Data driven systems and methods for optimization of a target business

A system for determining a benchmark competitor of a target business, the system comprising one or more processors configured to perform a method comprising:

• determining at least one attribute associated with the target business and a business industry;
• receiving performance data related to competitors of the target business, the competitors being in the business industry, wherein the performance data includes the at least one attribute and performance variables associated with the competitors;
• determining factor weights, the factor weights corresponding to the performance variables
• determining multiple-criteria decision-analysis and analytic hierarchy process (MCDA-AHP) weights, the MCDA-AHP weights corresponding to the performance variables;
• determining adaptive weights based on the factor weights and the MCDA-AHP weights;
• applying each of the adaptive weights to each of the performance variables related to each competitor to generate adaptively-weighted performance variables;
• determining a performance score for each of the competitors, the performance score for each of the competitors being based on the adaptively-weighted performance variables, wherein the performance score for each of the competitors is a quantization representative of a performance of a respective competitor;
• and
• determining, the benchmark competitor based on the performance scores of the competitors.

A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to perform a method comprising:

• determining at least one attribute associated with the target business and a business industry;
• receiving performance data related to competitors of the target business, the competitors being in the business industry, wherein the performance data includes the at least one attribute and performance variables associated with the competitors;
• determining factor weights, the factor weights corresponding to the performance variables;
• determining multiple-criteria decision-analysis and analytic hierarchy process (MCDA-AHP) weights, the MCDA-AHP weights corresponding to the performance variables;
• determining adaptive weights based on the factor weights and the MCDA-AHP weights;
• applying each of the adaptive weights to each of the performance variables related to each competitor to generate adaptively-weighted performance variables;
• determining a performance score for each of the competitors, the performance score for each of the competitors being based on the adaptively-weighted performance variables, wherein the performance score for each of the competitors is a quantization representative of a performance of a respective competitor;
• and
• determining, the benchmark competitor based on the performance scores of the competitors.