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Author : Raymond P. Wenig
Publisher :
ISBN 13 :
Total Pages : 265 pages
Book Rating : 4.:/5 (723 download)
Download or read book Effective Management/leadership of Data Processing Projects written by Raymond P. Wenig and published by . This book was released on 1980 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Harjit Singh
Publisher : FT Press
ISBN 13 : 0134190491
Total Pages : 412 pages
Book Rating : 4.1/5 (341 download)
Download or read book Project Management Analytics written by Harjit Singh and published by FT Press. This book was released on 2015-11-12 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: To manage projects, you must not only control schedules and costs: you must also manage growing operational uncertainty. Today’s powerful analytics tools and methods can help you do all of this far more successfully. In Project Management Analytics, Harjit Singh shows how to bring greater evidence-based clarity and rationality to all your key decisions throughout the full project lifecycle. Singh identifies the components and characteristics of a good project decision and shows how to improve decisions by using predictive, prescriptive, statistical, and other methods. You’ll learn how to mitigate risks by identifying meaningful historical patterns and trends; optimize allocation and use of scarce resources within project constraints; automate data-driven decision-making processes based on huge data sets; and effectively handle multiple interrelated decision criteria. Singh also helps you integrate analytics into the project management methods you already use, combining today’s best analytical techniques with proven approaches such as PMI PMBOK® and Lean Six Sigma. Project managers can no longer rely on vague impressions or seat-of-the-pants intuition. Fortunately, you don’t have to. With Project Management Analytics, you can use facts, evidence, and knowledge—and get far better results. Achieve efficient, reliable, consistent, and fact-based project decision-making Systematically bring data and objective analysis to key project decisions Avoid “garbage in, garbage out” Properly collect, store, analyze, and interpret your project-related data Optimize multi-criteria decisions in large group environments Use the Analytic Hierarchy Process (AHP) to improve complex real-world decisions Streamline projects the way you streamline other business processes Leverage data-driven Lean Six Sigma to manage projects more effectively
Author : Raymond P. Wenig
Publisher :
ISBN 13 :
Total Pages : 290 pages
Book Rating : 4.:/5 ( download)
Download or read book Effective Management of Data Processing Projects written by Raymond P. Wenig and published by . This book was released on 1974 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Kirill Dubovikov
Publisher : Packt Publishing Ltd
ISBN 13 : 1838824561
Total Pages : 276 pages
Book Rating : 4.8/5 (388 download)
Download or read book Managing Data Science written by Kirill Dubovikov and published by Packt Publishing Ltd. This book was released on 2019-11-12 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand data science concepts and methodologies to manage and deliver top-notch solutions for your organization Key FeaturesLearn the basics of data science and explore its possibilities and limitationsManage data science projects and assemble teams effectively even in the most challenging situationsUnderstand management principles and approaches for data science projects to streamline the innovation processBook Description Data science and machine learning can transform any organization and unlock new opportunities. However, employing the right management strategies is crucial to guide the solution from prototype to production. Traditional approaches often fail as they don't entirely meet the conditions and requirements necessary for current data science projects. In this book, you'll explore the right approach to data science project management, along with useful tips and best practices to guide you along the way. After understanding the practical applications of data science and artificial intelligence, you'll see how to incorporate them into your solutions. Next, you will go through the data science project life cycle, explore the common pitfalls encountered at each step, and learn how to avoid them. Any data science project requires a skilled team, and this book will offer the right advice for hiring and growing a data science team for your organization. Later, you'll be shown how to efficiently manage and improve your data science projects through the use of DevOps and ModelOps. By the end of this book, you will be well versed with various data science solutions and have gained practical insights into tackling the different challenges that you'll encounter on a daily basis. What you will learnUnderstand the underlying problems of building a strong data science pipelineExplore the different tools for building and deploying data science solutionsHire, grow, and sustain a data science teamManage data science projects through all stages, from prototype to productionLearn how to use ModelOps to improve your data science pipelinesGet up to speed with the model testing techniques used in both development and production stagesWho this book is for This book is for data scientists, analysts, and program managers who want to use data science for business productivity by incorporating data science workflows efficiently. Some understanding of basic data science concepts will be useful to get the most out of this book.
