Each module in this two-month program is designed to help you create a high-level data strategy based on insights from the faculty’s years of experience developing data strategies at dozens of organizations.
Module 1:
Introduction to Data Strategy
Apply a value creation framework with four perspectives to generate insights from data and learn to build data-driven products at scale to execute your data strategy.
Module 2:
Developing a Data Strategy
Learn a practical three-step methodology of contextualization, ideation, and prescription to develop a successful data strategy.
Module 3:
Data Management
Identify frameworks for data architecture, data storage, and data operations; assess the data life cycle; and explore the practical uses of three important categories of data: metadata, reference data, and master data.
Module 4:
Data Governance, Quality, and Security
Assess how data governance ensures that data stays reliable and secure; develop an effective approach to data security; and understand the best practices to comply with privacy regulations, such as GDPR, HIPAA and CCPA.
Module 5:
Data Processes and Technology
Organize data technologies into four categories: data generation and acquisition; data integration and management; data analysis; and data operationalization. Identify the technologies and applications for each step of your data process.
Module 6:
Data Organization and Culture
Gain a high-level view of how to build a culture to enable data-driven decision making in your organization; formally structure your organization to create value from your data; and evaluate the importance of roles such as chief data officer.
Module 7:
Data at the Leading Edge
Look to the future of data, discovering what’s possible in data science, AI, and different analytic approaches that can inform your business decisions and automate processes in ways never before possible, including descriptive and prescriptive modeling.
Module 1:
Introduction to Data Strategy
Apply a value creation framework with four perspectives to generate insights from data and learn to build data-driven products at scale to execute your data strategy.
Module 5:
Data Processes and Technology
Organize data technologies into four categories: data generation and acquisition; data integration and management; data analysis; and data operationalization. Identify the technologies and applications for each step of your data process.
Module 2:
Developing a Data Strategy
Learn a practical three-step methodology of contextualization, ideation, and prescription to develop a successful data strategy.
Module 6:
Data Organization and Culture
Gain a high-level view of how to build a culture to enable data-driven decision making in your organization; formally structure your organization to create value from your data; and evaluate the importance of roles such as chief data officer.
Module 3:
Data Management
Identify frameworks for data architecture, data storage, and data operations; assess the data life cycle; and explore the practical uses of three important categories of data: metadata, reference data, and master data.
Module 7:
Data at the Leading Edge
Look to the future of data, discovering what’s possible in data science, AI, and different analytic approaches that can inform your business decisions and automate processes in ways never before possible, including descriptive and prescriptive modeling.
Module 4:
Data Governance, Quality, and Security
Assess how data governance ensures that data stays reliable and secure; develop an effective approach to data security; and understand the best practices to comply with privacy regulations, such as GDPR, HIPAA and CCPA.
