---
title: [OR] [P2] [S2] [MII] [C10] Step 7 – Analyse Mapping Outputs
description: [OR] [P2] [S2] [MII] [C10] Step 7 – Analyse Mapping Outputs
image: https://blog.bcm-institute.org/hubfs/OR%20P2%20S2%20Mapping%20Interconnections%20and%20Interdependencies/%5BOR%5D%20%5BP2%5D%20%5BS2%5D%20%5BMII%5D%20%5BC10%5D%20Step%207%20%E2%80%93%20Analyse%20Mapping%20Outputs.jpg
---

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###### From Complexity to Clarity: Mapping Interconnections and Interdependencies for Operational Resilience

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# \[OR\] \[P2\] \[S2\] \[MII\] \[C10\] Step 7 – Analyse Mapping Outputs

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Once interconnections and interdependencies have been mapped and validated, the next step is to **analyse the mapping outputs**. This step is where operational resilience moves from documentation to **decision-making**.

Mapping on its own provides visibility—but analysis transforms that visibility into **insight, prioritisation, and action**. It enables organisations to identify vulnerabilities, understand systemic risks, and determine where resilience investments should be focused.

This chapter outlines how to analyse mapping outputs by identifying:

- **Single points of failure**
- **Critical dependencies**
- **Concentration risks**

It also explains how these insights are linked to **impact tolerance setting** and **scenario design**, ultimately transforming mapping into **actionable resilience intelligence**.

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[Moh Heng Goh](https://blog.bcm-institute.org/ebook-or/author/moh-heng-goh) May 4, 2026

###### Operational Resilience Certified Planner-Specialist-Expert

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### \[P2\] \[S2\] Chapter 10

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### **Step 7 – Analyse Mapping Outputs**

#### **Introduction**

![0014 Risk and Crisis Management Collab](https://blog.bcm-institute.org/hs-fs/hubfs/OR%20Implement%20Series%20BB_Pic/OR%20Implement%20Series%20%5BP2%5D%20%5BS2%5D%20%5BPictures%5D/0014%20Risk%20and%20Crisis%20Management%20Collab.png?width=300&height=200&name=0014%20Risk%20and%20Crisis%20Management%20Collab.png)Once interconnections and interdependencies have been mapped and validated, the next step is to **analyse the mapping outputs**. This step is where operational resilience moves from documentation to **decision-making**.[![\[OR\] \[P2\] \[S2\] \[MII\] \[C10\] Step 7 – Analyse Mapping Outputs](https://no-cache.hubspot.com/cta/default/3893111/44bbb252-fdf5-4026-90ba-cbbdbe9c099a.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/44bbb252-fdf5-4026-90ba-cbbdbe9c099a)

Mapping on its own provides visibility—but analysis transforms that visibility into **insight, prioritisation, and action**. It enables organisations to identify vulnerabilities, understand systemic risks, and determine where resilience investments should be focused.

This chapter outlines how to analyse mapping outputs by identifying:

- **Single points of failure**
- **Critical dependencies**
- **Concentration risks**

It also explains how these insights are linked to **impact tolerance setting** and **scenario design**, ultimately transforming mapping into **actionable resilience intelligence**.

#### **Purpose of the Chapter**

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The purpose of this chapter is to:

- Provide a structured approach to analysing mapping outputs
- Identify key risk indicators within interconnections and dependencies
- Link mapping insights to operational resilience activities
- Enable organisations to derive **actionable outcomes** from mapping

#### **From Mapping to Insight**

##### **The Value of Analysis**

Mapping answers the question:

*“What are the components and how are they connected?”*

Analysis answers the more critical question:

*“Where are the risks, and what should we do about them?”*

Without analysis:

- Mapping remains descriptive
- Risks remain unidentified
- Resilience actions lack focus

 

##### **Analytical Objectives**

The primary objectives of analysing mapping outputs are to:

- Identify **vulnerabilities and weak points**
- Understand **dependency criticality**
- Detect **systemic and concentration risks**
- Support **risk-based prioritisation**

#### **Identifying Single Points of Failure (SPOF)**

##### **Definition**

A **Single Point of Failure (SPOF)** is a component whose failure would result in:

