LEADER 04333oam 2200625 450 001 9910153249503321 005 20230808194306.0 010 $a1-292-01745-7 010 $a1-292-01743-0 035 $a(CKB)3710000000762271 035 \\$a(Safari)9781292017464 035 $a(OCoLC)945741107 035 $a(MiAaPQ)EBC5173526 035 $a(MiAaPQ)EBC5175721 035 $a(MiAaPQ)EBC5833911 035 $a(WaSeSS)IndRDA00116943 035 $a(MiAaPQ)EBC5139164 035 $a(MiAaPQ)EBC6399395 035 $a(Au-PeEL)EBL5139164 035 $a(CaONFJC)MIL942783 035 $a(OCoLC)1024273273 035 $a(EXLCZ)993710000000762271 100 $a20210426d2016 uy 0 101 0 $aeng 135 $aurunu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aKey business analytics $ethe 60+ business analysis tools every manager needs to know /$fBernard Marr 205 $aFirst edition. 210 1$aHarlow, England :$cPearson,$d[2016] 210 4$d©2016 215 $a1 online resource (1 volume) $cillustrations 300 $aIncludes index. 320 $aIncludes bibliographical references and index. 327 $aCover -- Title Page -- Copyright Page -- Contents -- About the author -- Introduction -- PART ONE Bare analytics -- 1 Business experiments/experimental design/AB testing -- 2 Visual analytics -- 3 Correlation analysis -- 4 Scenario analysis -- 5 Forecasting/time series analysis -- 6 Data mining -- 7 Regression analysis -- 8 Text analytics -- 9 Sentiment analysis -- 10 Image analytics -- 11 Video analytics -- 12 Voice analytics -- 13 Monte Carlo simulation -- 14 Linear programming -- 15 Cohort analysis -- 16 Factor analysis -- 17 Neural network analysis -- 18 Meta-analytics - literature analysis -- PART TWO Analytics input tools or data collection methods -- 19 Quantitative surveys -- 20 Qualitative surveys -- 21 Focus groups -- 22 Interviews -- 23 Ethnography -- 24 Text capture -- 25 Image capture -- 26 Sensor data -- 27 Machine data capture -- PART THREE Financial analytics -- 28 Predictive sales analytics -- 29 Customer profitability analytics -- 30 Product profitability analytics -- 31 Cash flow analytics -- 32 Value driver analytics -- 33 Shareholder value analytics -- PART FOUR Market analytics -- 34 Unmet need analytics -- 35 Market size analytics -- 36 Demand forecasting -- 37 Market trend analytics -- 38 Non-customer analytics -- 39 Competitor analytics -- 40 Pricing analytics -- 41 Marketing channel analytics -- 42 Brand analytics -- PART FIVE Customer analytics -- 43 Customer satisfaction analysis -- 44 Customer lifetime value analytics -- 45 Customer segmentation analytics -- 46 Sales channel analytics -- 47 Web analytics -- 48 Social media analytics -- 49 Customer engagement analytics -- 50 Customer churn analytics -- 51 Customer acquisition analytics -- PART SIX Employee analytics -- 52 Capability analytics -- 53 Capacity analytics -- 54 Employee churn analytics -- 55 Recruitment channel analytics. 327 $a56 Competency acquisition analytics -- 57 Employee performance analytics -- 58 Corporate culture analytics -- 59 Leadership analytics -- PART SEVEN Operational analytics -- 60 Fraud detection analytics -- 61 Core competency analytics -- 62 Supply chain analytics -- 63 Lean Six Sigma analytics -- 64 Capacity utilisation analytics -- 65 Project and programme analytics -- 66 Environmental impact analytics -- 67 Corporate social responsibility (CSR) analytics -- Index. 330 $aKey Business Analytics will help managers apply tools to turn data into insights that help them better understand their customers, optimise their internal processes and identify cost savings and growth opportunities. 606 $aBenchmarking (Management) 606 $aBusiness planning 606 $aPerformance 606 $aManagement$xStatistical methods 615 0$aBenchmarking (Management) 615 0$aBusiness planning. 615 0$aPerformance. 615 0$aManagement$xStatistical methods. 676 $a658.4013 700 $aMarr$b Bernard$0599713 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a9910153249503321 996 $aKey business analytics$92895929 997 $aUNINA