LEADER 04174nam 2200709 450 001 9910813918803321 005 20210624024715.0 010 $a1-118-89274-7 010 $a1-118-89271-2 010 $a1-119-20418-6 035 $a(CKB)2560000000148561 035 $a(EBL)1676384 035 $a(SSID)ssj0001181137 035 $a(PQKBManifestationID)11976411 035 $a(PQKBTitleCode)TC0001181137 035 $a(PQKBWorkID)11143674 035 $a(PQKB)10753643 035 $a(OCoLC)869881457 035 $a(DLC) 2014004728 035 $a(Au-PeEL)EBL1676384 035 $a(CaPaEBR)ebr10862620 035 $a(CaONFJC)MIL599754 035 $a(CaSebORM)9781118892749 035 $a(MiAaPQ)EBC1676384 035 $a(PPN)187351937 035 $a(EXLCZ)992560000000148561 100 $a20140505h20142014 uy 0 101 0 $aeng 135 $aurcn#nnn||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAnalytics in a big data world $ethe essential guide to data science and its applications /$fBart Baesens 205 $a1st edition 210 1$aHoboken, New Jersey :$cWiley,$d2014. 210 4$dİ2014 215 $a1 online resource (xv, 232 pages) $cillustrations 225 1 $aWiley & SAS Business Series 300 $aIncludes index. 311 $a1-306-68503-6 311 $a1-118-89270-4 320 $aIncludes bibliographical references and index. 327 $a1. Big data and analytics -- 2. Data collection, sampling, and preprocessing -- 3. Predictive analytics -- 4. Descriptive analytics -- 5. Survival analysis -- 6. Social network analytics -- 7. Analytics : putting it all to work -- 8. Example applications. 330 $aThe guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic. Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics Offers the results of research and the author's personal experience in banking, retail, and government Contains an overview of the visionary ideas and current developments on the strategic use of analytics for business Covers the topic of data analytics in easy-to-understand terms without an undo emphasis on mathematics and the minutiae of statistical analysis For organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities. 410 0$aWiley and SAS business series. 606 $aBig data 606 $aManagement$xStatistical methods 606 $aManagement$xData processing 606 $aDecision making$xData processing 615 0$aBig data. 615 0$aManagement$xStatistical methods. 615 0$aManagement$xData processing. 615 0$aDecision making$xData processing. 676 $a658.4/038 700 $aBaesens$b Bart$0903326 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910813918803321 996 $aAnalytics in a big data world$94055360 997 $aUNINA