Skip to Main Content
In this course students will learn primarily how to manage information using current technologies, which may include wireless communications, cloud computing, and Internet of Things, among others. In addition, students will learn to make sense of big data using high level data analytics and visualisation tools. This course is programming- and Maths-free, and would serve as an excellent introduction to the intriguing world of data science and information systems.
The target reader for this book is a business school student interested in the use of information technologies and systems in business firms. This book introduces the most up-to-date and comprehensive overview of information systems used by business firms. It uses real-world business cases and examples to describe main business objectives that drives the use of information systems and technologies in business firms. This book consists of 15 chapters divided into 4 parts. Part One gives an overview of information systems. Part Two describes information technology infrastructure. Part Three introduces key system applications. Part Four addresses how to build and manage information systems.
This book is primarily aimed at people who need to learn visualization technologies to present data. The secondary audience are people who need to understand how to choose a visualization, such as journalists and business analysts. This book focuses on the Microsoft platform. This book consists of three parts. Part One reviews the history and science of visualization. Part Two explains how to bring data into the Microsoft platform to do visualizations. Part Three is claimed to be the “real value” of this book. It introduces visual analytics in practice. There are also two appendixes at the end, a list of visualization tools and a Data Analysis Expressions function reference.
Readers who are interested in the quantitative presentation of graphics in almost all fields of study will gain both theoretical and practical instructions in this book. Tufte divides this book into two parts. Part One reviews the graphical practice from William Playfair (1759-1823). In this part, Tufte concludes that the best graphs present interesting data, communicate complex ideas with clarity, precision, and efficiency, are multivariate but truthful to the data. Part Two develops a theory of data graphics. A concept central to the theory is “data-ink”, the non-redundant and non-erasable ink representing variation in the quantitative information. Tufte elaborates on the rule to get rid of chartjunk, the non-data ink.
This book is primarily aimed at a diverse groups of management, information technology, and information security professionals. Rafaels first discusses the definition of the cloud computing by the National Institute of Standards and Technology, and the benefits of cloud computing, and then moves to discuss cloud technology. Rafael presents a migration methodology as Discover, Design, Deploy, and Determine. Rafael describes the pitfalls in migrating to the cloud and remedies to the pitfalls. He also discusses software tools that helps to identify IT enterprise environment and performance metrics, explains the method to create a cost benefit analysis and a total cost of ownership analysis, and includes standard templates for this analysis.
The target audience of this book include IT practitioners and professionals, IT managers and decision makers, professors and students and educational institutions, business managers, and technology architects and developers. This book mainly addresses on concepts, models, and technology mechanisms and architectures of cloud computing, based on research and analysis of the commercial cloud computing industry, cloud computing vendor platforms, and further innovation and contributions made by cloud computing industry standards organizations and practitioners. This book documents 20 technology mechanisms used within cloud environments and 29 cloud-based technology architectures and scenarios. This book also concerns with topics related to the real-world considerations of working with cloud-based environments.
This book teaches the basic concepts for shaping data models in Excel and Power BI through practical examples in daily life. It covers the basic concepts of data modeling, the senarios of header/detail tables and of multiple fact tables that need to be mixed to build a report, time intelligence calculations and models where events stored in fact tables have a duration, the use of slowing changing dimensions in your model, aspects of snapshots and of many-to-many relationships, several segmentation models, and currency exchange. The complexity of the models and their solutions increase chapter by chapter, and thus better read this book from the beginning.
This book introduces analytics for the managers and future managers of a corporation. The frameworks are the INFORMS three levels of analytics and the SAS eight level. There are nine chapters in this book, covering analytics that contributes to continually improving the corporation’s decision making; details on models, model building, and the role of models in management decision making; the decision tree structuring process; concepts from statistics that are used to visualize and interpret data; predictive modeling or statistical regression; stochastic or Mote Carlo simulation models; the concept of simultaneous decision problems and its solution; revenue management and scientific pricing; corporations that incorporate analytics into their corporate strategy.
The target audience of this book are managers, consultants, and academics in manufacturing and service businesses. The innovator’s dilemma refers to the situation that well-managed companies begin to fall ever since they aggressively invest in the products and services for their most profitable customers. This book defines the problem of disruptive technologies-innovations that result in worse product performance, at least in the near-term- and describes how to manage disruptive technologies to avoid the failure of companies. This book develops the failure framework in the context of the disk drive industry, and explores the internal and external validity of the failure framework. This book also proposes the existence of five principles of disruptive technology.
This book introduces Power Query and the M language from a practical point of view as an Excel pro. Chapters include importing basic data, overriding Power Query defaults, basic append operations, importing all files in a folder, aggregating Excel worksheets, unpivoting data, importing nondelimited text files, importing from databases, merging tables and queries, query loading destinations, defining data types, importing web data, loading data from exchange, grouping and summarizing, transposing and unpivoting complex data, automating refreshing, Power Query formulas, conditional logic in Power Query, Power Query objects, understanding the M language, creating custom functions, advanced conditional logic, dynamic parameter tables, dynamic calendar tables, query organization.
