In 2019, Starbuck Corporation (Starbucks) launched Deep Brew, a platform driven by artificial intelligence (AI) designed to enhance personalization, optimize operations, and manage inventory across its vast global retail network. By leveraging AI, Starbucks aimed to improve customer engagement, streamline store efficiency, and strengthen its data-driven decision-making. However, the adoption of Deep Brew introduced significant challenges, including .....more

Teaching note for product W43339.

This exercise explores the operational and strategic challenges faced by Philanthropy Insight (PI), a Canadian non-profit organization founded by Emily Hayes, which aims to provide donors with information to make informed giving decisions. Despite significant growth in website traffic, PI struggles with chronic underfunding, leading Hayes to continually finance the deficit from her personal savings. The case delves into PI’s data management issues, .....more

Teaching note for product W41292.

Presentation to support product W41292.

Presentation to accompany product W41376.

Presentation to accompany product W39501.

Teaching note for product W36207.

In late 2019, the Mississauga, Ontario–based NetDynamic Consulting Inc. (NetDynamic) faced intricate challenges related to aligning and standardizing enterprise resource planning (ERP) processes on a global scale in a large multinational enterprise while simultaneously safeguarding the distinctive operational nuances specific to each of the company’s local subsidiaries. <br><br>NetDynamic had undertaken the challenge of integrating the .....more

Entity-Relationship (ER) data modelling is a critical technique used by data experts to help design new systems, utilize existing systems, and replace old systems. This note describes the different levels of data modelling, as well as its objectives and benefits, provides a brief history of graphical modelling approaches, and focuses on a particular graphical rule set for creating logical data models called Barker notation.