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Data Warehouses, Decision Support Systems, and Deep Technologies During the Global COVID-19 Pandemic

Author

Listed:
  • Cheryl Ann Alexander

    (Institute for IT innovation and Smart Health, USA)

  • Lidong Wang

    (Institute for Systems Engineering Research, Mississippi State University, USA)

Abstract

Society produces a massive amount of data. Engineers, scientists, physicians, financial officers...

Suggested Citation

  • Cheryl Ann Alexander & Lidong Wang, 2022. "Data Warehouses, Decision Support Systems, and Deep Technologies During the Global COVID-19 Pandemic," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 42(2), pages 33458-33460, March.
    • Handle: RePEc:abf:journl:v:42:y:2022:i:2:p:33458-33460
    DOI: 10.26717/BJSTR.2022.42.006726
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    References listed on IDEAS

    as
    1. Danut-Octavian SIMION & Emilia VASILE, 2017. "Applications For Businesses That Uses Relational Databases:," Internal Auditing and Risk Management, Athenaeum University of Bucharest, vol. 45(1), pages 61-72, March.
    2. Erik Brynjolfsson & Wang Jin & Kristina McElheran, 2021. "The power of prediction: predictive analytics, workplace complements, and business performance," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 56(4), pages 217-239, October.
    Full references (including those not matched with items on IDEAS)

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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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