000			02037cam a2200325 i 4500
001			20147039
003			IIITD
005			20241201020003.0
008			171107s2018 maua 001 0 eng c
010			_a 2017048270
020			_a9781633694286
040			_aMH/DLC _beng _cMH _erda _dDLC
042			_apcc
050	0	0	_aHD30.215 _b.H37 2018
082	0	0	_a658.403 _223 _bHAR-D
110			_aHarvard Business Review
245	0	0	_aHBR guide to data analytics basics for managers : _bunderstand the numbers make better decisions present and persuade _cby Harvard Business Review Press
260			_aBoston : _bHarvard Business Review, _c©2018
300			_ax, 231 p. : _bill. ; _c23 cm
500			_aIt Includes index.
520			_aDon't let a fear of numbers hold you back. Today's business environment brings with it an onslaught of data, but leaving the analysis to others in your company just won't cut it. Now more than ever, managers must know how to tease insight from data--to understand where it comes from, make sense of the numbers, and use those findings to inform their toughest decisions. But how do you get started? Whether you're working with data experts or running your own tests, you'll find answers in the HBR Guide to Data Analytics Basics for Managers. This book describes a three-step process to get the information you need, study the data, and communicate your findings to others. You'll learn how to: Identify the metrics you need to measure Formulate hypotheses and test against them Ask the right questions of your data experts Understand statistical terms and concepts Create effective charts and visualizations Avoid common mistakes--
650		0	_aManagement _xStatistical methods.
650		0	_aQuantitative research.
650		0	_aDecision making _xStatistical methods.
650		0	_aDecision support systems.
650		0	_aInformation visualization.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK _01
999			_c156378 _d156378