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Software engineers are in a constant fight for efficiency. Whether teams are conducting scrum sprints or implementing a DevOps approach, the end goal is improving productivity and delivering better software, faster.
Just about every industry is using data to achieve that end, but surprisingly — 19 years after Michael Lewis published Moneyball and brought data-driven decision-making to millions of everyday readers — many developer teams still fail to fully integrate data into their operations. According to New Relic and ETR’s 2022 Observability Forecast, only 5% of survey respondents have a mature observability practice, demonstrating that these organizations haven’t fully grasped how to use data to improve their performance.
While taking a data-driven approach is a healthy exercise for any organization, software engineers in particular can benefit from relying more on data and less on guesswork. The teams responsible for building the tools of the future should set an example for other business units, demonstrating how a data-driven approach can make life easier and more efficient.
5 elements of a data-driven approach
Here are five ways doubling down on data can make software engineers more productive:
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Facilitating cross-team collaboration
Teams can only work together efficiently when they’re able to build on common ground. By investing in data, engineering leaders can provide employees with a unified language to discuss challenges and opportunities — and measure the outcomes of the decisions they make in those discussions. …