BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//jEvents 2.0 for Joomla//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
UID:78c852854df8d351da314cd2d865495b
CATEGORIES:Learning phase
CREATED:20180328T085954
SUMMARY:Impact assesment of Big Data analysis
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:<p><span style="color: #000000; font-family: Verdana, Arial, Helvetica, san
 s-serif; font-size: 12px;">Big Data analysis emerged with the availability 
 of powerful algorithms facilitating the extraction, clustering and processi
 ng of large volumes of data. Its full impact on business processes is curre
 ntly the subject of major debates, conferences and papers. Contrary to sing
 le-case scenarios addressing specific Big Data needs that specific companie
 s have, this assessment study is to compile a range of possible application
 s and implementation scenarios in business organizations.</span><br style="
 color: #000000; font-family: Verdana, Arial, Helvetica, sans-serif; font-si
 ze: 12px;" /><br style="color: #000000; font-family: Verdana, Arial, Helvet
 ica, sans-serif; font-size: 12px;" /><span style="color: #000000; font-fami
 ly: Verdana, Arial, Helvetica, sans-serif; font-size: 12px;">The analysis i
 s to provide:</span><br style="color: #000000; font-family: Verdana, Arial,
  Helvetica, sans-serif; font-size: 12px;" /><br style="color: #000000; font
 -family: Verdana, Arial, Helvetica, sans-serif; font-size: 12px;" /></p><ul
  style="color: #000000; font-family: Verdana, Arial, Helvetica, sans-serif;
  font-size: 12px;"><li>a catalogue of typical and possible business applica
 tions of big data analysis and a compilation of typical industry-specific u
 ser cases to be held against cases from the local corporate networks in CZ,
  D, and EST, sharing best practice examples</li></ul><ul style="color: #000
 000; font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 12px;">
 <li>a framework for technology and cost-benefit assessment of big data appl
 ications in business and other organizational processes</li></ul><ul style=
 "color: #000000; font-family: Verdana, Arial, Helvetica, sans-serif; font-s
 ize: 12px;"><li>guidelines for identifying innovation potentials of big dat
 a analysis in business organizations</li></ul><ul style="color: #000000; fo
 nt-family: Verdana, Arial, Helvetica, sans-serif; font-size: 12px;"><li>mod
 els of organizations</li></ul><ul style="color: #000000; font-family: Verda
 na, Arial, Helvetica, sans-serif; font-size: 12px;"><li>a watchlist of rele
 vant legal frameworks on data protection and handling</li></ul><ul style="c
 olor: #000000; font-family: Verdana, Arial, Helvetica, sans-serif; font-siz
 e: 12px;"><li>a definition of academic learning content and elaboration of 
 case studies for transferring best Big Data practice examples into teaching
  modules (to be fed into IO 4 curriculum)</li></ul><ul style="color: #00000
 0; font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 12px;"><l
 i>a catalogue of topics and research questions for PhD-studies and scientif
 ic publications</li></ul><ul style="color: #000000; font-family: Verdana, A
 rial, Helvetica, sans-serif; font-size: 12px;"><li>development of analytica
 l tools (feasibility, implementation scenarios, learning and training conte
 nt)</li></ul>
DTSTAMP:20201231T102139Z
DTSTART;VALUE=DATE:20180101
DTEND;VALUE=DATE:20190301
SEQUENCE:0
TRANSP:OPAQUE
END:VEVENT
END:VCALENDAR