Business Analytics and AI: From Data to Decisions

Data Is Driving the Future of Business

From the beginning, this program grounds your understanding of business analytics in the real world by citing actual business cases, not just theoretical applications. In this module, we introduce the AI-centric operating model and how to leverage its four components to achieve scale, scope, and innovation.

This module is all about data: how to access it, process it, transform it, and make it AI-ready. We will also introduce the concept of data visualization and learn some of the best practices for accomplishing it.

In this module, you will learn how to exploit patterns in historical data to forecast future events using predictive analytics, a key tool for identifying risks and opportunities. We will also examine the scope of supervised learning in business using several examples.

Continuing our discussion of supervised learning and predictive analytics, in this module, we introduce state-of-the-art AI techniques to enable data-driven decision making.

In this module, we switch to unsupervised learning, which can help you group and cluster data more effectively. The wide range of business applications includes everything from customer segmentation to detecting fraudulent transactions.

Here, we explore the ways that AI-centric businesses use reinforcement learning for recommender systems, web advertising, stock trading, healthcare, and many other applications. The computer performs a succession of trial-and-error interactions within a dynamic environment to try to determine which approach is best.

In this module we learn how businesses develop experimentation platforms that enable them to run many tests at high velocity, which in turn allows them to learn, adapt, innovate, and make sound business decisions even in times of uncertainty.

We will first discuss some concerns associated with the use of machine learning in prescriptive analytics, and how this might affect our business strategies moving forward. We will then discuss data protection and privacy, which will continue to be an important consideration in the world of Big Data. We will not only present some best practices associated with data protection, but also outline steps for developing a more general data strategy.

The two-month Business Analytics and AI: From Data to Decisions program culminates with a capstone project in which you solve a real-world business problem using an AI-centric operating model.

Path to Alumni Benefits

Networking and events

Join local alumni chapters or clubs in your region

Participate in the annual Berkeley Haas Alumni Conference

Attend select Berkeley Haas and Berkeley Executive Education Networking events open to the COBE community

Exclusive Berkeley resources

Activate an @haas.executivealumni.berkeley.edu email forwarding address

15% discount on the list price of future eligible Berkeley Executive Education programs.

30% discount on the list price of future eligible programs after completion of your Certificate of Business Excellence.

Public visitor access to select campus libraries and university database services

News and communication

A one year complimentary digital subscription to

California Management Review

Berkeley Haas Alumni newsletter

Berkeley Haas Alumni Jobs e-Newsletter featuring job postings from distinguished employers

Haas Insights offering the latest research and thought leadership from industry speakers and faculty

Note: All benefits are subject to change. The discounts mentioned may not be combined with other promotions or special offers.

Who is This Program For?

Mid- to Senior-Level Managers who want to drive innovation at their organizations by leveraging data-based decision-making models. Representative roles include:

Project Manager

Sales Manager

Finance Manager

Operations Manager

Product Manager

Marketing Manager

Director of Product Marketing

Director of Engineering

Director Strategic Products and Services

Investment Director

Executive Director

Senior Executives and Business Heads who want to better understand the business opportunities that analytics enable, as well as regulations related to data protection and privacy implications. Representative roles include:

Chief Strategy Officer

Chief Executive Officer

Chief Operating Officer

Managing Director

Chief Technology Officer

Chief Information Officer

Founder

Partner

Chief Marketing Officer

Consultants who want to provide client solutions based on the latest data and technology. Representative roles include:

Digital Transformation Consultant

Principal Consultant

Financial Consultant

Management Consultant

Data Analytics and Technology Professionals who want to lay out the road map for analytics and AI initiatives for their organization, with the objective of solving key business problems. Representative roles include:

Data Analytics Manager

Information and Data Systems Manager

Technology Innovation Designer

Data Strategist

Business Intelligence Manager

Analytics Project Lead

Technology Lead

Key Takeaways

This program will position you to:

Align strategy for artificial intelligence (AI) and analytics by capturing data-enabled business opportunities and apply an AI-centric operating model where it delivers real impact and value

Solve real business problems using predictive, prescriptive, and experimental techniques to drive results

Ensure responsible data and AI practices by addressing ethics, privacy, and governance to build trust

Create data-based decision-making models across your organization

Leverage data and experimentation to drive innovation

Better evaluate business analytics approaches and strategies

Develop a virtuous cycle built on user engagement, data collection, algorithm design, prediction, and improvement