Data Analytics for Engineering and Construction Project Risk Management (Damnjanovic Ivan)(Pevná vazba)

Data Analytics for Engineering and Construction Project Risk Management (Damnjanovic Ivan)(Pevná vazba)

This book provides a step-by-step guidance on how to implement analytical methods in project risk management. The text focuses on engineering design and construction projects and as such is suitable for graduate students in engineering, construction, or project management, as well as practitioners

Project Management for Designers and Facilities Managers (Birnberg Howard)(Pevná vazba)

This edition of the leading choice for architectural, engineering, and construction (AEC) industry professionals, facilities managers and students seeking to learn and master the skills needed to successfully lead building projects, has been completely revised and includes new case studies and all

Management Decision-Making, Big Data and Analytics (Gressel Simone)(Pevná vazba)

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,

The Standard for Risk Management in Portfolios, Programs, and Projects (Project Management Institute)(Paperback)

Provides an update and expansion of PMI's popular reference, The Practice Standard for Project Risk Management. The standard focuses on the ''what'' of risk management (i.e., the key considerations for effective risk management). It is primarily written for portfolio, program, and project

Data Mining for Business Analytics: Concepts, Techniques and Applications in Python (Shmueli Galit)(Pevná vazba)

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and

Building Collaborative Trust in Construction Procurement Strategies (Challender Jason)(Pevná vazba)

Provides a practical framework and toolkit for improved construction project outcomes based on trust and collaboration This book explores the concept of trust as a tool in improved construction procurement strategies, and provides important insight into the influence of trust on the success of

Data Science and Analytics (Kumari Sneha)(Pevná vazba)

Data Science and Analytics explores the solutions to problems in society, environment and in industry. With the increase in the availability of data, analytics has now become a major element in both the top line and the bottom line of any organization. This book explores perspectives on how big

Security Risk Management Body of Knowledge (Talbot Julian)(Pevná vazba)

A framework for formalizing risk management thinking in today s complex business environment Security Risk Management Body of Knowledge details the security risk management process in a format that can easily be applied by executive managers and security risk management practitioners. Integrating

Ecommerce Analytics: Analyze and Improve the Impact of Your Digital Strategy (Phillips Judah)(Pevná vazba)

Today's Complete, Focused, Up-to-Date Guide to Analytics for Ecommerce Profit from analytics throughout the entire customer experience and lifecycle Make the most of all the fast-changing data sources now available to you For all ecommerce executives, strategists, entrepreneurs, marketers,

Integrating Project Delivery (Fischer Martin)(Pevná vazba)

A revolutionary, collaborative approach to design and construction project delivery Integrating Project Delivery is the first book-length discussion of IPD, the emergent project delivery method that draws on each stakeholder's unique knowledge to address problems before they occur. Written by

Implementing Enterprise Risk Management: From Methods to Applications (Lam James)(Pevná vazba)

A practical, real-world guide for implementing enterprise risk management (ERM) programs into your organization Enterprise risk management (ERM) is a complex yet critical issue that all companies must deal with in the twenty-first century. Failure to properly manage risk continues to plague

Cricket Performance Management: Mathematical Formulation and Analytics (Saikia Hemanta)(Pevná vazba)

This book focuses on the application of data mining techniques in cricket. It provides detailed examples of how data mining can be helpful for decision-making in sports with special reference to cricket, particularly the quantitative features related to Twenty20 cricket, the latest and the most

Cultural Analytics (Manovich Lev)(Pevná vazba)

A book at the intersection of data science and media studies, presenting concepts and methods for computational analysis of cultural data. How can we see a billion images? What analytical methods can we bring to bear on the astonishing scale of digital culture--the billions of photographs shared on

Challenges and Applications of Data Analytics in Social Perspectives (Sathiyamoorthi V.)(Pevná vazba)

Provides innovative insights into the prevailing challenges in data analytics and its application on social media and focuses on various machine learning and deep learning techniques in improving practice and research. Topics examined include collaborative filtering, data visualization, and edge

Lean Project Delivery and Integrated Practices in Modern Construction (Forbes Lincoln H.)(Pevná vazba)

Strategic Risk Management: Designing Portfolios and Managing Risk (Harvey Campbell R.)(Pevná vazba)

A fresh approach to managing risk in the most challenging market conditionsStrategic Risk Management presents an innovative approach to portfolio design. Often the risk management function is a series of tripwires that are activated after the portfolio is already in trouble. Strategic Risk

Rock Engineering, second edition (Palmstrom Arild)(Pevná vazba)

The first book to focus on risk and uncertainty in ground conditions, Rock Engineering explains the geological principles and concepts required for successful geotechnical design and engineering of underground excavations. The book sets out the principles and techniques required in geology and rock

Primer for Data Analytics and Graduate Study in Statistics (Wolfe Douglas)(Pevná vazba)

- Introduction. - Basic Probability. - Random Variables and Probability Distributions. - General Properties of Random Variables. - Joint Probability Distributions for Two Random Variables. - Probability Distribution of a Function of a Single Random Variable. - Sampling Distributions. - Asymptotic

Big Data on Campus: Data Analytics and Decision Making in Higher Education (Webber Karen L.)(Pevná vazba)

Strategic Risk Management: New Tools for Competitive Advantage in an Uncertain Age (Godfrey Paul C.)(Pevná vazba)

This book presents a new approach to risk management that enables executives to think systematically and strategically about future risks and deal proactively with threats to their competitive advantages in an ever more volatile, uncertain, complex, and ambiguous world. Organizations typically

Project Management: A Value Creation Approach (Clegg Stewart R.)(Pevná vazba)

Project management is an essential life and workplace skill that everyone must develop. Following the popular style and format of other textbooks by Stewart Clegg, this brand new co-authored textbook on project management provides a much needed European perspective to the subject. Drawing on the

Fraud Analytics (Spann Delena D.)(Pevná vazba)

Proven guidance for expertly using analytics in fraud examinations, financial analysis, auditing and fraud prevention Fraud Analytics thoroughly reveals the elements of analysis that are used in today's fraud examinations, fraud investigations, and financial crime investigations. This valuable

The Data Science Handbook (Cady Field)(Pevná vazba)

A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person. In

Master Data Management and Data Governance (Berson Alex)(Pevná vazba)

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.The latest techniques for building a customer-focused enterprise environmentRegain control of your master data