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A DATA-DRIVEN APPROACH TO THE PANDEMIC

机译:一种数据驱动的大流行方法

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As the business environment grows more complex and the velocity of change increases, leading organizations are accelerating their digitization journeys to shore up foundations for data analytics. The race for the adoption of data analytics has been under way for years, but strengthened digital disruptors such as technological advancements and improved data accessibility, when paired with the COVID-19 pandemic, have, in just a few short months, catapulted an increasingly data-driven world forward a few years to data reliance and optimization. COVID-19 has cast a nearly insufferable strain upon every facet of our society, undoubtedly influencing the way we will live, interact, and conduct business for decades to come. And, in a time when agility and resilience are necessary norms, companies that had already embraced data analytics found themselves positioned to combat the disease and its consequences with data. It has never been more urgent for businesses to adopt data analytics. Insights from data analytics are required to surpass, or, in some instances, merely remain on par with, competitors. Companies leveraging data analytics in response to the pandemic have already progressed along the path to digitization by establishing a data ecosystem-the infrastructure, applications, and analytics needed to drive business intelligence, generate insights, and inform strategic decision making. When overlaid with data governance, these businesses are able to benefit from the integration of data from multiple platforms and implement digital strategies that include data lakes, cloud computing, the Internet of Things (IoT), Big Data, and natural language processing, among others.
机译:由于商业环境增长了更复杂,更改的速度增加,领先的组织正在加速他们的数字化旅行,以便跨越数据分析的基础。采用数据分析的比赛已经在多年的方式下,但加强了数字破坏者,如技术进步和改进的数据可访问性,当与Covid-19大流行相结合时,在短短几个月内,弹射越来越多的数据 - 向世界向前往往到数据依赖和优化。 Covid-19在我们社会的各个方面施放了几乎难以置信的压力,无疑会影响我们将界限,互动和开展业务的方式。并且,在敏捷和恢复力是必要的规范中,已经接受了数据分析的公司发现自己定位为对抗这种疾病及其对数据的后果。企业从来没有更迫切地采用数据分析。从数据分析的见解需要超越,或者在某些情况下,仅适用于竞争对手。利用数据分析的公司通过建立数据生态系统 - 驾驶商业智能,生成见解所需的基础设施,应用程序和分析,已经沿着对大流行的响应进行了数字化的路径。当覆盖有数据治理时,这些企业能够从多个平台上的数据集成,并实现包括数据湖泊,云计算,事物互联网(IOT),大数据和自然语言处理的数字策略。

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