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Displaying results 1 to 7 of 7.

  1. Assessing the alignment of Philippine higher education with the emerging demands for data science and analytics workforce
    Author: Quismorio, Brenda A.; Pasquin, Maria Antonette D.; Tayco, Claire S.
    Published: December 2019
    Publisher:  Philippine Institute for Development Studies, Quezon City, Philippines

    Rapid advancement in technology has allowed for far-reaching use of data. This has consequently led to an increasing demand for Data Science and Analytics (DSA) professionals. However, recent studies show that such demand is often not met in many... more

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    DS 146
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    Rapid advancement in technology has allowed for far-reaching use of data. This has consequently led to an increasing demand for Data Science and Analytics (DSA) professionals. However, recent studies show that such demand is often not met in many economies. Such DSA skills shortage is claimed to be rooted in the mismatch between the skills the industry demands and the skills academic institutions supply. This mismatch is evident in the Philippines where studies also reveal certain difficulties of current Philippine education and training to meet the level of competencies required to do high-skilled jobs. An indicator of this weak point is the persistent high youth unemployment and underemployment rate in the Philippines where graduates land jobs which their completed education did not intend for them. As the first step in addressing this shortage of industry-ready DSA workers, it is necessary to know the DSA skills demanded by the industry and the DSA skills with which academic institutions equip their students. To do this, the study employed the Analytics Association of the Philippines' (AAP) Professional Maturity Model, which is based on the ten APEC-recommended DSA competencies, as analytical framework. It estimated the current availability of DSA competencies using available data from the Labor Force Survey (LFS) and interviews with companies engaged in analytics activities. Meanwhile, the profiling into four DSA job roles (Data Steward, Data Engineer, Data Scientist and Functional Analyst) of these workers was done with the use of relevant data from online job postings. On the other hand, the current supply for DSA job roles were mainly determined from survey interviews of analytics practitioners and undergraduate program administrators and CHED's databases. [...]

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/240985
    Series: Discussion paper series / Philippine Institute for Development Studies ; no. 2019, 34 (December 2019)
    Subjects: data science and analytics; analytics; digital transformation; skills mismatch
    Scope: 1 Online-Ressource (circa 61 Seiten), Illustrationen
  2. Managing supply chain analytics
    guiding organizations to execute analytics initiatives in logistics and supply chain management
    Author: Herden, Tino T.
    Published: 2020
    Publisher:  Technische Universität Berlin, Berlin

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    Universitätsbibliothek Braunschweig
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    Staats- und Universitätsbibliothek Bremen
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    Universitätsbibliothek Clausthal
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    Fachhochschule Erfurt, Hochschulbibliothek
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    Niedersächsische Staats- und Universitätsbibliothek Göttingen
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    Helmut-Schmidt-Universität, Universität der Bundeswehr Hamburg, Universitätsbibliothek
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    Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky
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    Technische Universität Hamburg, Universitätsbibliothek
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    Bibliothek der Hochschule Hannover
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    Bibliothek im Kurt-Schwitters-Forum
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    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    Zentrale Hochschulbibliothek Lübeck
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    Leuphana Universität Lüneburg, Medien- und Informationszentrum, Universitätsbibliothek
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    Hochschule Magdeburg-Stendal, Hochschulbibliothek
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    Hochschule Osnabrück, Bibliothek Campus Westerberg
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    Hochschule Magdeburg-Stendal, Standort Stendal, Bibliothek
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    UB Weimar
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    Source: Union catalogues
    Contributor: Straube, Frank (AkademischeR BetreuerIn); Ludwig, André (AkademischeR BetreuerIn)
    Language: English
    Media type: Dissertation
    Format: Online
    Other identifier:
    hdl: 11303/11137
    Subjects: logistics; analytics; data science; supply chain management
    Scope: 1 Online-Ressource (circa 312 Seiten), Illustrationen
    Notes:

    Dissertation, Technische Universität Berlin, 2019
  3. Management accounting and the idea of machine learning
    Author: Nielsen, Steen
    Published: [2020]
    Publisher:  Aarhus BSS, Aarhus University, Department of Economics and Business Economics, Aarhus

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Economics working papers ; 2020, 09
    Subjects: Management accounting; machine learning; algorithms; decisions; analytics; management accountant; business translator; performance management
    Scope: 1 Online-Ressource (circa 31 Seiten), Illustrationen
  4. Using predictive analytics to track students
    evidence from a seven-college experiment
    Author: Bergman, Peter; Kopko, Elizabeth; Rodríguez, Julio
    Published: June 2021
    Publisher:  CESifo, Center for Economic Studies & Ifo Institute, Munich, Germany

