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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">jssi</journal-id>
      <journal-title-group>
        <journal-title>Journal of Security and Sustainability Issues</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2029-7017</issn>
      <issn pub-type="ppub">2029-7017</issn>
      <publisher>
        <publisher-name>LKA</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">JSSI331</article-id>
      <article-id pub-id-type="doi">10.9770/jssi.2014.3.3(1)</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Sustainable Development, Big Data and Supervisory Control: Service Quality in Banking Sector</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Fuschi</surname>
            <given-names>David Luigi</given-names>
          </name>
          <email xlink:href="mailto:David.Fuschi@brunel.ac.uk">David.Fuschi@brunel.ac.uk</email>
          <xref ref-type="aff" rid="j_jssi_aff_000"/>
        </contrib>
        <aff id="j_jssi_aff_000">Brunel University, Uxbridge UB8 3PH, London, United Kingdom</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Tvaronavičienė</surname>
            <given-names>Manuela</given-names>
          </name>
          <email xlink:href="mailto:Manuela.Tvaronavičienė@vgtu.lt">Manuela.Tvaronavičienė@vgtu.lt</email>
          <xref ref-type="aff" rid="j_jssi_aff_001"/>
        </contrib>
        <aff id="j_jssi_aff_001">Vilnius Gediminas Technical University, Saulėtekio Av. 11, LT-10223 Vilnius, Lithuania</aff>
      </contrib-group>
      <volume>3</volume>
      <issue>3</issue>
      <fpage>5</fpage>
      <lpage>14</lpage>
      <pub-date pub-type="ppub">
        <day>30</day>
        <month>03</month>
        <year>2014</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>30</day>
        <month>03</month>
        <year>2014</year>
      </pub-date>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>Sustainable development process is affected by contemporary phenomena. Big Data processing inefficiency is detrimental for banks’ activity excellence. The software used for running and handling the interbank network framework provides services with extremely strict uptime (above 99.98 percent) and quality requirements, thus tools to trace and manage changes as well as metrics to measure process quality are essential. Having conducted a two year long campaign of data collection and activity monitoring it has been possible to analyze a huge amount of process data from which many aggregated indicators were derived, selected and evaluated for providing a managerial dash-board to monitor software development. The paper provides insights about the issues related to Big Data processing inefficiencies. Context of sustainable development is being taken into account.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>Big Data</kwd>
        <kwd>banking sector</kwd>
        <kwd>software reliability assessment</kwd>
        <kwd>sustainable development</kwd>
      </kwd-group>
      <kwd-group kwd-group-type="JEL">
        <label>JEL</label>
        <kwd>C81</kwd>
        <kwd>C9</kwd>
        <kwd>F02</kwd>
        <kwd>G10</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
