Benchmarking Associates Guide
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.
These advances have massively increased the depth and breadth of analysis and comparisons possible to the practitioner. Indeed, to remain competitive, it has become essential to continuously track performance outcomes and measure them against the toughest competitors and industry leaders.
The CII Data Warehouse provides a statistically valid, credible benchmarking resource. 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.
The 10-Step Benchmarking Process
- Obtain organizational commitment to benchmark as a basis for improvement.
- Identify the Benchmarking Associate – the person responsible for benchmarking coordination.
- Attend CII’s Data Warehouse Training.
- Identify project managers for benchmarking and improvement.
- Determine levels of use – how much and what do you want to benchmark?
- Input project data during execution.
- Finalize and submit project questionnaire by phase or at project close out.
- Generate project and/or enterprise reports.
- Repeat steps 5-8 as part of your continuous improvement program.
- Engage with the Data Analytics Community for Business Advancement.
