PluralSight.Using.Predictive.Analytics.to.Improve.the.Customer.Journey-BOOKWARE-KNiSO

Section

Appz

Group

KNiSO

Size

841,28 MB

Files

20

Date

2019-10-28

NFO

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                              PROUDLY PRESENTING:
                    
                     Using.Predictive.Analytics.to.Improve.the.Customer.Journey.



				 INFORMATION:

  Date............: 2019-10-23
  Rars............: 18 Rar Files
  Course Length...: 2 hrs 51 mins
  Website.........: https://www.pluralsight.com/courses/using-predictive-analytics-improve-customer-journey

			      Release Notes...:
                                                                              
    A recent survey showed that 89% of companies want to use
    predictive analytics to improve their business. One of the
    biggest problems in the realm of Big Data is now that
    organizations have built teams to generate all these
    analytics - they’re struggling to figure out what to do with
    it.   In this course, Using Predictive Analytics to Improve
    the Customer Journey, you'll learn how to address this
    problem by harnessing Big Data in a way that leads to
    real-world benefits.   First, you'll learn what predictive
    customer analytics are, how they are generated, and why they
    are valuable for making sure your products, customer
    experience, and websites don’t fall behind. Next, you’ll
    explore how to use customer journey mapping to spot hidden
    opportunities (as well as “pain points”) that need to be
    addressed. Finally, you’ll meld predictive analytics with
    journey mapping to reveal how you can improve your products
    and increase customer satisfaction.   At the end of this
    course, you not only will be able to build data-informed
    visualizations that improve UX and boost sales, but you’ll
    also gain insights that will help you better manage teams
    comprised of both data geeks and design nerds.

			      Install Notes...: 
			 Unrar, Learn and Enjoy!                                                                            
                                                     
                         
			      GREETINGS:

 - KNOWN - HONOR - SKIDROW - DARKSiDERS - DAUDiO - JAVSiDERS - dbOOk - z0ne -
        

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