000			01921nam a22002897a 4500
003			NUBALIWAG
005			20240722080923.0
008			240722b ph ||||| |||| 00| 0 eng d
020			_a9781633694286
040			_cNUBLRC
050			_aHD 38.7 .H37 2018
245			_aHBR guide to data analytics basics for managers.
260			_aMassachusetts : _bHarvard Business Review Press, _cc2018.
300			_ax, 231 pages ; _c23 cm.
365			_bPHP 999.00
504			_aIncludes index.
505			_aSection One. Getting Started.--Section Two. Gather the Right Information.--Section Three. Analyze the Data.--Section Four. Communicate Your Findings.
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			_aMANAGEMENT _xSTATISTICAL METHODS.
650			_aQUANTITATIVE RESEARCH.
650			_aDECISION MAKING _xSTATISTICAL METHODS.
650			_aDECISION SUPPORT SYSTEMS.
650			_aINFORMATION VISUALIZATION.
650			_aBUSINESS INTELLIGENCE.
650			_aDATA MINING.
942			_2lcc _cREF _n0
999			_c723 _d723