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Directing the ERP Implementation: A Best Practice Guide to Avoiding Program Failure Traps While Tuning System Performance
No full textAlthough many books outline approaches for successful ERP implementations, the data shows that most ERP efforts yield minimal return on investment (ROI), with most projects failing. Directing the ERP Implementation: A Best Practice Guide to Avoiding Program Failure Traps While Tuning System Performance supplies best practices along with a proven roadmap for improving the odds of system implementation success.
By adhering to the time-tested framework outlined in the book, your organization will be able to commit to the precepts and practices that lead to successful implementations. Supplying an innovative and fast-track, yet comprehensive, approach to ERP implementation success, the book provides practical guidance to help executive leadership do the right things along the ERP journey.
Explains how to engineer a project plan, generate requirements, and obtain a results-oriented commitment
Details the practical deployment framework essential for success and includes a variety of tools to position an organization for success
Describes how to ensure proactive involvement by the project team, executive sponsors, stakeholders, and working-level systems champions
Highlighting the essential planning ingredients that are frequently omitted from ERP implementation start-ups, the book provides readers with the planning framework and proven foundational methods and principles to ensure smooth planning and systems deployment, product quality, and maximum ROI.
The book covers everything from software selection and integration to common snags, traps, and black holes. Best practice tool sets include proven methods such as information workmanship standard, which defines quality; conference room piloting, which assists in matching teams to objectives seamlessly; education, training, and implementation framework, which addresses preparing the operating production environment; and project monitoring and deployment, covering project and risk management
Information Technology Curricula 2017: Curriculum Guidelines for Baccalaureate Degree Programs in Information Technology
No full text
Enterprise Networking, Security, and Automation Companion Guide (CCNAv7)
No full textEnterprise Networking, Security, and Automation (CCNA v7) Companion Guide is designed as a portable desk reference to use anytime, anywhere to reinforce the material from the Enterprise Networking, Security, and Automation course and organize your time.
The book’s features help students focus on important concepts to succeed in this course:
Chapter Objectives — Review core concepts by answering the focus questions listed at the beginning of each chapter.
Key Terms — Refer to the lists of networking vocabulary introduced and highlighted in context in each chapter.
Glossary — Consult the comprehensive Glossary with more than 250 terms.
Summary of Activities and Labs — Maximize your study time with this complete list of all associated practice exercises at the end of each chapter.
Check Your Understanding — Evaluate your readiness with the end-of-chapter questions that match the style of questions you see in the online course quizzes. The answer key explains each answer.
How To — Look for this icon to study the steps you need to learn to perform certain tasks.
Interactive Activities — Reinforce your understanding of topics with dozens of exercises from the online course identified throughout the book with this icon.
Packet Tracer Activities — Explore and visualize networking concepts using Packet Tracer exercises interspersed throughout the chapters and provided in the accompanying Labs & Study Guide book.
Videos — Watch the videos embedded within the online course.
Hands-on Labs — Work through all the course labs and additional Class Activities that are included in the course and published in the separate Labs & Study Guide.
Part of the Cisco Networking Academy Series from Cisco Press, books in this series support and complement the Cisco Networking Academy curriculum
Practical Machine Learning in JavaScript: TensorFlow.js for Web Developers
No full textBuild machine learning web applications without having to learn a new language. This book will help you develop basic knowledge of machine learning concepts and applications.
You’ll learn not only theory, but also dive into code samples and example projects with TensorFlow.js. Using these skills and your knowledge as a web developer, you’ll add a whole new field of development to your tool set. This will give you a more concrete understanding of the possibilities offered by machine learning. Discover how ML will impact the future of not just programming in general, but web development specifically.
Machine learning is currently one of the most exciting technology fields with the potential to impact industries from health to home automation to retail, and even art. Google has now introduced TensorFlow.js?an iteration of TensorFlow aimed directly at web developers. Practical Machine Learning in JavaScript will help you stay relevant in the tech industry with new tools, trends, and best practices
Data Analytics and Big Data (Information Systems, Web and Pervasive Computing)
No full textThe main purpose of this book is to investigate, explore and describe approaches and methods to facilitate data understanding through analytics solutions based on its principles, concepts and applications. But analyzing data is also about involving the use of software. For this, and in order to cover some aspect of data analytics, this book uses software (Excel, SPSS, Python, etc) which can help readers to better understand the analytics process in simple terms and supporting useful methods in its application
Network Programmability and Automation Skills for the Next-Generation Network Engineer
No full textLike sysadmins before them, network engineers are finding that they cannot do their work manually anymore. As the field faces new protocols, technologies, delivery models, and a pressing need for businesses to be more agile and flexible, network automation is becoming essential. This practical guide shows network engineers how to use a range of technologies and tools—including Linux, Python, JSON, and XML—to automate their systems through code.
Network programming and automation will help you simplify tasks involved in configuring, managing, and operating network equipment, topologies, services, and connectivity. Through the course of the book, you’ll learn the basic skills and tools you need to make this critical transition.
This book covers:
-Python programming basics: data types, conditionals, loops, functions, classes, and modules
-Linux fundamentals to provide the foundation you need on your network automation journey
-Data formats and models: JSON, XML, YAML, and YANG for networking
-Jinja templating and its applicability for creating network device configurations
-The role of application programming interfaces (APIs) in network automation
-Source control with Git to manage code changes during the automation process
-How Ansible, Salt, and StackStorm open source automation tools can be used to automate network devices
-Key tools and technologies required for a Continuous Integration (CI) pipeline in network operation
Qualitative Research and Hypermedia: Ethnography for the Digital Age
No full textDigital culture and digital technologies have rapidly become unavoidable and essential forms of social experience and communication in our emerging globalised society. If we want to attempt to analyse and understand our technology-saturated society, and all its new media, then we must also develop research methods and forms of analysis that can accommodate and exploit digital culture and digital technologies.
This important new methods text sets out to equip qualitative researchers with the tools necessary to conduct ethnography in the age of email and the internet. It will investigate how digital technologies potentially transform the ways in which we do research. This text also introduces the reader to new emerging methods that utilise new technologies and explains how to conduct data collection, analysis and representation using new technologies and `hypermedia?.
Essential reading for any student or researcher interested in qualitative research in an age of hypermedia, this text:
-explains how digital technology impacts on social research;
-investigates how digital technology has reshaped the field of social research;
-consider the implications of bringing multimedia into the forefront of qualitative research;
-suggests new ways of observing and documenting a `technologised? and design-rich society;
-enables the reader to use new technologies to handle and represent qualitative data
Fashion Thinking: Creative Approaches to the Design Process, 2/E
No full textFashion\u27s great innovations often spring from inspired designers developing unique concepts and challenging the status quo. But how do they do it? To find out, follow ten exceptional fashion design students as they respond to a brief, exploring their diverse strategies and the thinking behind their final collections.
This second edition of Fashion Thinking features six new interviews, with insight from the director of Open Style Lab, Grace Jun, and Yeohlee Teng, whose designs have earned a permanent place in the Costume Collection at the Metropolitan Museum of Art, New York. There are also four new case studies, incorporating new technology including adaptive design for the visually impaired and the use of augmented reality.
Beautifully illustrated and structured to clearly demonstrate how to take ideas from concept to design, Fashion Thinking demystifies the creative thinking process to help you develop your own unique collection