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Analytics in sentence

102 examples of Analytics in a sentence

A recent McKinsey Global Institute study identifies five mutually reinforcing “game changers” that could have a significant effect on GDP growth, productivity, and employment in the US by 2020: shale energy, big-data analytics, exports in knowledge-intensive industries, infrastructure investment, and talent development.
Two of these – shale energy and big-data analytics – build on ongoing technological breakthroughs in which the US has a strong lead and depend primarily on private-sector action, not macroeconomic or structural policies.
Big data and advanced analytics are another technology-driven game changer for US growth.
Big data and advanced analytics can also reduce costs and enhance efficiency in health care and government, and can create value for consumers through greater product variety and quality, as well as enhanced convenience – benefits that are not captured in GDP statistics.
McKinsey estimates that big-data analytics could add about $325 billion, or 1.7% to annual GDP in the retail and manufacturing sectors, while generating up to $285 billion in productivity gains and cost savings in health care and government by 2020.
From President Xi Jinping and Premier Li Keqiang on down, China’s new leadership team is quite sophisticated in terms of analytics, risk assessment, scenario modeling, and devising innovative solutions to tough problems.
There will be more demand for software programmers, engineers, designers, robotics experts, data analytics specialists, and myriad other professional and service-type positions.
Engineering a More Responsible Digital FutureZURICH – The world is being battered by technological disruption, as innovations such as big data analytics, artificial intelligence (AI), robotics, the Internet of Things, blockchain, 3D printing, and virtual reality change how societies and economies work.
Innovation, production, and sales are all being transformed by technology platforms, data analytics, 3D printing, and the so-called Internet of Things (IoT).
Analyses by the Tax Policy Center, the Tax Foundation, and Moody’s Analytics all indicate that federal budget deficits under Trump’s economic plan are headed back toward at least 7% of GDP over the next ten years.
In this environment, fluency in data management and analytics will be vital for successful organizations.
The disruptions resulting from the new crucible of data and analytics are spreading across both the public and private sectors.
Governments, too, are sensing that data analytics can change their global standing.
Singapore, for example, has a ten-year master plan that focuses on the development of a robust information and communications industry, including data analytics.
And yet, though many organizations recognize the importance of data analytics, there is wide variation in how aggressively they have moved to embrace it.
Early adopters, such as Amazon and Tesco, which quickly built up the requisite talent bases and experience, are now shifting gears to maximize the impact of analytics on their organizations (that is, exploring disruptive opportunities).
Tapping the potential of data analytics requires deep pools of advanced technical expertise.
To be sure, workers skilled in data management and advanced analytics are in short supply, as are members of an emerging class of “translators” – those whose talents bridge IT and data, analytics, and business decision-making.
Universities are quickly adapting to meet the swelling demand, and many have launched interdisciplinary programs that combine analytics and business expertise.
Rapid advances in technology are also making it easier to realize the impact of analytics.
With expanded data, companies can use predictive analytics to identify the best candidate for a given role.
In fact, an entirely new field of study is emerging at the intersection of data analytics and sociology: computational social science.
Big Data, Big New BusinessesLONDON – Many people have long believed that if government and the private sector agreed to share their data more freely, and allow it to be processed using the right analytics, previously unimaginable solutions to countless social, economic, and commercial problems would emerge.
Moreover, policymakers must view comparative advantage dynamically, rather than in terms of traditional comparative static (“before and after”) analytics.
Others would benefit from moving beyond basic digitization to next-generation technologies, such as big-data analytics.
But experience and intuition can be supplemented by analytics, which is the purpose of my book.
As the Internet expands into new realms of physical space through the Internet of Things, the price of anarchy will become a crucial metric in our society, and the temptation to eliminate it with the power of big data analytics will grow stronger.
Likewise, an attorney’s knowledge of the personalities of the principals in a civil suit or a criminal case can be combined with big data and analytics when the time comes for jury selection.
Indeed, shale energy and big-data analytics, two areas in which the US has a strong competitive edge, could be significant supply-side “game changers” for growth.
To be sure, the application of social analytics to the world of research and scholarship may yet provide important insights that make it easier to assess a scholar’s “true” contributions.
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