Kellogg School of Management

Data Strategy for Generative AI Platforms

Kellogg School of Management

Online

Programme Content

Module 1: Your Data Vision: What It Means and Why It Is Valuable

Sets the foundation for you to establish a product data mindset so that you can achieve organizational outcomes.

Your data journey begins with exploring different types of data, the importance of data collection and workflows, and how to establish data-driven culture.

Module 2: Product Data Frameworks and Workflows

You will analyze and apply two key frameworks for your data strategy which will help you develop a data mindset and move towards your data vision

Our Product Analytics Needs Framework and Double Diamond Product Process provide a roadmap to achieving organizational outcomes.

Module 3: Everything Product Analytics: How Do I Execute a

Data-Driven Product?

Identify research data that will serve as evidence for making decisions.

Examine how powerful your product data is for your organization, as well as, methods for collecting different types of product data and why the data is needed.

Module 4: Organizing and Presenting the End Result

Delve into the classification and analytics stages of our Product Analytics Needs Framework.

Organize your data into categories, which is vital for compliance and security.

Module 5: Visualizing Product Analytics

Graphic displays of data can be powerful tools for gaining insights and conveying complex information.

Learn how you can use visuals to identify trends and clusters, spot patterns, and present results.

Module 6: Optimizing and Automating Product Data

Complete your product data journey with optimization and automation.

Create a machine learning heuristic and use an optimization equation to improve your product data and workflows that generate product data insights.

Programme Audience

Product managers and product marketing managers in search of a more analytical approach to enhance the success of their product portfolios
Organizational leaders seeking analytical frameworks to implement in their product functions to measure the development and performance of products
Professionals in business analytics, product analytics, and data science who want to gain an end-to-end understanding of product analytics concepts, tools, frameworks, and applications to offer better insights to business teams
Engineers, technology managers, and user experienceuser interface (UXUI) experts looking for deeper insights for their product work
Entrepreneurs and small business owners who manage product roadmaps for their organization and track product performance metrics

Programme Benefits

Explain the role of data in an organization, as well as its value-added algorithmic functions that help improve product performance
Apply strategic frameworks and tactical tools that form the foundational skills for data analytics
Put your product data skills to work in your organization to help you address specific goals and improve outcomes with a Product Requirements Document (PRD)

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Prashansa Uttam

Programme Advisor

+91 9403890085[email protected]Mon – Fri, 9am – 5pm IST

Kellogg School of Management

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315.502.3308
mailto:learner.successemeritus.org
https://www.kellogg.northwestern.edu
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Data Strategy for Generative AI Platforms | Kellogg School of Management