- Complete disruption of a CBS
- Inability to deliver service outcomes

##### **Examples**

- A single authentication system supporting all digital channels
- A key individual with unique expertise and no backup
- A single data centre hosting critical systems

##### **Identification Approach**

Using mapping outputs, organisations should:

- Trace dependencies for each CBS
- Identify components with **no redundancy or fallback**
- Assess impact if the component becomes unavailable

##### **Risk Implications**

SPOFs represent:

- High vulnerability
- Immediate disruption risk
- Priority areas for mitigation

##### **Mitigation Considerations**

- Introduce redundancy (systems, personnel, locations)
- Diversify dependencies
- Strengthen controls and monitoring

 

#### **Identifying Critical Dependencies**

##### **Definition**

Critical dependencies are components that are **essential to the delivery of a CBS**, even if alternatives exist.

 

##### **Characteristics**

A dependency is considered critical if:

- Its failure significantly impacts service delivery
- It has a direct link to customer outcomes
- It affects regulatory or financial obligations

 

##### **Identification Approach**

Organisations should:

- Assess dependency strength and criticality (from mapping outputs)
- Identify components with **high operational importance**
- Prioritise dependencies supporting multiple CBS

 

##### **Examples**

- Core banking systems
- Payment processing engines
- Critical third-party service providers

 

##### **Risk Implications**

Critical dependencies:

- Require enhanced resilience measures
- Must be prioritised in recovery planning
- Should be included in scenario testing

 

#### **Identifying Concentration Risks**

##### **Definition**

Concentration risk occurs when multiple services or processes depend on a **single resource, provider, or location**.

 

##### **Types of Concentration Risk**

**Technology Concentration**

- Multiple CBS relying on a single system or platform

**Vendor Concentration**

- Heavy reliance on one third-party provider

**Geographic Concentration**

- Critical operations located in a single site or region

**People Concentration**

- Dependence on a limited number of individuals

##### **Identification Approach**

Using mapping outputs, organisations should:

- Identify shared dependencies across CBS
- Analyse clustering of dependencies
- Evaluate redundancy and diversification

##### **Risk Implications**

Concentration risks:

- Amplify the impact of disruptions
- Increase systemic vulnerability
- Limit recovery options

 

##### **Mitigation Considerations**

- Diversify vendors and service providers
- Implement geographic redundancy
- Distribute workloads across systems
- Strengthen third-party risk management

 

#### **Linking Analysis to Impact Tolerance**

##### **Role of Mapping Insights**

Analysis of dependencies provides critical inputs for defining **impact tolerance**, including:

- Maximum tolerable downtime
- Acceptable level of service degradation
- Data loss thresholds

 

##### **Using Insights to Refine Impact Tolerance**

Organisations should:

- Align tolerance levels with identified vulnerabilities
- Adjust thresholds based on dependency criticality
- Ensure tolerances are **realistic and achievable**

 

##### **Outcome**

Impact tolerances become:

- Evidence-based
- Aligned with actual operational capabilities
- Defensible to regulators

 

#### **Linking Analysis to Scenario Design**

##### **Importance of Scenario Design**

Scenario testing is only effective if it reflects:

- Real-world dependencies
- Actual vulnerabilities
- Plausible disruption pathways

 

##### **Using Mapping Insights for Scenario Development**

Analysis enables organisations to:

- Design scenarios targeting:
- Simulate cascading failures across interconnected components

 

##### **Example Scenarios**

- Failure of a shared technology platform impacting multiple CBS
- Outage of a key third-party provider
- Loss of critical personnel during a crisis

 

##### **Outcome**

Scenario testing becomes:

- Realistic
- Comprehensive
- Aligned with actual risk exposure

 

#### **From Analysis to Action**

##### **Translating Insights into Actions**

Organisations must convert analytical findings into:

- Risk mitigation strategies
- Resilience enhancement initiatives
- Investment priorities

 

##### **Example Actions**

- Implement redundancy for SPOFs
- Strengthen controls for critical dependencies
- Diversify vendors to reduce concentration risk
- Enhance monitoring of high-risk components

 

##### **Integration with Operational Resilience Framework**

Analysis outputs should feed into:

- Business Continuity Management (BCM)
- Crisis Management (CM)
- Third-Party Risk Management (TPRM)
- Technology Risk Management (TRM)

 

#### **Outcome of Step 7**

The outcome of analysing mapping outputs is:

**The transformation of mapping data into actionable resilience insights that enable informed decision-making, risk prioritisation, and targeted resilience improvements.**

 

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Analysing mapping outputs is a **critical step in operational resilience implementation**, bridging the gap between visibility and action.

