or build priority lists sorted by a combined metric. This also enables review workflows where portfolio boards can confirm or adjust decisions based on the scores.
Stop guessing and start deciding. Let our experts help you align your architecture with business goals using proven governance frameworks and clear metrics.
This scoring model creates a living feedback loop. As platforms are modernized, you can track the improvement in their “Technical Health” score. As risks are addressed, you can watch the “Risk” score decline. And as applications are retired or consolidated, you can measure the reduction in “Cost” and complexity. Ultimately, EA provides the structured model for these scores, while Prolaborate provides the dynamic collaboration space where decisions are debated, agreed, and communicated, turning data into action.
