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Author: National Research Council (U.S.). Committee for the Study of Strategic Transportation Data Needs Publisher: Transportation Research Board ISBN: 9780309051569 Category : Transportation Languages : en Pages : 180
Book Description
TRB Special Report 234 - Data for Decisions: Requirements for National Transportation Policy Making examines data requirements necessary to support strategic transportation policy making and the institutional changes necessary to make those data available on a permanent basis. The report calls for the establishment of a statistical agency within USDOT (this recommendation became helped create the Bureau of Transportation Statistics), the development of performance indicators, and regular reporting to the Secretary and Congress on important trends in system performance.
Author: National Research Council (U.S.). Committee for the Study of Strategic Transportation Data Needs Publisher: Transportation Research Board ISBN: 9780309051569 Category : Transportation Languages : en Pages : 180
Book Description
TRB Special Report 234 - Data for Decisions: Requirements for National Transportation Policy Making examines data requirements necessary to support strategic transportation policy making and the institutional changes necessary to make those data available on a permanent basis. The report calls for the establishment of a statistical agency within USDOT (this recommendation became helped create the Bureau of Transportation Statistics), the development of performance indicators, and regular reporting to the Secretary and Congress on important trends in system performance.
Author: Simone Gressel Publisher: SAGE ISBN: 1529738288 Category : Business & Economics Languages : en Pages : 354
Book Description
Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies, examples and a ‘critical incidents’ feature that make these topics engaging and relevant for students of business and management. The book features chapters on cutting-edge topics, including: • Big data • Analytics • Managing emerging technologies and decision-making • Managing the ethics, security, privacy and legal aspects of data-driven decision-making The book is accompanied by an Instructor’s Manual, PowerPoint slides and access to journal articles. Suitable for management students studying business analytics and decision-making at undergraduate, postgraduate and MBA levels.
Author: Subhashish Samaddar Publisher: ISBN: 9780999766965 Category : Languages : en Pages :
Book Description
This book is intended for the students and teachers of evidence based decision making, especially when the evidences are obtained from numerical facts. It specifically covers business modeling, decision analytics, and forecasting. All planning and decision making start with some estimation of what the future holds for a business and thus, we need to forecast the future. Generally, there can be more than one forecast for most real situations based on the model one uses to forecast them. Business modeling can help us with calculating what those multiple forecasts of the future mean for the things that the business is interested in, such as profit, costs, pay off, returns etc. These are also called outcomes. Once we get the forecasts depicting the future, we can devise and assess multiple actions, and choose one of them that get the best outcome for the business. Decision analytics help us with this assessment. This book is best used for problem based learning and instruction. Problem based learning introduces the problem first for the students to work on, along with the instructor. Students learn by doing. They can practice multiple problems for practice until the underlying principles and lessons are understood and absorbed. Then the formal theories and principles are presented to make sense of what the students have already done and learned. This can also be called reversed learning because it reverses the process of the traditional learning method of theory first and problem solving later. The first of the book provides the problem and the second half of the book provides brief theories and principles, and solutions of the problems.
Author: Jerzy Surma Publisher: ISBN: 9781606491850 Category : Business & Economics Languages : en Pages : 150
Book Description
Focusing on primarily on practical business issues, this text demonstrates how to apply data warehousing and data analytics to support business decision making. This book progresses through a logical sequence, starting with data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. All examples are based on the most recent achievements in business intelligence. Finally this book outlines an overview of a methodology that takes into account the complexity of developing applications in an integrated business intelligence environment. This book is written for managers, business consultants, and undergraduate and postgraduates students in business administration.
Author: Chris O'Neal Publisher: ISBN: 9781564843081 Category : School management and organization Languages : en Pages : 0
Book Description
This workbook will serve as your guide to incorporating the data-driven decision making process into your organization s culture and behavior. The best part is you don t have to be a techie or a number cruncher to follow along. The information and concepts are presented thoughtfully and in clear language so that all involved can understand. O Neal leads you through setting up teams; warehousing, accessing, and examining data; and finally reflecting on your process. The many worksheets in each chapter will help you put what you read into practice quickly and effectively. Understand what s happening in your school environment and how you can make better decisions that will keep you on a path to success."
