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Created by : David LaFontaine
Language : English
Updated : Oct 23, 2019
Duration : 2h 51m
Subtitle : Included
Torrent Contains : 65 Files, 7 Folders
Course Source : https://www.pluralsight.com/courses/using-predictive-analytics-improve-customer-journey
About
This entry-level class offers something for designers and business leaders who want to apply Big Data to solve real-world problems, and for data wizards who want to understand the practical applications for their abstract algorithms and insights.
Description
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.
Level
• Beginner
About Author
David LaFontaine is an author, journalist, digital media consultant, and adjunct professor at the University of Southern California.
Files:
[FreeCoursesOnline.Me] [Pluralsight] Using Predictive Analytics to Improve the Customer Journey [FCO] 0. Websites you may like- 0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url (0.4 KB)
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- How you can help Team-FTU.txt (0.2 KB)
- 01 - Course Overview.en.srt (4.1 KB)
- 01 - Course Overview.mp4 (16.7 MB)
- 02 - Overview and Introduction.en.srt (7.1 KB)
- 02 - Overview and Introduction.mp4 (41.7 MB)
- 03 - Real-world Examples of What Predictive Analytics are Good For.en.srt (11.0 KB)
- 03 - Real-world Examples of What Predictive Analytics are Good For.mp4 (16.7 MB)
- 04 - Breaking It Down - Phases and Steps to Generate Predictive Analytics.en.srt (8.1 KB)
- 04 - Breaking It Down - Phases and Steps to Generate Predictive Analytics.mp4 (16.9 MB)
- 05 - Data Acquisition Phase, Step 1 - identifying a Legitimate Problem.en.srt (9.5 KB)
- 05 - Data Acquisition Phase, Step 1 - identifying a Legitimate Problem.mp4 (21.3 MB)
- 06 - Data Acquisition Phase, Step 2 - Identifying Relevant Data.en.srt (4.8 KB)
- 06 - Data Acquisition Phase, Step 2 - Identifying Relevant Data.mp4 (18.3 MB)
- 07 - Data Acquisition Phase, Step 2, Part 2 - Asking the Right Questions.en.srt (6.5 KB)
- 07 - Data Acquisition Phase, Step 2, Part 2 - Asking the Right Questions.mp4 (6.8 MB)
- 08 - Data Acquisition Phase, Step 3 - Looking for Answers in All the Right Data Sources.en.srt (11.4 KB)
- 08 - Data Acquisition Phase, Step 3 - Looking for Answers in All the Right Data Sources.mp4 (17.6 MB)
- 09 - Data Acquisition Phase, Step 3, Part 2 - Extracting the Valuable Data.en.srt (3.0 KB)
- 09 - Data Acquisition Phase, Step 3, Part 2 - Extracting the Valuable Data.mp4 (15.2 MB)
- 10 - Module Wrap-up and Reality Check.en.srt (10.0 KB)
- 10 - Module Wrap-up and Reality Check.mp4 (24.5 MB)
- 11 - Explaining the User Journey.en.srt (7.3 KB)
- 11 - Explaining the User Journey.mp4 (12.0 MB)
- 12 - Learning Why We Need to Map User Journeys.en.srt (10.2 KB)
- 12 - Learning Why We Need to Map User Journeys.mp4 (35.3 MB)
- 13 - The 5 Steps to Building a Customer Journey Map.en.srt (7.5 KB)
- 13 - The 5 Steps to Building a Customer Journey Map.mp4 (13.8 MB)
- 14 - Picking a Process to Map.en.srt (6.2 KB)
- 14 - Picking a Process to Map.mp4 (12.4 MB)
- 15 - Building a User Persona - What Are the Blanks to Be Filled In.en.srt (12.2 KB)
- 15 - Building a User Persona - What Are the Blanks to Be Filled In.mp4 (22.9 MB)
- 16 - Building a User Persona - Filling in the Blanks.en.srt (10.5 KB)
- 16 - Building a User Persona - Filling in the Blanks.mp4 (18.3 MB)
- 17 - Identifying Alternate User Personas.en.srt (6.8 KB)
- 17 - Identifying Alternate User Personas.mp4 (12.4 MB)
- 18 - Identifying Touchpoints and Mapping Them Using Data.en.srt (11.9 KB)
- 18 - Identifying Touchpoints and Mapping Them Using Data.mp4 (17.7 MB)
- 19 - Discovering the Touchpoints for Your Product or Service.en.srt (13.8 KB)
- 19 - Discovering the Touchpoints for Your Product or Service.mp4 (28.2 MB)
- 20 - Building a Customer Journey Map - Filling in the Blanks.en.srt (15.9 KB)
- 20 - Building a Customer Journey Map - Filling in the Blanks.mp4 (42.3 MB)
- 21 - Mapping an Alternate Journey and Performing a Reality Check.en.srt (15.4 KB)
- 21 - Mapping an Alternate Journey and Performing a Reality Check.mp4 (31.9 MB)
- 22 - Combining Predictive Analytics and Journey Mapping.en.srt (10.5 KB)
- 22 - Combining Predictive Analytics and Journey Mapping.mp4 (39.0 MB)
- 23 - Spotting and Exploiting the Value Hiding in the Numbers.en.srt (8.9 KB)
- 23 - Spotting and Exploiting the Value Hiding in the Numbers.mp4 (25.1 MB)
- 24 - Predicting How to Improve Charo's Journey.en.srt (8.5 KB)
- 24 - Predicting How to Improve Charo's Journey.mp4 (38.8 MB)
- 25 - Closing Out Charo's Journey.en.srt (6.3 KB)
- 25 - Closing Out Charo's Journey.mp4 (15.8 MB)
- 26 - Using Data to Improve a Gift-Buying User's Journey.en.srt (11.3 KB)
- 26 - Using Data to Improve a Gift-Buying User's Journey.mp4 (20.0 MB)
- 27 - Unlocking the Hidden Value of Your Most Valuable Customers.en.srt (9.2 KB)
- 27 - Unlocking the Hidden Value of Your Most Valuable Customers.mp4 (21.1 MB)
- 28 - Incentivizing Your Best Customers to Come Back - and Bring Their Colleagues.en.srt (9.8 KB)
- 28 - Incentivizing Your Best Customers to Come Back - and Bring Their Colleagues.mp4 (63.2 MB)
- 29 - Predicting What You Should Do Next.en.srt (3.6 KB)
- 29 - Predicting What You Should Do Next.mp4 (31.9 MB)
- Exercise Files.zip (298.0 MB)
Code:
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