000			01591nam a22002897a 4500
999			_c187228 _d187228
003			PILC
005			20170503130031.0
008			170307b xxu||||| |||| 00| 0 eng d
020			_a9780128006351
040			_cJRU Library _erda _beng
082			_a006.31201422 _b.F919 2015
100			_aFritz, Mike _eauthor. _9123808
245			_aImproving the user experience through practical data analytics : _bgain meaningful insight and increase your bottom line /
264			_aAmsterdam, United Kingdom : _bMorgan Kaufmann is an imprint of Elsevier, _cc2015.
300			_axxii, 374 pages : _billustrations (black and white) ; _c24 cm
336			_atext
337			_aunmediated
338			_avolume
500			_aIncludes index.
520			_a"Improving the User Experience through Practical Data Analytics show you how to make design decisions based on data-not hunches. The authors help the UX (User Experience) researcher recognize the enormous potential of user data that is collected as a natural-by-product of routine UX research methods, such as moderated and unmoderated usability tests, surveys, task analyses, card sorting, contextual inquiries, interviews, focus groups, and more. Then, step-by-step, they explain how to utilize both descriptive and predictive statistical techniques to gain meaningful insight with that data." --Provided by publisher.
521			_aAdult
546			_aText in English
650		0	_965703 _aData mining.
650			_aQuantitative research. _990680
700			_aBerger, Paul D., _eauthor. _9123809
942			_2ddc _cPT