000			01801nam a22002177a 4500
999			_c1326 _d1326
005			20211012100126.0
008			211012b ||||| |||| 00| 0 eng d
020			_a9788131527887
082			_a658.4012 _bRAJ
100			_aRaj, Sahil _94030
245			_aBusiness analytics
260			_bCengage Learning India Pvt. Ltd. _aNew Delhi _c2018
300			_axv, 422 p.
365			_aINR _b525.00
504			_aTable of Content 'Chapter 1 Business Analytics Chapter 2 Moving Ahead with Analytics Chapter 3 Unstructured Data Analytics Chapter 4 Data Warehouse Chapter 5 Relational Data Modelling Chapter 6 Multi-dimensional Modelling Chapter 7 Extraction, Transformation and Loading (ETL) Chapter 8 OLTP and OLAP Chapter 9 Key Performance Indicators Chapter 10 Predictive Analytics Chapter 11 Data Mining Chapter 12 Emerging Analytics Appendix 1 Toothworks Appendix 2 QOWL Index
520			_a'In the present competitive era, managers cannot rely on their gut feelings to take relevant decisions. Taking decisions based on proper analysis of data is the need of the hour. But considering the fact that the organisations are now collecting huge volumes of data and that too in different formats, it is high time that future managers had analytical abilities. Moreover the future managers should cease assuming business analytics as the domain of computer experts or statisticians, rather it is the core of each and every type of functional area of management. Without analytics, it is not possible for managers to analyse the voluminous data and take relevant decisions. This book will embark your journey to the fascinating world of Business Analytics.
650			_aManagement--Statistical methods _91037
650			_aStrategic planning _9291
650			_aBusiness planning _9967
942			_2ddc _cBK