Benchmarking analysis is the process of comparing one
company’s information or performance against another. This activity is quite
common among businesses, especially publicly held companies. Many different
analysis methods exist. For example, a company can compare its financial performance,
product quality, production processes, or marketing campaigns to industry
standards. Its purpose is to help a company become better at achieving goals
through comparison with much more successful companies.
Owners and executives are the most important
individuals in the benchmarking analysis process. These individuals must decide
what parts of the company to benchmark against external standards. They
implement processes where the comparison takes place in a timely manner. Other
individuals or employees typically complete the bulk of the work. Copious
amounts of information are often necessary to conduct benchmarking, especially
when multiple parts of a company are under scrutiny.
A common example of benchmarking analysis is the
comparison of one company’s financial data against a leading competitor’s data
or the industry standard. Financial ratios are the most important tools when
conducting this analysis. The use of financial ratios removes any difference in
accounting methods or preparation of financial statements. Once complete,
the financial ratio metrics present comparable data for the ease of
analysis. For example, accountants can compare inventory turnover
without regard to the specific types of inventory each company sells in the
marketplace.
Goals and objectives may be a reason that a company engages in
benchmarking analysis. If a company desires improvements in certain operational
areas, it gathers performance data on the operations. Then, business analysts
find the industry standard or leader for this specific process. Upon comparison
of the two companies' data, owners and executives may set goals on how to
improve internal operations to meet or exceed these outside guidelines. The
company and its employees then work to improve operations until a subsequent
analysis indicates the new goal has been achieved.
Benchmarking analysis is not always a foolproof process. Comparing
data that has no correlation can result in goals or objectives that are
unattainable. Additionally, creating internal benchmarks that have no
comparable data in the industry may result in wasted time as the data is
useless on its own. Owners and executives may be unable to make suggestions
that improve operations by decreasing costs or increasing efficiency, two
common goals of benchmarking analysis.
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