By identifying:

- **Single points of failure**
- **Critical dependencies**
- **Concentration risks**

organisations gain a deep understanding of where vulnerabilities exist and how disruptions may propagate.

Linking these insights to:

- **Impact tolerance**
- **Scenario design**

ensures that resilience strategies are:

- Realistic
- Targeted
- Effective

Ultimately, this step enables organisations to move from **mapping what exists** to **strengthening what matters**, ensuring that Critical Business Services can be sustained even under severe disruption.

In the next chapter, we will explore how to **operationalise these insights through tools, templates, and practical implementation approaches**, enabling organisations to embed interconnection mapping into their day-to-day resilience practices.

 

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| **C1** | **C2** | **C3** | **C4** | **C5** | **C6** |
| --- | --- | --- | --- | --- | --- |
| [![\[OR\] \[P2\] \[S2\] \[MII\] \[C1\] Introduction to Interconnections and Interdependencies](https://no-cache.hubspot.com/cta/default/3893111/8cbaf41b-9671-404d-83b3-9a20c9fd69f7.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/8cbaf41b-9671-404d-83b3-9a20c9fd69f7) | [![\[OR\] \[P2\] \[S2\] \[MII\] \[C2\] Why Mapping is Critical for Operational Resilience](https://no-cache.hubspot.com/cta/default/3893111/a7625fb5-1205-4fc5-97d4-4b7492c2b25f.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/a7625fb5-1205-4fc5-97d4-4b7492c2b25f) | [![\[OR\] \[P2\] \[S2\] \[MII\] \[C3\] Core Components of Interconnections and Dependencies](https://no-cache.hubspot.com/cta/default/3893111/38a3cbd4-322a-41bd-974f-5090a2ce52aa.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/38a3cbd4-322a-41bd-974f-5090a2ce52aa) | [![\[OR\] \[P2\] \[S2\] \[MII\] \[C4\] Step 1 – Define Scope of Mapping](https://no-cache.hubspot.com/cta/default/3893111/69cc922b-c86c-4242-b85b-315a3f941e12.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/69cc922b-c86c-4242-b85b-315a3f941e12) | [![\[OR\] \[P2\] \[S2\] \[MII\] \[C5\] Step 2- Identify Data Sources](https://no-cache.hubspot.com/cta/default/3893111/622d0fcc-71bf-4c3b-a569-213cb48bd1db.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/622d0fcc-71bf-4c3b-a569-213cb48bd1db) | [![\[OR\] \[P2\] \[S2\] \[MII\] \[C6\] Step 3 – Develop Mapping Framework](https://no-cache.hubspot.com/cta/default/3893111/95581d69-3824-4acd-accf-03c2cab43765.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/95581d69-3824-4acd-accf-03c2cab43765) |
| **C7** | **C8** | **C9** | **C10** | **C11** | ** C12** |
| [![\[OR\] \[P2\] \[S2\] \[MII\] \[C7\] Step 4 – Map Processes and Resources](https://no-cache.hubspot.com/cta/default/3893111/a4ffedf2-c795-41e9-9a8b-c5e24eea7159.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/a4ffedf2-c795-41e9-9a8b-c5e24eea7159) | [![\[OR\] \[P2\] \[S2\] \[MII\] \[C8\] Step 5 – Map Interconnections and Interdependencies](https://no-cache.hubspot.com/cta/default/3893111/10f06848-f21f-457d-aa80-ca4e3b20ce9e.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/10f06848-f21f-457d-aa80-ca4e3b20ce9e) | [![\[OR\] \[P2\] \[S2\] \[MII\] \[C9\] Step 6 – Validate Mapping](https://no-cache.hubspot.com/cta/default/3893111/57d7a65a-a462-4919-9324-53e0bb207f3e.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/57d7a65a-a462-4919-9324-53e0bb207f3e) | [![\[OR\] \[P2\] \[S2\] \[MII\] \[C10\] Step 7 – Analyse Mapping Outputs](https://no-cache.hubspot.com/cta/default/3893111/44bbb252-fdf5-4026-90ba-cbbdbe9c099a.