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Big Data Concept in Small and Medium Enterprises: How Big Data Effects Productivity

  • Ahmet Tezcan TekinEmail author
  • Nedime Lerzan Ozkale
  • Basar Oztaysi
Conference paper
Part of the Lecture Notes in Management and Industrial Engineering book series (LNMIE)

Abstract

The topic of data mining is a popular subject, especially nowadays. Data mining is a process which accesses the information among large-scale data and mine the knowledge. The most widespread use in the literature is to process large amounts of data automatically or semi-automatically to find meaningful patterns. Depending on the pace of the spread of Internet usage, digital media takes the place of traditional media, so the number of textual forms in digital media is increasing day by day. For this reason, text mining techniques should be used for text review. Such as text mining, data mining, machine learning technologies are related to the big data concept, and these technologies are used for increasing productivity in too many areas. According to the analysis in the United Kingdom and the United States, companies adopting decision-making based on data have been observed to be 5–10% higher in output and productivity than firms using only information technology components such as software products. So, even if small and medium enterprises can adopt these technologies in their life cycle can gain more productivity and economic profit in their areas.

Keywords

Big data Text mining Recommendation systems Economic impact of big data 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Ahmet Tezcan Tekin
    • 1
    Email author
  • Nedime Lerzan Ozkale
    • 1
  • Basar Oztaysi
    • 1
    • 2
  1. 1.Management Engineering Department, Management FacultyIstanbul Technical UniversityIstanbulTurkey
  2. 2.Industrial Engineering Department, Management FacultyIstanbul Technical UniversityIstanbulTurkey

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