Research Data Science, Data Analytics and Big Data. Discuss its history and how it is being used in decision making today. The submission must be at least 1000 words and an MS Word submission. NOT

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************** ** ***** *** patterns ****** ** well ** ************ ************ ********** to ***** character ** **** as ************* ********** Raghupathi *** ********** ************* ** Data ******* **** ********* *** Huge ******* ******* ** data ******* ********* and huge **** can ** ****** **** ** *** year **** **** * Mathematician ** *** **** **** * ***** *** ****** of ****** ****** ** **** *********** that *** ********* in the Annals of *** ************ ********** predicted *** ****** ** ******* electronic ********* ** **** analytics as * ******* science ** ******** ** ******* et ** (2013) ** ******* about *** ********** ******* ******** *** ********** into ********* The prediction by ***** was not **** before ** occurred ** 1964 **** *** ***** desktop ******** ***** ** Programma 101 *** introduced to *** world *** **** ** data science *** analysis **** *** ********* ** **** time *** **** more ********* **** *** ******* ******** *** data ********* the **** ** *** ** *** year 1981 ************ **** ** International Business Machine ***** that *** founded back ** the **** **** ****** *** first ** ***** ********** data *** ******** ** ****** *** release *** first personal computer ********** ********* **** ********** ** **** decade **** science *** so proponent ******** ********* ** computing ***** ********** of **** *** ***** easier ******* ****** ** al (2012) But *** issue at that ****** *** conversion ** **** same ********* data to ********* and *********** ** *** in *** **** ****** **** *** *********** *********** ************* were being *************** **** ****** ********** so ** ** facilitate conversion ** data **** information and ********* Data was ********* ******** in **** ** ***** ********** **** ***** ** applied ** ******* hypotheses for examination *** **** inquisitive data ******** ** ******** to **** ** ************* **** acquiescent **** analysis By *** end of *** ***** * ******** was *** ** ***** ***** ** ********* Discovery ********* ***** ***** ****** *** first yearly ***** conference ***** for ********* invention *** **** ************ *** 1990s data *** introduced ** ********** and ***** ********* ***** ** ********** ***** data ** *********** to *** ** ** *** ******** ** ******* *** buying ******** of their ******* ****** Russom ****** The **** ********* *** also ******* ** ***** a marketing ******* ************ meant ** influence ******* ** ******** ******** their ******** By the **** 1999 more ************ statistical procedures **** ********* ** work **** ******* **** sets But *** issues underlying the ********* of **** ******* ******** and ********** ** **** data was *********** where the **** ********* was ***** ********** **** ***** ****** ** rows ** well ** ****** ** ******* *** unable ** ******* ****** non-linear *********** ** well ** relationships ******* ********** the ***** ***** ******* *** ****** ****** outline **** ***** *** ******* application ** software ******* ***** ******** to ** *** ******** behind *** ********** ********* **** ******* ** **** ** ***** **** *** ******* *** working ********** ***** in ********** with *** ********** ********** ** is ** the **** **** century **** **** ******** ******** *********** ******* were ********* **** ******* *** ************* as an *********** discipline that ******** multidisciplinary ******** ******* and ****** ** **** computing with **** ****** **** assessment *** pedagogy ** *** **** ** *** the **** 2013 large data *** ******** **** ************* such ** IBM ********* **** ****** percent ** *** globe’s **** *** ********* ** * **** of *** ******** **** ******* ***** **** *** **** ********* are **** ************ ********** *** Aalst (2016) identifies that data ******* has **** useful in ********** **** ** ******** ******** ****** *************** ** **** ** ******* ************** ** *** recent *********** of ********** ** ******** searches *** engines ***** the **** ******* ********** to ***** *** best outcomes *** search queries ****** secondsRecommender ******* apply data ******* *** only to **** ********* ******** **** ***** ******** ** products ******* *** **** to add user ********** According ** ********** *** ********** ****** ** *** **** a vital ****** ***** ********** ** promotion of ***** ******** ** well as *********** ** conformation **** *** ******* ** *** users *** ******** ** ******* * ****** ** ******* and ******* (2013) **** ******* has been the ******* force ** the ******* advertisement The ***** ******* ****** ***** applies *** **** ******* algorithm **** ** **** ******* ******* to ******* ********** ** ** *** ****** *** ***** *** ******* ******* *** **** *** ********* ****** click-through-rate **** ***** previous ***************** *********** *** ****** (2015) depict **** big **** is highly used ** financial ******** ******** ** banks ********* ********* ********** ************ *** other private ****** ********** ********** All ***** ************ ***** ****** issues *** **** is ********** ** ***** amounts ** multi-frame ****** **** ******** ** several ********* ********** only solved ** *** data ** ** is ******* ** fronts **** ********** ********* operational ********* ***** ********* *** ******** *********** *********** ** ************ *********** ****** ****** ********** that big **** has **** essential ** *** telecommunication ******* providers ** ** **** **** ** retaining ******* and ********** the scope ****** *** ******* ********** ***** ** ** *** the capability ** ********* *** ******* *** ******* of client-generated **** ** well ** *************** data ********* on a ***** ******** **** *** **** *** ****** ***** **** ***** ********** ************* *** ******** ** today *** ***** *** Mortar has been *** answer **** ***** *********** advantage ** ******** ******* comprehension of clients ****** ** ** to serve **** LaValle ** al (2011) **** that it ***** upon *** ********** to ******* *** the *********** data ************ that ********** **** **** ** * ***** ***** ********* *** ****** ***** credit card **** ******** *********** **** ******* ******* **** *** *********** ******************* and ********** ****** ** a ***** ********** **** ** ** *********** **** in *** ****** **** ** ***** *** ** the **** **** optimize ******* treatment patient **** ** **** ** ***** ******* in the ********* ** those health centers ** *** **** ************ **** **** ********* could ***** *** ******* ********** gain capable of producing ** least ***** ******* ** ******* ** ********** ***************** *** ********** ****** add that **** ********* has ******* *** capability ** ******** *** buying ********* *** ****** and other ****** ***** data ******** Sights **** *** ********** *** ***** ********* into *** ********** *********** and ******* ************ travel recommendations *** **** be delivered by **** ********* based on social ***** dataConclusionData ******* **** ******** and big **** **** **** ********** ********* ***** the 1960s **** *** ***** ******** systems **** ***** developed **** time they have **** facilitated ** ************** *** **** ******* analytical and **** **** **** led ** uprising ** ************ such ** Data ********* ***** ********** ******* to ****** ***** data **** ******** ******* ***** *** ***** ********** ********** ********* it ** evident enough ** ******** that data ********* *** data *** data ******* are ***** *********** ** ********** ********** *** ********** **** analytics can be traced in *** health **** *** ****** *** **** ** **** in *** ********* ** customers ********** ***** *** operations ******* **** ******* ** used currently ** the ******** ****** ******* ******* advertisements *** ******* ** *** recommendation systems of ***** ******** **** Amazon           ReferencesEmerson * * ***** * A ********* * ******* * **** * Hofmann * ***** Wickham * ****** The *********** ***** **** ******* ** ************* *** ********* Statistics ***** ************ A & ****** * ****** Beyond *** ***** *** data ******** ******* *** ********* ************* ******* ** information ********** ***** ************** * ****** * Shockley R ******* * * ***** ********** N ****** *** data ********* *** *** **** **** ******** ** ***** MIT ***** ********** ****** ***** 21-32McAfee * ************ * ********* * * ***** * * & ****** * (2012) *** ***** *** ********** ********** ******* ******** ****** ****** ************ * ***** ******* * ****** **** ******* *** *** relationship ** *** data *** *********** ******** ****** Big **** **** 51-59Raghupathi * & ********** * ****** *** **** ********* ** healthcare: ******* *** potential ****** information ******* *** ******* 2(1) ******* * ****** *** **** ********* **** **** ********* ****** ****** quarter ***** ******* Der ***** * ****** **** ******* ** action ** ******* ****** *** 3-23) Springer ****** ************

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