Author: Chris J. Lloyd Publisher: John Wiley & Sons ISBN: 0470619600 Category : Business & Economics Languages : en Pages : 512
Book Description
A hands-on guide to the use of quantitative methods and software for making successful business decisions The appropriate use of quantitative methods lies at the core of successful decisions made by managers, researchers, and students in the field of business. Providing a framework for the development of sound judgment and the ability to utilize quantitative and qualitative approaches, Data Driven Business Decisions introduces readers to the important role that data plays in understanding business outcomes, addressing four general areas that managers need to know about: data handling and Microsoft Excel®, uncertainty, the relationship between inputs and outputs, and complex decisions with trade-offs and uncertainty. Grounded in the author's own classroom approach to business statistics, the book reveals how to use data to understand the drivers of business outcomes, which in turn allows for data-driven business decisions. A basic, non-mathematical foundation in statistics is provided, outlining for readers the tools needed to link data with business decisions; account for uncertainty in the actions of others and in patterns revealed by data; handle data in Excel®; translate their analysis into simple business terms; and present results in simple tables and charts. The author discusses key data analytic frameworks, such as decision trees and multiple regression, and also explores additional topics, including: Use of the Excel® functions Solver and Goal Seek Partial correlation and auto-correlation Interactions and proportional variation in regression models Seasonal adjustment and what it reveals Basic portfolio theory as an introduction to correlations Chapters are introduced with case studies that integrate simple ideas into the larger business context, and are followed by further details, raw data, and motivating insights. Algebraic notation is used only when necessary, and throughout the book, the author utilizes real-world examples from diverse areas such as market surveys, finance, economics, and business ethics. Excel® add-ins StatproGo and TreePlan are showcased to demonstrate execution of the techniques, and a related website features extensive programming instructions as well as insights, data sets, and solutions to problems included in the material. Data Driven Business Decisions is an excellent book for MBA quantitative analysis courses or undergraduate general statistics courses. It also serves as a valuable reference for practicing MBAs and practitioners in the fields of statistics, business, and finance.
Author: Dursun Delen Publisher: FT Press ISBN: 013438900X Category : Business & Economics Languages : en Pages : 287
Book Description
Make Better Decisions, Leverage New Opportunities, and Automate Decisioning at Scale Prescriptive analytics is more directly linked to successful decision-making than any other form of business analytics. It can help you systematically sort through your choices to optimize decisions, respond to new opportunities and risks with precision, and continually reflect new information into your decisioning process. In Prescriptive Analytics, analytics expert Dr. Dursun Delen illuminates the field’s state-of-the-art methods, offering holistic insight for both professionals and students. Delen’s end-to-end, all-inclusive approach covers optimization, simulation, multi-criteria decision-making methods, inference- and heuristic-based decisioning, and more. Balancing theory and practice, he presents intuitive conceptual illustrations, realistic example problems, and real-world case studies–all designed to deliver knowledge you can use. Discover where prescriptive analytics fits and how it improves decision-making Identify optimal solutions for achieving an objective within real-world constraints Analyze complex systems via Monte-Carlo, discrete, and continuous simulations Apply powerful multi-criteria decision-making and mature expert systems and case-based reasoning Preview emerging techniques based on deep learning and cognitive computing
Author: National Research Council (U.S.). Committee for the Study of Strategic Transportation Data Needs
Author: National Research Council (U.S.). Committee for the Study of Strategic Transportation Data Needs
Author: Simone Gressel
Author: Subhashish Samaddar
Author: Cang Hui
Author: Richard Arnold Johnson
Author: Jerzy Surma
Author: Chris O'Neal
Author: Chris J. Lloyd
Author: 
Author: Dursun Delen