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  • 1
    Online Resource
    Online Resource
    Cambridge, MA : MIT Sloan Management Review
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Big data ; Electronic books ; Electronic books ; local
    Abstract: Many people in the information technology world believe that "big data" will give companies new capabilities and value. But companies have been dealing with an exponentially increasing amount of data, and much of it in forms that are impossible to manage by traditional analytics. "Big data" includes information such as call center voice data, social media content and video entertainment, as well as clickstream data from the web. The authors posit that organizations that are learning to take advantage of big data are beginning to understand their business environments at a more granular level, are creating new products and services, and are responding more quickly to change as it occurs. These companies stand apart from those with traditional data analysis environments in three critical ways. First, rather than looking at data to assess what happened in the past, these organizations consider data in terms of flows and processes, and make decisions and take actions quickly. In addition, organizations already involved with big data are taking a lead on hiring - and training - data scientists and product and process developers as opposed to data analysts. And finally, advanced organizations are moving analytics from IT into their core business and operational functions. As big data evolves, a new information ecosystem is also evolving, a network that is continuously sharing information, optimizing decisions, communicating results and generating new insights for businesses.
    Note: Description based on online resource; title from title page (Safari, viewed April 23, 2015)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Wiley | Boston, MA : Safari
    ISBN: 9781119806226
    Language: English
    Pages: 1 online resource (272 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Explore why — now more than ever — the world is in a race to become data-driven, and how you can learn from examples of data-driven leadership in an Age of Disruption, Big Data, and AI In Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI , Fortune 1000 strategic advisor, noted author, and distinguished thought leader Randy Bean tells the story of the rise of Big Data and its business impact – its disruptive power, the cultural challenges to becoming data-driven, the importance of data ethics, and the future of data-driven AI. The book looks at the impact of Big Data during a period of explosive information growth, technology advancement, emergence of the Internet and social media, and challenges to accepted notions of data, science, and facts, and asks what it means to become "data-driven." Fail Fast, Learn Faster includes discussions of: The emergence of Big Data and why organizations must become data-driven to survive Why becoming data-driven forces companies to "think different" about their business The state of data in the corporate world today, and the principal challenges Why companies must develop a true "data culture" if they expect to change Examples of companies that are demonstrating data-driven leadership and what we can learn from them Why companies must learn to "fail fast and learn faster" to compete in the years ahead How the Chief Data Officer has been established as a new corporate profession Written for CEOs and Corporate Board Directors, data professional and practitioners at all organizational levels, university executive programs and students entering the data profession, and general readers seeking to understand the Information Age and why data, science, and facts matter in the world in which we live, Fail Fast, Learn Faster p;is essential reading that delivers an urgent message for the business leaders of today and of the future.
    Note: Online resource; Title from title page (viewed August 31, 2021) , Mode of access: World Wide Web.
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