Benchmarking Associates Guide

DA-CBA Topic Summary


CII’s Benchmarking Program, available through the Data Warehouse, provides a statistically valid, credible project benchmarking resource. Since CII first developed its Benchmarking Program in the 1990s, the emergence of big data has increased the quantity of data being produced at staggering rates. Likewise, tools for high-performance computing, business intelligence, and data science techniques have grown alongside big data.

This Benchmarking Associates Guide is intended to be a high-level description of the benchmarking process and its application at CII. Most importantly, this is a “how to guide” for new or existing Benchmarking Associates. Written by the Data Analytics Community for Business Advancement (DA CBA), this Benchmarking Associates Guide provides a high-level description of the benchmarking process and its application at CII.

Key Findings and Implementation Tools

1 : The 10-Step Benchmarking Process

The benchmarking process needs to be geared toward moving the corporation closer to a “best in class” status in selected metrics. Experience may be a great teacher, but benchmarking allows your organization to benefit from the experience of others who are considered to be the best while preventing your organization from paying the high price of firsthand experience. The benchmarking process includes the following 10 steps (IR BMM-2, Version 2.0, p. 9):

The 10-Step Benchmarking Process
  1. Obtain organizational commitment to benchmark as a basis for improvement.
  2. Identify the Benchmarking Associate – the person responsible for benchmarking coordination.
  3. Attend CII’s Data Warehouse Training.
  4. Identify project managers for benchmarking and improvement.
  5. Determine levels of use – how much and what do you want to benchmark?
  6. Input project data during execution.
  7. Finalize and submit project questionnaire by phase or at project close out.
  8. Generate project and/or enterprise reports.
  9. Repeat steps 5-8 as part of your continuous improvement program.
  10. Engage with the Data Analytics Community for Business Advancement.
Reference: (IR-BMM-2 v2)

Key Performance Indicators

Metrics, Cost Management, Schedule Management

Research Publications

Benchmarking Associates Guide - IR-BMM-2 v2

Publication Date: 01/2023 Type: Benchmarking Report Pages: 19 Status: Supporting Product