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Big Data and IT Projects - Comparison of Their Success Rate and Complexity

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24310%2F21%3A00008871" target="_blank" >RIV/46747885:24310/21:00008871 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Big Data and IT Projects - Comparison of Their Success Rate and Complexity

  • Original language description

    The pressure to process data increases with its quantity. The amount of data increases exponentially every year. According to estimates, in 2020 it should reach the size of almost 59 ZB. This growth trend will undoubtedly continue in the future. The estimated amount of data generated in 2025 is 175 ZB. In addition to the amount of data, its structure has also been changing. Structured data prevailed before, but now most data is in an unstructured form, and its processing is significantly more complex. Companies have been responding to this and investing in the development and implementation of new technologies for processing diverse data, even in real time. It is Data Science that focuses on this issue, particularly on Big Data processing. However, projects focused on the implementation and development of Big Data solutions often end in failure. Are other IT projects so unsuccessful as well? Are Big Data projects more complex than other IT projects? On what aspects does the successful outcome of Big Data projects depend? The aim of this article is to answer these questions. The related research included quantitative and qualitative survey focused on experience with Big Data projects. The article compares the results of surveys focused on Big Data and common IT projects, especially in terms of their success and complexity. The survey helps to clarify some of the differences between Big Data and ordinary IT projects.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů