Customer Intelligence and Analytics for Omni-Channel

Customer Intelligence and Analytics for Omni-Channel, available at $24.99, has an average rating of 4.75, with 55 lectures, based on 46 reviews, and has 274 subscribers.

You will learn about How to create a strategic road map to build a digital, analytics and a customer intelligence capability. The fundamentals of digital marketing, marketing automation, and CRM to attract, retain and deepen customer relationships. Best practices in implementing a Big Data and analytics environment. How and when to use data, analytics, and technology to measure marketing programs and engage customers. Formulate marketing metrics and KPI's to prove the value of marketing programs. To become a good consumer of analytics and data science for marketing and customer engagement. Recommend tools and skills that a firm needs to engage and learn from customers through automation. Artificial Intelligence and other marketing technologies that automate and power Omni-Channel Marketing. Customer Privacy and Preference Fundamentals Demonstrate best practices and trends in: Journey Analytics, Identity Resolution, A/B testing, Open Gardens and Big Data. This course is ideal for individuals who are Marketing , Analytics, CRM, Operations and other business professionals. or Analytics and Digital Professionals and Business Managers (consumers of data, analytics, data science, and automation) through C level executives. or Sales, Customer Experience and other Customer facing professionals. or Anyone who wants to learn more about customer focused analytics and technology. or Anyone who uses data to make decisions. It is particularly useful for Marketing , Analytics, CRM, Operations and other business professionals. or Analytics and Digital Professionals and Business Managers (consumers of data, analytics, data science, and automation) through C level executives. or Sales, Customer Experience and other Customer facing professionals. or Anyone who wants to learn more about customer focused analytics and technology. or Anyone who uses data to make decisions.

Enroll now: Customer Intelligence and Analytics for Omni-Channel

Summary

Title: Customer Intelligence and Analytics for Omni-Channel

Price: $24.99

Average Rating: 4.75

Number of Lectures: 55

Number of Published Lectures: 55

Number of Curriculum Items: 55

Number of Published Curriculum Objects: 55

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

How to create a strategic road map to build a digital, analytics and a customer intelligence capability.

The fundamentals of digital marketing, marketing automation, and CRM to attract, retain and deepen customer relationships.

Best practices in implementing a Big Data and analytics environment.

How and when to use data, analytics, and technology to measure marketing programs and engage customers.

Formulate marketing metrics and KPI's to prove the value of marketing programs.

To become a good consumer of analytics and data science for marketing and customer engagement.

Recommend tools and skills that a firm needs to engage and learn from customers through automation.

Artificial Intelligence and other marketing technologies that automate and power Omni-Channel Marketing.

Customer Privacy and Preference Fundamentals

Demonstrate best practices and trends in: Journey Analytics, Identity Resolution, A/B testing, Open Gardens and Big Data.

Who Should Attend

Marketing , Analytics, CRM, Operations and other business professionals.

Analytics and Digital Professionals and Business Managers (consumers of data, analytics, data science, and automation) through C level executives.

Sales, Customer Experience and other Customer facing professionals.

Anyone who wants to learn more about customer focused analytics and technology.

Anyone who uses data to make decisions.

Target Audiences

Marketing , Analytics, CRM, Operations and other business professionals.

Analytics and Digital Professionals and Business Managers (consumers of data, analytics, data science, and automation) through C level executives.

Sales, Customer Experience and other Customer facing professionals.

Anyone who wants to learn more about customer focused analytics and technology.

Anyone who uses data to make decisions.

Marketing departments have moved to a more customer-centric way of engaging customers.  The organization of the marketing department has shifted from purely a brand, product or channel focus to a stronger role of being the faithful steward of the customer relationship.  Marketers have finally recognized the importance and power of shaping customer interactions and the necessity of creating value for their customers.  To meet this challenge, marketers require a better understanding of customer interactions. 

This applied course helps the marketing, CRM, Sales and Analytics professional develop existing and transformational skills and competencies needed to compete in a more customer-centric digital age.  A strategic intelligence framework will link competencies in customer insights, advanced analytics, artificial intelligence, scenario planning, digital and social media, business intelligence and experimentation together to drive a more relevant Omni-Channel experience for the customer. 

This is a strategy course with a detailed discussion of the “how-to” and execution elements of setting up a digital and analytics nervous system for a firm but emphasizes an overall understanding of the people, processes, and technologies required to build a data-driven customer intelligence function.  The course discusses the types of analytics, data science, AI, and Martech from a managerial/user and consumer perspective but is not a computational math or statistical methods course or a programming course in these disciplines.  The goal is to help marketers, analysts and executives build multi-disciplinary skills, allowing them to connect the dots and be stronger practitioners overall. 

Course Curriculum

Chapter 1: Welcome to Customer Intelligence and Analytics for Omni-Channel

Lecture 1: Instructor's Bio

Lecture 2: Overview of the Course

Lecture 3: Definition of Customer Intelligence

Chapter 2: Data

Lecture 1: Introduction

Lecture 2: Data is the Foundation

Lecture 3: Data Strategy Defined

Lecture 4: Data Strategy and Business Intelligence

Lecture 5: Data Strategy and Governance

Lecture 6: Big Data

Lecture 7: Open Gardens and Data Lakes

Chapter 3: Analytics and Visualizations

Lecture 1: Analytics for Customer Intelligence

Lecture 2: Analytics Governance

Lecture 3: Functions Comprise Analytics

Lecture 4: Business Case for Customer Intelligence

Lecture 5: Types of Analytics

Lecture 6: Journey Management Process

Lecture 7: Marketing Measurement Options

Lecture 8: Setting KPIs & Metrics

Lecture 9: Predictive Analytics

Lecture 10: Randomness

Lecture 11: Types of Analytics and Data Mining

Lecture 12: Optimization Modeling

Lecture 13: Questions for Data Modelers – Part 1

Lecture 14: Questions for Data Modelers – Part 2

Lecture 15: Overview of Common Modeling Techniques

Lecture 16: Differences of Data Science & Statistical Modeling

Lecture 17: Segmentation

Lecture 18: Data Visualization & Monetization – Part 1

Lecture 19: Data Visualization: Design Consideration

Lecture 20: Data Visualization: Design Principles

Lecture 21: Data Visualization – Dashboards

Lecture 22: Data Monetization

Chapter 4: Marketing Automation

Lecture 1: Marketing Automation

Lecture 2: Use Case of Marketing Automation

Lecture 3: Campaign Workflows

Lecture 4: Identity Resolution

Chapter 5: Digital Marketing and Analytics

Lecture 1: Digital Marketing and Analytics

Lecture 2: Evolution from the Internet to Digital

Lecture 3: Types of Digital Marketing

Lecture 4: Internet Media Review: Paid Media

Lecture 5: Video and Viral Marketing

Lecture 6: Web Analytics

Lecture 7: Tag Management/Source Coding

Lecture 8: Tracking/Source Codes: Continuation of Tag Management

Lecture 9: Mobile Marketing and Mobile Analytics

Lecture 10: Social Intelligence: Social Media Analytics

Chapter 6: Privacy and Preferences

Lecture 1: Customer Privacy and Preferences

Lecture 2: Certain Practices are More Consumer Friendly

Chapter 7: Artificial Intelligence in Marketing

Lecture 1: Artificial Intelligence Powered by Big Data

Lecture 2: Artificial Intelligence Powered by Big Data: Part 2

Chapter 8: Current and Future Trends

Lecture 1: Trends in Customer Intelligence and Analytics

Chapter 9: AdditIonal Bonus

Lecture 1: Blueprinting for Capabilities Development

Lecture 2: Analytics Planning and Next Generation Analytics

Lecture 3: A/B Testing in Digital Marketing

Lecture 4: Journey Mapping and Analytics

Instructors

Dr. Tony Branda, M.B.A, PhD
Top Digital Analytics and Marketing Executive, and Educator

Rating Distribution

1 stars: 2 votes

2 stars: 0 votes

3 stars: 4 votes

4 stars: 13 votes

5 stars: 27 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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