Using Predictive Analytics to Improve the Customer Journey

Focused View

David LaFontaine

2:51:03

28 View

01 - Course Overview

01 - Course Overview.mp4

02:38

02 - Generating Predictive Analytics

02 - Overview and Introduction.mp4

04:08

03 - Real-world Examples of What Predictive Analytics are Good For.mp4

06:30

04 - Breaking It Down - Phases and Steps to Generate Predictive Analytics.mp4

04:52

05 - Data Acquisition Phase, Step 1 - identifying a Legitimate Problem.mp4

06:22

03 - Identifying Relevant Data Sources

06 - Data Acquisition Phase, Step 2 - Identifying Relevant Data.mp4

03:19

07 - Data Acquisition Phase, Step 2, Part 2 - Asking the Right Questions.mp4

04:13

08 - Data Acquisition Phase, Step 3 - Looking for Answers in All the Right Data Sources.mp4

07:11

09 - Data Acquisition Phase, Step 3, Part 2 - Extracting the Valuable Data.mp4

02:01

10 - Module Wrap-up and Reality Check.mp4

06:20

04 - Mapping the Customer Journey - Why It Matters and How to Do It

11 - Explaining the User Journey.mp4

04:41

12 - Learning Why We Need to Map User Journeys.mp4

06:41

13 - The 5 Steps to Building a Customer Journey Map.mp4

05:00

14 - Picking a Process to Map.mp4

03:59

15 - Building a User Persona - What Are the Blanks to Be Filled In.mp4

07:58

16 - Building a User Persona - Filling in the Blanks.mp4

07:13

17 - Identifying Alternate User Personas.mp4

04:16

05 - Using Data to Map the Touchpoints

18 - Identifying Touchpoints and Mapping Them Using Data.mp4

07:36

19 - Discovering the Touchpoints for Your Product or Service.mp4

09:13

20 - Building a Customer Journey Map - Filling in the Blanks.mp4

10:56

21 - Mapping an Alternate Journey and Performing a Reality Check.mp4

09:48

06 - Combining Predictive Data and Journey Maps

22 - Combining Predictive Analytics and Journey Mapping.mp4

07:10

23 - Spotting and Exploiting the Value Hiding in the Numbers.mp4

06:13

24 - Predicting How to Improve Charos Journey.mp4

06:18

25 - Closing Out Charos Journey.mp4

04:16

26 - Using Data to Improve a Gift-Buying Users Journey.mp4

07:05

27 - Unlocking the Hidden Value of Your Most Valuable Customers.mp4

06:02

28 - Incentivizing Your Best Customers to Come Back - and Bring Their Colleagues.mp4

06:41

29 - Predicting What You Should Do Next.mp4

02:23

Description

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.

What You'll Learn?

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.

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Data Science

Data Analysis

David LaFontaine

Instructor's Courses

David LaFontaine is an author, journalist, digital media consultant, and adjunct professor at the University of Southern California. David specializes in content strategy, user interface design (UX & UI), and digital media production. His clients include: The Herman Ostrow School of Dentistry, U.S. State Department, Lynda.com, KelbyOne Media, CreativeLive, Wiley Publishing, B3Communications, AssetShield, and Roundabout Entertainment. His expertise in media and technology have earned him invitations to lecture at universities in the U.S., Latin America, and Europe, including at the Institute for the Digital Future of Journalism at the Mohyla University in Kiev, Ukraine, the Nelson Mandala School of Journalism in Addis Ababa, Ethiopia, and at the University Mayor in Santiago, Chile. In 2012, he traveled to Ethiopia as a Fulbright Specialist to training journalists, NGOs and pro-democracy groups in digital media communication skills. David has written or co-authored five books, including Social Media Design For Dummies, Mobile Web Design For Dummies, and the Poison Pen. He has also produced more than 20 hours of online training videos for KelbyOne. His curiosity and willingness to use himself as a human lab rat help him keep up with technology trends, test the latest digital tools, and produce the Sips from the Firehose blog. He is also a freelance writer whose work includes case studies on newspapers and multimedia for the Newspaper Association of America (NAA.org), the World Association of Newspapers (WAN), Advanced Interactive Media (AIM Group), Innovation International Consulting Group, Unity Journalists of Color, the Online News Association (ONA).

Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.