Please read the following Harvard Business Review - MIT Sloan Management Review Article: Analytics 3.0.pdf Davenport, Thomas H. Harvard Business Review Vol. 91, Iss. 12, (Dec 2013): 64-72.no plagiaris

**** Analytics 30   Student’s NameDepartmentCourseInstructorDateData ********* **** *** digital ***** of ******** **** ********* has ****** * **** ******* ** *** **** ************ **** **** ********** ********* but **** influencing ********* *************** ********** ********* ******** experiences *** optimizing ******** ********** *** ******* analytics ** ** ********* (2013) ****** ******* insights **** the challenges *** ************* ********* business environments **** significant ******* on ******* ********** Some ** *** ******** issues *********** business ********* ******* ************ in *********** *** ********* **** *** overall ******** ********** complexities in *** management ** big *** emerging **** ******* *** lack ** ******* ********* ** integrate **** into ******** ************** 1Integrating *** **** ********* **** ******** ********** ** one ** the most ********** ******** *** ****** ********** Davenport (2013) ********* that ***** *** integration is ******* *** growth and development * significant ********** ** businesses ******** ** move beyond *** ***** ******** A majority ** businesses consider *** **** analytics to be * supporting ******* ****** than * **** business ******** Data ******** was ****** **** ** ******** *************** ***** data ********* ******** deeply ********* *** ******** **** businesses' *********** ********** *** ********** to influence ************** ********** **************** of **** ********* leads ** poor ******** ********** limiting *** *********** ** ** actual competitive edge in *** ****************** ** the ********** ** *** *** ******** data sources *** ******* challenge affecting ********** ********* ********** *** expected ** adopt ************** ********** to **** * *********** **** including *** *** of ****** ***** ************* ******** behavior *** sensor **** ******* organizations **** ** ********* to ********** *** ******** information **** ****** insights leading ** ************** Companies **** ** Bosch ***** *** Schneider ******** ********** *** ********** of data ********* ***** ****** the *********** ********** ** ****** *********** (Davenport ***** ******** a ******** of ************* **** ******** ** **** ****** techniques ********** ****** data *** **** a challenge *** ** ******* ****** *** **** ********** ********** Ineffective ********** ********* ******** *** likelihood ** data ********* ******** * ********* ****** **** an ***** Poor quality of **** ******* decision-making ********** ******* ** ****** ********** of ******* personnel to ********* **** into ******** operations ** ******* ******** ***** in data ********* ********* ****** ********* that * lack ** ******** or ******* *********** ** assist in the adoption ** ******** ********* **** ******** ******** is * ********* ****** ************* ******* or ******** ********* can help ** ************ ********** ********* ** ***** advanced **** ********* ****** an organization ************* **** **** ************ ** ********** **** analytic ************ ********* ************ ********* ***** on **** ********* *** ******** * ********* *********** that ******* ****** *********** **** ** advanced ********** *** ****** ***** ** impossible to achieve ********* outcomesPart **** article ****** ************* ********** ** ******* the ******** **** ** data ********* ************ *** ********** ** ********** *** organizations The ******* ******* the **** for ********* **** ********* ** product development data-based decision-making ********** and ********* use ** data ********* ************* *** data analytics ** *************** ********* (Davenport ***** ******* ***** ** * need ** ********* **** ********* ** ******* *********** ** ********* ***** ****** ** ******** ******* ********** *** importance of ******** **** ********* ** ******** and ********* ******** ***** **** ******** products *** ******** For ******** features **** ** ************ *************** *** addressing needs in real-time *** ********* ****** *** *********** ********* ********* (2013) **** ********** the **** *** ******** **** ********* ** *** ***** ** ******** practices Data analytics ** *** **** ******* ** * ******** **** *** only ******* ***** *** **** ****** ******************** ** ******** ********** ** ********** ** ********* growth *** *********** ******* **** ********* is **** ********* in ******* ************** ********* *** ******* ******* Employee ********** ************ ** *************** is ********** ********* ****** and commitment ** ******* ******** *** ******** Encouraging * culture ** employee ********** education *** ****** *********** ** **** analytics ******** ******** ******* ****** Data-driven ********* ***** organizations ** ** ********** *** ******** ***** learning outcome ** the **** *** ********* *** ** data ********* The **** ******* ** competitive advantage is *** ************* *** ***** of *********** **** into ************** ********** *** ***** ** ********** and ********* the **** ** ******* ****** ****** ************* ** **** *********** ********** ********** in * ******* ****** ************* **** *** ********** of accessing ********** *** ******** ********** ********* ** ******* or ****** trends are ****** ****** ** attract ********* Continuous ******** and *********** can ********** ********* *** speed ** processing data ** real-time thereby leading to successIn ********** the ******* ****** ** understanding ** the need *** **** ********* the advantages and ********** ** integrating *** outcomes in ******** ********* *** instance the **** ** ******* ********* to integrate knowledge **** ******* design is * ********* ********* ************* Similarly ********** **** as ******** ********** *** ********* ******** ** data ********* *** ********** influence ****** *** ***************************** * * ****** ********* 30 ** *** *** era *** data will ***** ******** products *** 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