The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.
Courtlyn
Promotion and Events Specialist
June 8, 2022
6 weeks, online
4–6 hours per week
US$2,600 US$2,392 or get US$260 off with a referral
Our participants tell us that taking this program together with their colleagues helps to share common language and accelerate impact.
We hope you find the same. Special pricing is available for groups.
The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.
Courtlyn
Promotion and Events SpecialistBased on the information you provided, your team is eligible for a special discount, for Product Analytics - Drive Value from Product Data starting on June 8, 2022 .
We’ve sent you an email with enrollment next steps. If you’re ready to enroll now, click the button below.
Have questions? Email us at group-enrollments@emeritus.org.The success of a product incorporates learning from all stakeholders and data touchpoints in the ecosystem. For those seeking an analytical approach to enhance the success of their product and measure performance, the Product Analytics - Drive Value From Product Data program by Kellogg Executive Education will empower you to leverage product data and put it to use for your organization.
This program will guide you through a data journey from raw data to useful analytics and, ultimately, to heuristic automations using machine learning and artificial intelligence to find differentiated value for scaling your organization. As a participant, you’ll gain the frameworks, tools, and direct experience to become an effective executive data manager for your organization—no matter what your role is or whether you work in a large corporation or a smaller technology start-up firm.
The global product analytics market is expected to reach a compound annual growth rate of 21.3% in the five-year period between 2021 and 2026, growing from $9.6 billion to $25.3 billion.
Data-driven organizations are 23 times more likely to acquire customers, six times more likely to retain customers, and 19 times more likely to be profitable.
By the end of the program, you’ll be able to:
This six-week online program is ideal for:
The program may also be valuable for:
Live Faculty Webinars
Case Studies
Real-World Application Exercises
Global Network of Collaborators
Dedicated Program Support Team
Live Office Hours
Peer Learning Feedback
Mobile Learning App
Over the course of six weekly modules, you will journey through product data analysis and learn to develop strategic advantages by leveraging data in your organization.
Your data journey begins by exploring different types of data, the importance of data collection and workflows, and how to establish a data-driven culture. This module sets the foundation for you to establish a product data mindset so that you can achieve organizational outcomes.
In this module, you will analyze and apply two key frameworks for your data strategy that will help you develop a data mindset and move toward your data vision. Our Product Analytics Needs Framework and Double Diamond Product Process provide a roadmap to achieving organizational outcomes.
Identify research data that will serve as evidence for making decisions. Examine how powerful your product data is for your organization, as well as how you will collect product data and why the data is needed.
Delve into the classification and analytics stages of our Product Analytics Needs Framework and learn how organizing data into categories becomes vital with respect to compliance and security.
Graphic displays of data are a powerful tool for gaining insights and conveying complex information. Learn how you can use visuals to identify trends and clusters, spot patterns, and present results.
Create a machine learning heuristic from a hypothesis statement to turn your work into an algorithm that can be used by your company to create value.
Your data journey begins by exploring different types of data, the importance of data collection and workflows, and how to establish a data-driven culture. This module sets the foundation for you to establish a product data mindset so that you can achieve organizational outcomes.
Delve into the classification and analytics stages of our Product Analytics Needs Framework and learn how organizing data into categories becomes vital with respect to compliance and security.
In this module, you will analyze and apply two key frameworks for your data strategy that will help you develop a data mindset and move toward your data vision. Our Product Analytics Needs Framework and Double Diamond Product Process provide a roadmap to achieving organizational outcomes.
Graphic displays of data are a powerful tool for gaining insights and conveying complex information. Learn how you can use visuals to identify trends and clusters, spot patterns, and present results.
Identify research data that will serve as evidence for making decisions. Examine how powerful your product data is for your organization, as well as how you will collect product data and why the data is needed.
Create a machine learning heuristic from a hypothesis statement to turn your work into an algorithm that can be used by your company to create value.
Through real-world case studies and examples from multiple industries, you'll explore the realities of product analytics and see how theories and frameworks are put into practice.
Examine a farming application where data collected resulted in an improved customer experience.
Discover how qualitative data resulted in a feature that provided significant cost savings.
Apply your knowledge of generating data into analytics via this example of an accident detection platform from Apple aimed at reducing the increasing frequency of traffic accidents in the U.S.
See how machine learning can be applied to improve the customer experience.
During the course of this program, you will build a Product Requirements Document (PRD) that can be used to apply your learnings in your own organization. A PRD functions as a high-level artifact that:
Personalized feedback will be provided on two of the 14 assignments in the PRD.
Birju Shah
Clinical Professor of Marketing, Kellogg School of Management; Ex-head of Global Uber AI & ML
Birju Shah has built more than 10 products that are used by 2 billion people worldwide with an attributed total market cap value of over $3 billion. He started and sold his own companies, worked at large tech organizations at early and mature stages, and turned tech organizations around via private equity buyouts. You can use most of his products today. His approach to launching and evolving products starts with a foundation of data-driven decision making and product analytics.
Most recently, Mr. Shah was a data and product guru at Uber, where he served as the head of healthcare as well as the head of product for ML/AI. He is currently the CPO of Redesign Health, a think tank that launches new age healthcare companies; president of SabantoAg, an autonomous tractor company; and founder of Loam Protocol, a cryptocurrency for climate change. Mr. Shah graduated from Northwestern University in Industrial Engineering and obtained his MBA at MIT Sloan School of Management, where he was a Legatum and a McGovern Scholar.
— Leigh Garrison, Clinique LLC (Former)
— Nick Jordan, Narrative I/O, Inc
— George Shaw, Pathr.ai™
Upon successful completion of the program, Kellogg Executive Education grants a verified digital certificate of completion to participants.
Download BrochureFlexible payment options available.
