Masterclass:Analytics and AI for Marketing: The keys to lead with impactful, sustainable, and ethical data.

The role of data for better marketing is obvious: mastering analytics, offers better market insight, more accurate anticipations, faster and more pragmatic decision-making process. Still, today, organizations struggle to make these promises a reality.

In this master class, we will clear the hype and address the main issues that are preventing leaders to leverage the potential of data. What does it really mean to be data-driven? What can make data fluid and sustainable? What technologies can be put to work to accelerate your processes? How should we lead in a digital world? Understand how machine learning works and how it can be concretely applied to marketing.

Equipped with these foundational skills, we will be able to manage our teams assertively, engage with IT with confidence and start to harvest our first quick wins.

Course Description

This course was created to present the first keys to fast, accurate, and sustainable marketing analytics. Vendor and technology agnostic, it focuses on what professionals should know and how they could apply today to start making an impact with data by providing a holistic view of the domain from a people, data and tech perspective. 

  • Section 1: 6pm-6.45pm
  • Section 2: 7pm-7.45pm

What is the USP for this Masterclass

This masterclass demystifies the jargon, focuses on what matters, and shows what is truly applicable for fast results. It was designed in Silicon Valley and shape by hundreds of hours of research, practice, and workshops with professionals around the world.

 

Who is this Masterclass for

This class is for marketing professionals that want to lead their data projects and teams along a clear, pragmatic, and impactful path. 

21 June 2022,6pm-8pm

Where

Online Via Zoom

Presenter

Gauthier G. Vasseur

Contact

Aoife Moreton

aoifem@mii.ie

Price

€500
Does Not Include Membership

Marketer Pathways Competencies

Marketer Competencies

  • Research
  • Corporate Communication
  • Digital Marketing

Business Competencies

  • Decisions & Judgment
  • Organisational Awareness
  • Planning & Prioritisation

People Competencies

  • Communication & Interpersonal Skills
  • Leadership

Course Trainer

https://mii.ie/wp-content/uploads/2021/09/trainer-speaker-502x275px.png

Executive Director, Fisher Center for Business Analytics, UC Berkeley.

Gauthier Vasseur

Gauthier Vasseur is a data analytics and digital transformation expert. His executive track record spans from large enterprises (Google, Oracle, Hyperion) to bootstrapped, series A and Pre-IPO companies. Gauthier has worked in finance, operations and marketing, building teams, analytics and scalable processes to fasten growth and improve transparency. He has brought his multifaceted experience and emphasis on data analytics into higher education. Gauthier has over six years of experience teaching and training teams to drive efficient and data-driven processes, make the best of technology and become key actors of digital transformation in their own organizations. At the Fisher Center for Business Analytics, Gauthier is spearheading efforts to connect Haas faculty with business leaders to collaborate on the application of data science and analytics to business strategy. is a data analytics and digital transformation expert. His executive track record spans from large enterprises (Google, Oracle, Hyperion) to bootstrapped, series A and Pre-IPO companies. Gauthier has worked in finance, operations and marketing, building teams, analytics and scalable processes to fasten growth and improve transparency. He has brought his multifaceted experience and emphasis on data analytics into higher education.

Gauthier has over six years of experience teaching and training teams to drive efficient and data-driven processes, make the best of technology and become key actors of digital transformation in their own organizations. At the Fisher Center for Business Analytics, Gauthier is spearheading efforts to connect Haas faculty with business leaders to collaborate on the application of data science and analytics to business strategy.

Terms and Conditions

Terms and Conditions apply. Membership is non-transferable and non-refundable. All event and course cancellations must be made 2 weeks prior to the event/course date. Payment is due in advance. Refunds will not be issued for non-attendance.