Business Analyst Technique: Benchmarking - Definition, Process & Best Practices

What Is Benchmarking in Business Analysis?

Benchmarking is a business analysis technique used to compare an organization's processes, products, services, or performance metrics against those of other organizations — typically industry leaders, direct competitors, or recognized best-in-class performers — to identify improvement opportunities. Instead of relying solely on internal opinions about what "good" looks like, benchmarking grounds decisions in external, real-world data.

The core idea is simple: if another organization has already solved a problem more efficiently, more cheaply, or more effectively, there's no need to reinvent that solution from scratch. Benchmarking gives business analysts a structured way to learn from external practices and translate those lessons into concrete improvement recommendations.

What Is the Purpose of Benchmarking?

The purpose of benchmarking is to measure an organization's current performance against external standards or competitors, identify performance gaps, and use those insights to set realistic, evidence-based improvement targets. It answers the question: "How do we compare to others, and what should we change based on that comparison?"

Types of Benchmarking

Benchmarking isn't a single approach — business analysts typically choose from several types depending on the goal:

1. Competitive Benchmarking

Compares performance directly against competitors within the same industry. This is useful for understanding relative market position, but data can be harder to obtain since competitors rarely share detailed internal metrics voluntarily.

2. Functional (Industry) Benchmarking

Compares a specific function or process — such as customer service or supply chain management — against organizations in the same industry, not necessarily direct competitors. This widens the pool of comparison data available.

3. Generic (Best-in-Class) Benchmarking

Compares a process against the best-performing organizations for that process, regardless of industry. For example, a hospital might study a hotel chain's check-in process to improve patient intake, even though the two industries are otherwise unrelated.

4. Internal Benchmarking

Compares performance across different departments, teams, or business units within the same organization. This is often the easiest type to conduct since data is readily accessible, and it's a useful starting point before looking externally.

Steps for Conducting a Benchmarking Study

1. Define the Scope and Objective

Identify exactly which process, product, or performance metric will be benchmarked, and clarify why — what decision or improvement will this study support?

2. Identify Benchmarking Partners or Sources

Determine who or what will be compared against — competitors, industry leaders, best-in-class organizations outside the industry, or internal departments. Identify credible data sources: published reports, industry associations, surveys, site visits, or public financial disclosures.

3. Collect Data

Gather performance data using consistent, comparable metrics. This might involve reviewing public reports, conducting structured interviews, distributing surveys, or arranging site visits with benchmarking partners.

4. Analyze Gaps

Compare the organization's current performance against the benchmark data to identify where meaningful gaps exist — and, just as importantly, where performance is already strong.

5. Identify Root Causes and Best Practices

Investigate why benchmark organizations perform better in identified gap areas. Understanding the underlying practices, not just the resulting numbers, is what makes the insight actionable.

6. Develop Recommendations

Translate findings into specific, achievable recommendations tailored to the organization's own context — a practice that works elsewhere may need adaptation before it will work internally.

7. Monitor and Reassess

Benchmarking isn't a one-time exercise. Track progress against the improvement targets set, and periodically repeat the benchmarking process as industry standards continue to evolve.

Strengths of the Benchmarking Technique

• Provides an external, objective reference point rather than relying purely on internal assumptions about acceptable performance.
• Identifies realistic and achievable improvement targets, since the targets are based on what other organizations have actually demonstrated is possible.
• Uncovers best practices that can be adapted and applied internally, often saving significant time compared to developing a solution from scratch.
• Strengthens business cases for change, since recommendations backed by external comparison data tend to carry more weight with decision-makers.
• Supports competitive positioning by clarifying where an organization stands relative to its industry or market.

Limitations of the Benchmarking Technique

• Reliable external data can be difficult to obtain, particularly for competitive benchmarking, where competitors have little incentive to share detailed metrics.
• Differences in context matter. A process that works well for one organization may not translate directly due to differences in scale, culture, technology, or market conditions.
• Can be time-consuming and resource-intensive, especially when it involves site visits, surveys, or building formal partnerships with benchmarking organizations.
• Risk of superficial comparison. Comparing surface-level metrics without understanding the underlying processes that produce them can lead to misleading conclusions.
• May encourage a "follow the leader" mindset that limits genuine innovation if used as the sole basis for improvement, rather than one input among several.

Frequently Asked Questions

What is benchmarking in business analysis? Benchmarking is a technique that compares an organization's processes, products, or performance against other organizations — competitors, industry peers, or best-in-class performers — to identify performance gaps and set improvement targets.

What are the main types of benchmarking? The four main types are competitive benchmarking (against direct competitors), functional benchmarking (against industry peers for a specific function), generic benchmarking (against best-in-class organizations regardless of industry), and internal benchmarking (across departments within the same organization).

When should a business analyst use benchmarking? Benchmarking is most useful when an organization needs an objective, external reference point to evaluate its own performance, when setting realistic improvement targets, or when building a business case for change that requires evidence beyond internal opinion.

What are the biggest challenges with benchmarking? The biggest challenges are obtaining reliable external data (especially from competitors), accounting for contextual differences between organizations, and the time and resources needed to conduct a thorough study.

How is benchmarking different from best practice analysis? Benchmarking measures and compares performance data to identify gaps, while best practice analysis identifies and documents the specific methods that produce superior results. The two techniques are often used together.

Key Takeaway

Benchmarking gives business analysts a way to step outside an organization's own assumptions and measure performance against the outside world. By choosing the right type of benchmarking, gathering credible comparison data, and digging into the "why" behind performance gaps — not just the numbers themselves — teams can set realistic improvement targets and build stronger, evidence-backed business cases for change. Used thoughtfully alongside internal analysis, it turns "we think we're doing well" into "here's how we actually compare, and here's what to do about it."

Worked out example

Governance, Risk and Compliance (GRC) management system is developed for the IT and ITES domain. The primary objective of GRC management system is to help companies implement Governance, Quality, and Information Security Management Systems in an integrated manner. It has various features, one of which is to plan and track projects and programs using standards such as CMMI, ISO 9001, and ISO 27001 etc.

Through this example let us try to understand how the functional decomposition of the Project Management module of Governance, Risk and Compliance (GRC) management system is done.

The Governance, Risk and Compliance (GRC) management PM module has multiple sub-modules like Project Overview, Schedule, Defects, Risks, and Issues etc. The activity under each sub-module is broken down further into tasks.