We all know that software engineering is the lifeblood of any modern company, but in most organizations, little to no effort is dedicated to analyzing data and determining what works well and what doesn’t. Many organizations measure their performance by simply measuring the amount of code that released. Instead, maybe they should measure the potential code that could have been released and assess how efficiently it could have been developed and deployed.
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