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Data cleaning, data preparation, and model development are the crucial steps in data analytics. The first two steps aim to improve data quality for higher accuracy, improved productivity, and better efficiency in modelling and obtaining results. The last step, model development, seeks to improve accuracy of prediction, especially in predictive modelling. In this technical note, we use a sample to illustrate how to work with a multivariate dataset in Python. This dataset’s massive number of variables requires different approaches to data cleaning, preparation, and model development, such as data normalization and dimension reduction.

This note provides an overview of asset management and capital markets, the different types of firms in this industry, types of investments, the different investment styles and strategies employed by asset managers to help them achieve their goals, and asset manager roles and responsibilities.

This note provides an overview of asset management and capital markets, the different types of firms in this industry, types of investments, the different investment styles and strategies employed by asset managers to help them achieve their goals, and asset manager roles and responsibilities.

Data cleaning, data preparation, and model development are the crucial steps in data analytics. The first two steps aim to improve data quality for higher accuracy, improved productivity, and better efficiency in modelling and obtaining results. The last step, model development, seeks to improve accuracy of prediction, especially in predictive modelling. In this technical note, we use a sample to illustrate how to work with a multivariate dataset in Python. This dataset's massive number of variables requires different approaches to data cleaning, preparation, and model development, such as data normalization and dimension reduction.

As companies increasingly rely on data and analytics to make decisions and improve their operations, it becomes clear that data quality can be a major issue. The insights gleaned from data analytics are useful only if the data is of high quality. This note summarizes some common issues that can result in low-quality data and explores the crucial task of data engineering. This note is taught at Darden in the second-year elective, "Digital Operations." It would also be suitable in a course or module covering data analytics.

LCA action plans integrate responsibility and accountability into decision-making and planning. This module note was designed for the LCA course and reviews six steps leaders can follow to develop a practical LCA action plan for their business. It shows how integrating an LCA perspective can help leaders make better strategic decisions when planning by helping them clarify analysis, sharpen criteria for success, and be better prepared to manage risk.

Information asymmetry is pervasive in business and can often confer great advantage. This note distinguishes forms of deceptive behavior in the face of information asymmetry and aims to help students analyze their impermissibility. The note also introduces students to the method of reflective equilibrium as an approach to ethical analysis.

This technical note provides a general overview of cloud computing and how businesses are using it to achieve their digital goals. Specifically, this note outlines the different service models that cloud computing supports, including Infrastructure-as-a-Service, Platform-as-a-Service, and Software-as-a-Service. The note also details some of the advantages and disadvantages of cloud computing, and it reviews the cloud computing industry and some of its top players.

In business and strategy contexts, network effects are often accompanied by bandwagon (or herding) effects, positive feedback loops (or accumulated advantage effects), and market tipping (or winner-take-all dynamics). Though these phenomena are often grouped together under the general use of the term "network effects," this note aims to distinguish the core notion of network effects from the related phenomena that interact and often co-occur.

Boards of directors have important responsibilities in the context of top management succession processes. However, their role has not been sufficiently studied in the setting of family-controlled firms. Meanwhile, family executives often play a major role in the performance of family firms. In fact, replacing those family managers has important implications and needs to be treated as a priority by boards of directors. In this industry note, we explore the unique challenges that succession processes pose for the boards of family firms. We conclude that boards of directors should be particularly conscious of the need for planning, coordinating, and overseeing succession processes to meet both the business challenges and the controlling family’s expectations.

This technical note details virtual and augmented reality and how these immersive technologies can be used in business. Specifically, this note highlights several business applications of both virtual and augmented reality-describing each technology's advantages and disadvantages. Various companies have uncovered new and interesting applications using these technologies, ranging from assisting distribution-center workers to improving learning and development. This note is taught at Darden in the second-year course, "Digital Operations." It would also be suitable in a course focused on technology strategy covering virtual and augmented reality or a module on the metaverse.