LEADER 00000cam a2200589Ia 4500 
001    ocn876283033 
003    OCoLC 
005    20161029080203.5 
006    m     o  d         
007    cr cnu---unuuu 
008    131108s2013    enka    o     001 0 eng d 
020    9781782179900|q(electronic book) 
020    1782179909|q(electronic book) 
020    |z9781782179894 
020    |z1782179895|q(Trade Paper) 
035    (OCoLC)876283033 
040    REB|beng|epn|cREB|dN$T|dOCLCF|dE7B|dOCLCQ|dOCLCO|dOCLCA
       |dOCLCQ 
049    RIDW 
050  4 QA76.9.D26 
072  7 COM|x021040|2bisacsh 
082 04 005.74|223 
090    QA76.9.D26 
100 1  Pover, Karl. 
245 10 Learning Qlikview Data Visualization :|bvisualize and 
       analyze data with the most intuitive business intelligence
       tool, QlikView /|cKarl Pover ; [foreword by Oleg 
       Troyansky]. 
264  1 Birmingham :|bPackt Publishing, Limited,|c2013. 
300    1 online resource :|billustrations. 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
340    |gpolychrome|2rdacc 
347    text file|2rdaft 
490 1  Professional expertise distilled 
500    Includes index. 
520 8  Annotation|bWhile QlikViews data engine complements our 
       thought processes and gives us the ability to rapidly 
       implement insightful data discovery, we must also learn to
       use proper analytical and data visualization techniques to
       enhance our ability to make data more presentable. 
       Learning QlikView Data Visualization presents a simple way
       to organize your QlikView data discovery process. Within 
       the context of a real-world scenario and accompanying 
       exercises, you will learn a set of analytical techniques 
       and data visualization best practices that you can 
       customize and apply to your own organization. We start our
       data discovery project by reviewing the data, people, and 
       tools involved. We then go on to use rank, trend, 
       multivariate, distribution, correlation, geographical, and
       what-if analysis as we try to resolve the problems of 
       QDataViz, Inc, a fictitious company used as an example. In
       each type of analysis, we employ highlighting, heat maps, 
       and other techniques on top of multiple chart types. Once 
       we have a possible solution, we present our case in a 
       dashboard and use performance indicators to monitor future
       actions. You will learn how to properly create insightful 
       data visualization in QlikView that covers multiple 
       analytical techniques. By reusing what youve learned in 
       Learning QlikView Data Visualization, your organizations 
       future data discovery projects will be more effective. 
588 0  Print version record. 
590    eBooks on EBSCOhost|bEBSCO eBook Subscription Academic 
       Collection - North America 
650  0 Information visualization.|0https://id.loc.gov/authorities
       /subjects/sh2002000243 
650  0 Information visualization|0https://id.loc.gov/authorities/
       subjects/sh2002000243|vSoftware.|0https://id.loc.gov/
       authorities/subjects/sh99001417 
650  0 Visual analytics.|0https://id.loc.gov/authorities/subjects
       /sh2007004134 
650  0 Visual analytics|0https://id.loc.gov/authorities/subjects/
       sh2007004134|vSoftware.|0https://id.loc.gov/authorities/
       subjects/sh99001417 
650  7 Information visualization.|2fast|0https://id.worldcat.org/
       fast/973185 
650  7 Visual analytics.|2fast|0https://id.worldcat.org/fast/
       1743387 
655  4 Electronic books. 
655  7 Software.|2fast|0https://id.worldcat.org/fast/1411640 
830  0 Professional expertise distilled.|0https://id.loc.gov/
       authorities/names/no2015143013 
856 40 |uhttps://rider.idm.oclc.org/login?url=http://
       search.ebscohost.com/login.aspx?direct=true&scope=site&
       db=nlebk&AN=644300|zOnline eBook. Access restricted to 
       current Rider University students, faculty, and staff. 
856 42 |3Instructions for reading/downloading this eBook|uhttp://
       guides.rider.edu/ebooks/ebsco 
901    MARCIVE 20231220 
948    |d20161103|cEBSCO|tebscoebooksacademic new|lridw 
994    92|bRID