000			02268nam a22003017a 4500
005			20230512223911.0
008			220704t xxu||||| |||| 00| 0 eng d
020			_a9780367184834
040			_cCSPC
050	0		_aHD38.7
082	0		_a658.472 _bD262
245	0	0	_aData analytics in marketing, entrepreneurship, and innovation
260			_aOxon : _bCRC Press ; _c2021.
300			_aix, 181 pages : _bfigures, tables ; _c25 cm.
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
500			_aIncludes index,
504			_aIncludes bibliographical references.
520			_aInnovation based in data analytics is a contemporary approach to developing empirically supported advances that encourage entrepreneurial activity inspired by novel marketing inferences. Data Analytics in Marketing, Entrepreneurship, and Innovation covers techniques, processes, models, tools, and practices for creating business opportunities through data analytics. It features case studies that provide realistic examples of applications. This multifaceted examination of data analytics looks at: Business analytics Applying predictive analytics Using discrete choice analysis for decision-making Marketing and customer analytics Developing new products Technopreneurship Disruptive versus incremental innovation The book gives researchers and practitioners insight into how data analytics is used in the areas of innovation, entrepreneurship, and marketing. Innovation analytics helps identify opportunities to develop new products and services, and improve existing methods of product manufacturing and service delivery. Entrepreneurial analytics facilitates the transformation of innovative ideas into strategy and helps entrepreneurs make critical decisions based on data-driven techniques. Marketing analytics is used in collecting, managing, assessing, and analyzing marketing data to predict trends, investigate customer preferences, and launch campaigns.
650	1	0	_aMarketing _xData processing.
700	1		_aMounir Kehal _eeditor
700	1		_aShahira El Alfy _eeditor
940			_aLenie
942			_cBOOK _jCIR 658.472 D262 2021
999			_c12150 _d12150