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QUESTION

1. Instructions part I Read the Application Case 7.8 "Tito’s Vodka Establishes Brand Loyalty with an Authentic Social Strategy” on pages 447 to 449 of your textbook. Then, answer the questions below.

1. Instructions

part I Read the Application Case 7.8 "Tito’s Vodka Establishes Brand Loyalty with an Authentic Social Strategy” on pages 447 to 449 of your textbook. Then, answer the questions below. 

  1. How can social network analysis (SNA) be used in the telecommunications industry? 
  2. What do you think are the key challenges, potential solution(s), and probable results in applying SNA in telecommunications firms?

Part IIRead the "Best Practices in Social Media Analytics” on pages 453 to 455 of your textbook. Then, answer the questions below.

  1. What is meant by social analytics? Why is it an important business topic? 
  2. What is a social network? What is the need for SNA? 
  3. What is social media analytics? What are the reasons behind its increasing popularity? 
  4. How can you measure the impact of social media analytics?

Your response to each of the six questions must be a minimum of 200 words; therefore, the completed assignment must contain a minimum of 1,200 words. All sources used, including the textbook, must be referenced; paraphrased and quoted material must have accompanying citations and be cited per APA guidelines.

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******* ***************** ************************************* ******* ******** *** AnalyticsIntroductionPart ******** ******* analysis ** * field ** **** ********* that ******** ******** *** graph ****** to ********** social ********** *** ***** term ** *** It *** also ** applied ** ******** ******* *** ****** ***** *** telecommunications industry is * ************** ******** that ******** ****** ********* ** *********** ******** The ******** *** ******* ********** **** as **** telecommunications *** ************ is utilized ** ****** * **** ****** of ****************** data ******* ***** ********** ***** ********** involves the ********** ** data **** ********* move **** *** ****** site ** another(Kostić ** ********** ****************** ******** ** ********** with * **** amount of *********** about ***** ********* and ******* ****** ********** ** **** huge **** ** **** **** even ** possible *** ****** networks of ****************** ******** *** ******* with ****** ************ *** ************ *** ******* the *********** ** voice ***** *** *** ********* of ***** *** *********** relationships **** ********** types of ************* *** ************** and **** ** **** makes ******** **** complexSNA ******** *********** ** customer calls to ****** ************* ***** ****** ******** ** information ******* *** *********** **** relation **** ** ****** * different ****** *** difference in weights ** an indication of ********* ***** *** ********* ******** ** ********* ***** ** ****** management ** **** ******* ******* ********* are ******* ***************** ***** ******* ***** groups ** **** ********* while ********* their services2Telecommunications ***** **** ********** in ******* much ***** *** subscribers *** the causes of ******* *** ******* **** of **** ********* ***** ** **** ** predict *** *********** *** *** likely to ***** *** offer *** needed incentives **** ********* can be ****** ** ******* up ****** ******* ***** ******* **** ** the ****** ** ********* *** **** ******* *** *********** to give ******** ****** **** ***** **** **** ***** **** ** assessing why ********* churn *** ***** *** needed ******** ** limit *** number ** ********* *** may ***** ** *** ************************ ****** ******* ********* **** homogeneous *** Almost all networks have ********** kinds of ************ ***** ******* ******** *** ********** associations ******** ** *** ******* ** an ***** in SNA **** association *** ** represented ** ********* * graph Additionally *** ***** should **** ** ** *********** **** ******** **** *** not *********** ********* Therefore ** ******* better outcomes ******** social ************ **** ** ******** *** ***** *********** ** ****************** ************* ** *** ********* ** * ****** to *** ******* of ********* and ***** ******* related to the ********* *** ***** parties *** ******* *** ******* of *** ****** Customer data ** used ** firms ** survey in *** ******* ** *********** ***** ***** **** ** ***** ***** *** ******* ************ ****** rules ***** ****** **** *********** ** **** ****** ** *** Global ***** *** applicable ******** in *** ***** Therefore cybercriminals ***** be punishable **** when **** access the **** ** ********* ******* ****** ** ******* ***** ********** **** **** ** **** ******* ******* *** ******* ************* ********* ********* is *** ********** *** ******** ** statistical digital *********** ** *** online ********* ** users **** * firm **** *** last ***** it *** become * ***** **** ** ******** intelligence ******** ** ********* ******** *** ***** feedback ** ******** ******** Every **** ****** ****** online ***** **** ** ********* ****** may ***** online while trying ** ******** goods ** **** ***** ******** *** **** important ****** **** the **** ***** *** *** *** or a *********** ** ******* tools ** ******* ****** *********** ** an ********* ******** ***** as it ******** ******** **** its ***** advantage ** the ******** ***** **** **** ***** ****** *** know they *** *** social ********* ** ***** ********** **** ***** ** ********* *** *** ** ********** in their goods **** **** ******* **** *** ********* ***** ***** *** **** them popular ** the market ************ ***** can *** data ** the ***** of customers **** ****** ******* and ******* ***** products ** ******* ********* ** ******************* ** ************* analytics can offer much ** *** ******** **** ****** by ***** and this ******* ***** to **** **** decisions * **** large number ** ****** ** on ****** ***** *** their **** ** ******* ** ***** ***** All ***** makes social analytics an ********* topic ** ********** ****** network ** * ******* **** brings ****** ******** ** ***** ********* *** ***** talk ** even make *********** ** ** **** ***** as * ******* community *** *** collaboration ** ******* ****** ***** Social ******** ******** ******* created by ********* ** ******** ** people An example ** * ****** ******* is FacebookSocial network analysis ** **** ** comprehend a ******* ** ******* associations that **** them ** a ******* It **** helps ** ********** society ** identifying key ****** ** *** ******* *** *** ************* ******* the ************** ****** **** ** *** ***** ** **** and gang **** It **** ************ ******** **** ********* ********* *** wider applications to ******* ****** ******** *** ********** ** gangs ************ ****** objective representation ** ******* ********* ** data and ***** ** ******** need *** **** ********* of * gang ******** **** ******** the collection ** **** **** * ******* ***** and *** ************ ** ******** to local ***** ********* responses ******* ******* ** ******* individuals Wider ************ ******** comprehension of ***** **** ***** *** association ** those *** *** **** **** ****** ** gangs ************ SNA ***** *** nature of ********* ******* ** **** collected **** ****** sites ** ******* websites ** *** ***** data ** potential clients ***** ******* *** **** ********* ***** *** **** data ***** ***** *** ***** ******* customers **** the **** ******* ***** ********* their ************ ***** analytics ** *** ******* ** ********** *** ********* *** *********** ****** by ********* ** social networks to ******* the strategic ******* **** by ***** Ease ** ********* the **** *** made ****** ***** ********* **** ********** popularity *** **** *** ** accessed ******* ****** ***** *** ***** ***** *** easy ** ******** The **** has **** almost ********* **** ***** to *** ****** ** capable of ********* *** utilizing *** **** *** popularity *** **** **** increasing due to *** **** ***** ** **** Most ** *** **** is ******* *** **** Thus both *** poor *** **** *** ****** *** **** *** ******* ** ** *** their ***** *** ***** offer **** **** *** get ****** ******* ************** **** strategy ***** **** have a **** range of data ********* ************ ** *** ********** popularity due to availing ** *** *** market ** ****** data on ********* **** ****** ***** *** ****** *** searching *** employment and with such **** ** *** to be **** popular ************ *** ** ****** ***** ********* ****** *** ****** *** **** *** access ** **** ****** ***** **** **** ** ******* ******* ******* ****** media analytics *** thus ****** **** **** on ******** *** ********** Marketers *** **** **** to note ****** ****** ***** can lead to the success ** ***** ********* ******* from the **** ********* *** ************** ***** Song2022) *** ***** benefits **** **** ****** ***** ********* * ******* tool **** *************** ************** *** of ******** ********** *** ********** ***** *** ******* *** impact ** ****** ***** ********* ** example ** * ******** ********** and ********** **** ** **** ******** ** *** **** ********** *** *** new ******* ** Facebook ****** * **** ****** * **** engagement *** *** *** friends in * **** ***** **** *** impact ** **** * 200% ********** *** *** *** ******* within * year ***** **** the ****** ** very **** * 50% ********** *** *** new friends in * **** would mean *** ****** ** **** **** ******* shows a ******** ********** *** ********** **** can easily ** used to measure *** impact ** social media analyticsThoughts ** customers *** also ** utilized ** measure *** ****** of ****** ***** analytics In **** case ** are ********* ** ********* customers ** customers are completely ***** ** *** ******* *** **** to ***** *** right ******** **** ** **** messages **** of **** ** ***** the data *** ******* social ***** ********* *** useful ** **** ********* *** ****** are trying ** **** *** ******* **** ** ***** ***** was ****** to ***** data which led to * **** **** ****** who have ** interest in *** ******* **** the ******** ** ********* *** ***** be ******** ** ******* *** ****** of ****** ***** analyticsReferencesBabcanova Sujanova * CagaAova * HorAakova * ***** ******* Chovanova * (2019)Qualitative and ************ analysis of ****** ******* **** ******** *** brandmanagement ******** ******************************************************************** ****** * * ***** ******* * V ****** ****** ******* ******** *** ***** Predictionin ****************** Using ***** ****** Entropy (Basel ************ 22(7)753– https://doiorg/103390/e22070753Zhang ***** **** * ****** *** Big Data Analytics ********* *** *** *** dataanalytics artificial intelligence (AI) *** ****** media ********* research ********** ****** orientationResearch ********** ***************************************************************

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