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Performance data and benchmarking

Our patented custom survey method and toolset enable us to provide meaningful and accurate comparisons of performance tailored to each client’s priorities
How does your performance measure up?
IBM is an international leader in business process optimization. The IBM Institute for Business Value provides a process benchmarking service that helps clients measure their current state and compare their performance against peers.
These benchmarking services can be provided as part of a process transformation initiative or similar engagement. This is a mature offering supported by robust content and specialized tools. Our patented custom survey method and toolset enable us to provide meaningful and accurate comparisons of performance tailored to each client’s priorities.
“I was absolutely delighted and impressed by the job IBM did, and what IBM can offer in the field of benchmarking.”
- Executive Board Member, major insurance company
Featured insights

Boundless benchmarking

Open standards streamline collaboration and lay a foundation for the business models of the future.

Ecosystems and open innovation: Co-create or stagnate

Open innovation drives better business outcomes than traditional innovation. Learn what maturity looks like and what it takes to get there.

Modernize record-to-report

This report shows how, with proper data management, the combination of automation and AI can modernize the record-to-report finance function.

Assessing cyber risk in M&A

Understanding the risks early on can help organizations avoid costly security breaches.

Electrifying Energy

Digital technologies are now driving utility decarbonization efforts. See how evolving industry capabilities are enabling new services.

AI's quantified impact on the finance function

Explore how more than 1,000 finance leaders are using AI to drive quantifiable business outcomes and optimize operational costs.

Our open standards benchmarking database
IBM participates in an internationally recognized open standards benchmarking partnership with APQC, a not-for-profit research organization.
Data from more than 22,000 business entities in more than 70 countries
More than 1,000 performance metrics, supported by business practices
Coverage for all geographies and all industries
Numerous peer group types for comparisons
Featured findings

The case for AI in HR

Organizations that have used AI in a business-as-usual environment for 2 or more years have 22% lower total HR cost per employee compared to non-adopters.

The case for AI in Finance

Organizations that have adopted AI in finance are 22% more likely to be top performers in finance function efficiency and quality metrics.

Talent development

Leading HR organizations deliver 20% more learning days at a 10% lower cost per employee.

Agile in finance

Employing agile practices in finance is the first step in the journey to becoming a truly agile finance organization.

Talent acquisition

Compared to other respondents, over two times more HR leaders invest in AI across the talent acquisition domain.

Finance and Accounting

Organizations that have fully implemented cloud technology in the finance function lowered system cost by 32%.

Order to cash

Organizations that have fully implemented cognitive capabilities for finance operations cost optimization have cut average invoice cost to $11.03.

Financial planning and analysis

Top performers are 75% more likely to review forecast to actual in real time.

AI-Powered Manufacturing

The ability of AI users to respond rapidly to changing business conditions allows better scalability.

Finance and Accounting

Top performers are twice as likely to use AI-based cognitive automation.

Information Technology

IT innovators achieve better business outcomes.

Talent

Organizations that fully implemented cognitive capabilities for learning have higher learning budget per employee.

HR organization

HR leaders are 59% more likely to modify staffing levels ahead of market demand.