    Tracking is widespread in U.S. education. In post-secondary education alone, at least 71% of colleges use a test to track students. However, there are concerns that the most frequently used college placement exams lack validity and reliability, and... more

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    Tracking is widespread in U.S. education. In post-secondary education alone, at least 71% of colleges use a test to track students. However, there are concerns that the most frequently used college placement exams lack validity and reliability, and unnecessarily place students from under-represented groups into remedial courses. While recent research has shown that tracking can have positive effects on student learning, inaccurate placement has consequences: students face misaligned curricula and must pay tuition for remedial courses that do not bear credits toward graduation. We develop an alternative system to place students that uses predictive analytics to combine multiple measures into a placement instrument. Compared to colleges' existing placement tests, the algorithm is more predictive of future performance. We then conduct an experiment across seven colleges to evaluate the algorithm's effects on students. Placement rates into college-level courses increased substantially without reducing pass rates. Adjusting for multiple testing, algorithmic placement generally, though not always, narrowed gaps in college placement rates and remedial course taking across demographic groups. A detailed cost analysis shows that the algorithmic placement system is socially efficient: it saves costs for students while increasing college credits earned, which more than offsets increased costs for colleges. Costs could be reduced with improved data digitization as opposed to entering data by hand.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/236699
    Series: CESifo working paper ; no. 9157 (2021)
    Subjects: education; tracking; experiment; analytics
    Scope: 1 Online-Ressource (circa 55 Seiten), Illustrationen
  5. The role of analytics in achieving the sustainable development goal of zero hunger
    Author: Peters, Koen; Fleuren, Hein; Cruijssen, Frans
    Published: 26 March 2024
    Publisher:  CentER, Tilburg University, [Tilburg]

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    VS 37
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Discussion paper / CentER ; no. 2024, 009
    Subjects: Sustainable development goals; zero hunger; analytics; operations research; impact
    Scope: 1 Online-Ressource (circa 49 Seiten), Illustrationen
  6. The Goal-oriented Business Intelligence Architectures Method
    A Process-based Approach to Combine Traditional and Novel Analytical Technologies
    Author: Fekete, David
    Published: 2020
    Publisher:  readbox unipress in der readbox publishing GmbH, Dortmund ; Universitäts- und Landesbibliothek Münster, Münster

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    Source: Union catalogues
    Contributor: Vossen, Gottfried (Akademischer Betreuer)
    Language: English
    Media type: Dissertation
    Format: Online
    Other identifier:
    Series: Wissenschaftliche Schriften der WWU Münster / Reihe IV ; 18
    Subjects: Business Intelligence; Big Data; Unternehmensarchitektur; Datenanalyse; Business intelligence; Betriebliches Informationssystem; Unternehmensarchitektur; Big Data; Engineering Data Management
    Other subjects: (stw)Betriebliches Informationssystem; (stw)Unternehmensarchitektur; (stw)Big Data; (stw)Data Analytics; Array; Array; (BISAC Subject Heading)COM000000; business intelligence; architectures; goal-oriented; big data; technology selection; analytics; Architekturen; ziel-orientiert; Technologieauswahl; Graue Literatur
    Scope: Online-Ressource
    Notes:

    In: Wissenschaftliche Schriften der WWU Münster / Reihe IV

    Dissertation, Universität Münster, 2018
  7. Data in action
    data-driven decision making and predictive analytics in U.S. manufacturing
    Author: Brynjolfsson, Erik; McElheran, Kristina
    Published: [2019]
    Publisher:  [University of Toronto - Rotman School of Management], [Toronto]

    Management in America has become significantly more data-intensive, yet the economic, organizational, and strategic implications of this shift are poorly understood. Working with the U.S. Census Bureau, we developed measures of how manufacturing... more

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    Management in America has become significantly more data-intensive, yet the economic, organizational, and strategic implications of this shift are poorly understood. Working with the U.S. Census Bureau, we developed measures of how manufacturing firms have used data to guide decision making over the past decade. In our large and representative sample, data-driven decision making (DDD) is strongly associated with increased productivity. The benefits attributable to DDD are distinct from those associated with other structured management practices or investment in IT, though the latter is an important complement. Moreover, instrumental variables estimates and timing falsification tests suggest a causal relationship. Implications for firm strategy, however, are nuanced; we find evidence of significant advantages for early adopters of DDD, particularly in the 2005-2010 window, when adoption rates in the sector were lower. Yet we also observe timing-dependent complementarities. The frontier of data-centric practices shifts during our study period, with increased use of predictive analytics becoming the key driver of productivity gains from 2010 to 2015

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    Series: Rotman School of Management working paper ; no. 3422397
    Subjects: data; analytics; productivity; management practices; information technology; data-driven decision making
    Scope: 1 Online-Ressource (circa 49 Seiten), Illustrationen