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Businesses can overcome the challenges of project regression by implementing a robust project management system, continuous monitoring and evaluation of project progress, and regular training and development of employees. It's also important to maintain open communication channels to address issues promptly and effectively. Additionally, businesses can use data analytics to identify patterns and trends that may lead to project regression, and take proactive measures to prevent it.
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Over the first four years, the bank launched 33 to 51 projects every six months, each involving 1,600 employees. Initial improvements in efficiency averaged 10%; the gains rose to 20% after a year and 31% after two years. However, despite the impressive gains, 21% of projects failed to yield any improvements. Among the 79% that showed initial improvements, many regressed: only 73% were still producing results above baseline after a year and after two years the number fell to 44%. The researchers examined whether projects that were initially successful could preserve the gains and show continuous improvement, but only 51% of them were continuing to improve a year after launch and after two years the figure dropped to 36%.
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