【全非资讯·加纳】 加纳：高质量数据是促进更好决策与国家发展的关键

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Bank of Ghana (BoG)第一副行长Dr Zakari Mumuni表示，决策者获取的数据质量对于Ghana做出明智决策、有效管理经济和加速国家发展依然至关重要。\n\n他表示，随着国家进入人工智能和大数据时代，关注的焦点不应仅仅是收集海量信息，而应确保数据的准确性、可靠性、相关性和适用性。\n\n昨天在Tamale举行的Ghana Statistical Association (GSA)第四届统计与数据科学年会上，Dr Mumuni敦促Ghana Statistical Service (GSS)、研究人员以及其他参与数据生产的机构将数据质量放在首位，因为“其他一切都取决于它”。\n\n本次会议的主题为“统计与数据科学创新：研究、实践与政策影响”，汇聚了来自政府、学术界、产业界和国际组织的代表，共同探讨统计与数据科学在国家发展中日益重要的作用。\n\nDr Mumuni表示，Ghana面临的最大挑战已不再是数据短缺，而是如何将海量信息转化为及时、可靠且具行动指导意义的信息。\n\n“数据本身并不能制定政策。预测不能制定政策。算法也不能制定政策。制定政策的是人，”他强调，统计和数据科学应当帮助决策者做出信息更充分、更及时且基于证据的决策。\n\n结合BoG的经验，他指出，高质量的数据始于其收集方式。他提到，该行的研究部门定期在全国各地（包括Tamale）开展价格监测以及企业和消费者信心调查，以确保货币政策决策能够反映Accra以外的经济状况。

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原文原文 / Original Text

The quality of data available to policymakers remains critical to Ghana's ability to make sound decisions, manage the economy effectively and accelerate national development, the First Deputy Governor of the Bank of Ghana (BoG), Dr Zakari Mumuni, has said.

He said as the country entered an era of artificial intelligence and big data, the focus should not only be on collecting large volumes of information, but ensuring that the data was accurate, reliable, relevant and fit for purpose.

Speaking at the 4th Annual Statistics and Data Science Conference of the Ghana Statistical Association (GSA) in Tamale yesterday, Dr Mumuni urged the Ghana Statistical Service (GSS), researchers and other institutions involved in data production to make data quality a priority because "everything else depends upon it".

The conference, held on the theme: 'Innovations in Statistics and Data Science: Research, Practice and Policy Impact,' brought together stakeholders from government, academia, industry and international organisations to deliberate on the growing role of statistics and data science in national development.

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Dr Mumuni said Ghana's greatest challenge was no longer a shortage of data, but how to transform the abundance of information into timely, reliable and actionable intelligence.

"Data itself does not make policy. A forecast does not make policy. An algorithm does not make policy. People make policy," he said, stressing that statistics and data science should help decision-makers make better-informed, timely and evidence-based decisions.

Drawing on the experience of the BoG, he said quality data started with how it was collected. He noted that the Bank's Research Department regularly conducted price monitoring and business and consumer confidence surveys across the country, including Tamale, to ensure that monetary policy decisions reflected economic conditions beyond Accra.

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