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/44bbb252-fdf5-4026-90ba-cbbdbe9c099a) | [![\[OR\] \[P2\] \[S2\] \[MII\] \[C11\] Mapping Tools and Techniques](https://no-cache.hubspot.com/cta/default/3893111/d2fab757-0d78-42dd-8553-044eead7390e.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/d2fab757-0d78-42dd-8553-044eead7390e) | [![\[OR\] \[P2\] \[S2\] \[MII\] \[C12\] Standard Templates and Data Structures](https://no-cache.hubspot.com/cta/default/3893111/4f04214c-3a0f-4bed-b2f8-6352c6d3cda0.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/4f04214c-3a0f-4bed-b2f8-6352c6d3cda0) |
| **C13** | **C14** | **C15** | **C16** | **C17** | ** C18** |
| [![\[OR\] \[P2\] \[S2\] \[MII\] \[C13\] Integration with Operational Resilience Framework](https://no-cache.hubspot.com/cta/default/3893111/c9628dd2-bbcb-4b54-b5b5-490066640d6d.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/c9628dd2-bbcb-4b54-b5b5-490066640d6d) | [![\[OR\] \[P2\] \[S2\] \[MII\] \[C14\] Mapping Third-Party and Supply Chain Dependencies](https://no-cache.hubspot.com/cta/default/3893111/0c13b720-3d3e-4452-91e4-b9533260b3a4.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/0c13b720-3d3e-4452-91e4-b9533260b3a4) | [![\[OR\] \[P2\] \[S2\] \[MII\] \[C15\] Mapping for Digital and Cloud Environments](https://no-cache.hubspot.com/cta/default/3893111/1c90de74-af6b-44d3-ae4f-26d01eac3cf7.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/1c90de74-af6b-44d3-ae4f-26d01eac3cf7) | [![\[OR\] \[P2\] \[S2\] \[MII\] \[C16\] Common Challenges and Pitfalls](https://no-cache.hubspot.com/cta/default/3893111/32bbd8d7-f947-42ac-9db9-b88b0b156813.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/32bbd8d7-f947-42ac-9db9-b88b0b156813) | [![\[OR\] \[P2\] \[S2\] \[MII\] \[C17\] Case Study – Banking Sector CBS Mapping](https://no-cache.hubspot.com/cta/default/3893111/5a846fed-f810-4f6b-a1d8-0c2100f0eeac.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/5a846fed-f810-4f6b-a1d8-0c2100f0eeac) | [![\[OR\] \[P2\] \[S2\] \[MII\] \[C18\] Governance and Ownership of Mapping](https://no-cache.hubspot.com/cta/default/3893111/44ed11f0-5263-4485-98db-725a423c5fd6.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/44ed11f0-5263-4485-98db-725a423c5fd6) |
| **C19** | **C20** | **C21** | **C22** |  |  |
| [![\[OR\] \[P2\] \[S2\] \[MII\] \[C19\] Using Mapping for Scenario Testing](https://no-cache.hubspot.com/cta/default/3893111/b7bf0bc8-b382-4892-821d-c7c867303f14.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/b7bf0bc8-b382-4892-821d-c7c867303f14) | [![\[OR\] \[P2\] \[S2\] \[MII\] \[C20\] Maintaining and Updating Mapping](https://no-cache.hubspot.com/cta/default/3893111/41d34d1f-78bd-4346-845e-b0b86232cfa6.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/41d34d1f-78bd-4346-845e-b0b86232cfa6) | [![\[OR\] \[P2\] \[S2\] \[MII\] \[C21\] Key Takeaways and Future Direction](https://no-cache.hubspot.com/cta/default/3893111/d8414f6b-4b4e-4a50-adb3-963546f13951.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/d8414f6b-4b4e-4a50-adb3-963546f13951) | [![\[OR\] \[P2\] \[S2\] \[MII\] \[C22\] Back Cover](https://no-cache.hubspot.com/cta/default/3893111/0f96fecf-9a98-4404-8377-d37c1233df10.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/0f96fecf-9a98-4404-8377-d37c1233df10) |   |   |

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