Author : Seweryn Spalek
Publisher : CRC Press
ISBN 13 : 0429786360
Total Pages : 222 pages
Book Rating : 4.4/5 (297 download)
Download or read book Data Analytics in Project Management written by Seweryn Spalek and published by CRC Press. This book was released on 2018-10-25 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to help the reader better understand the importance of data analysis in project management. Moreover, it provides guidance by showing tools, methods, techniques and lessons learned on how to better utilize the data gathered from the projects. First and foremost, insight into the bridge between data analytics and project management aids practitioners looking for ways to maximize the practical value of data procured. The book equips organizations with the know-how necessary to adapt to a changing workplace dynamic through key lessons learned from past ventures. The book’s integrated approach to investigating both fields enhances the value of research findings.
Author :
Publisher :
ISBN 13 :
Total Pages : 122 pages
Book Rating : 4.3/5 (129 download)
Download or read book Management written by and published by . This book was released on 1970 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Kristoffer Bjärkefur
Publisher : World Bank Publications
ISBN 13 : 1464816956
Total Pages : 388 pages
Book Rating : 4.4/5 (648 download)
Download or read book Development Research in Practice written by Kristoffer Bjärkefur and published by World Bank Publications. This book was released on 2021-07-16 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Development Research in Practice leads the reader through a complete empirical research project, providing links to continuously updated resources on the DIME Wiki as well as illustrative examples from the Demand for Safe Spaces study. The handbook is intended to train users of development data how to handle data effectively, efficiently, and ethically. “In the DIME Analytics Data Handbook, the DIME team has produced an extraordinary public good: a detailed, comprehensive, yet easy-to-read manual for how to manage a data-oriented research project from beginning to end. It offers everything from big-picture guidance on the determinants of high-quality empirical research, to specific practical guidance on how to implement specific workflows—and includes computer code! I think it will prove durably useful to a broad range of researchers in international development and beyond, and I learned new practices that I plan on adopting in my own research group.†? —Marshall Burke, Associate Professor, Department of Earth System Science, and Deputy Director, Center on Food Security and the Environment, Stanford University “Data are the essential ingredient in any research or evaluation project, yet there has been too little attention to standardized practices to ensure high-quality data collection, handling, documentation, and exchange. Development Research in Practice: The DIME Analytics Data Handbook seeks to fill that gap with practical guidance and tools, grounded in ethics and efficiency, for data management at every stage in a research project. This excellent resource sets a new standard for the field and is an essential reference for all empirical researchers.†? —Ruth E. Levine, PhD, CEO, IDinsight “Development Research in Practice: The DIME Analytics Data Handbook is an important resource and a must-read for all development economists, empirical social scientists, and public policy analysts. Based on decades of pioneering work at the World Bank on data collection, measurement, and analysis, the handbook provides valuable tools to allow research teams to more efficiently and transparently manage their work flows—yielding more credible analytical conclusions as a result.†? —Edward Miguel, Oxfam Professor in Environmental and Resource Economics and Faculty Director of the Center for Effective Global Action, University of California, Berkeley “The DIME Analytics Data Handbook is a must-read for any data-driven researcher looking to create credible research outcomes and policy advice. By meticulously describing detailed steps, from project planning via ethical and responsible code and data practices to the publication of research papers and associated replication packages, the DIME handbook makes the complexities of transparent and credible research easier.†? —Lars Vilhuber, Data Editor, American Economic Association, and Executive Director, Labor Dynamics Institute, Cornell University
Author : Robert K. Wysocki
Publisher : Wiley + ORM
ISBN 13 : 0470446536
Total Pages : 547 pages
Book Rating : 4.4/5 (74 download)
Download or read book Effective Software Project Management written by Robert K. Wysocki and published by Wiley + ORM. This book was released on 2010-09-29 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why another book on software project management? For some time, the fields of project management, computer science, and software development have been growing rapidly and concurrently. Effective support for the enterprise demands the merging of these efforts into a coordinated discipline, one that incorporates best practices from both systems development and project management life cycles. Robert K. Wysocki creates that discipline in this book--a ready reference for professionals and consultants as well as a textbook for students of computer information systems and project management. By their very nature, software projects defy a "one size fits all" approach. In these pages you will learn to apply best-practice principles while maintaining the flexibility that's essential for successful software development. Learn how to make the planning process fit the need * Understand how and why software development must be planned on a certainty-to-uncertainty continuum * Categorize your projects on a four-quadrant model * Learn when to use each of the five SDPM strategies--Linear, Incremental, Iterative, Adaptive, and Extreme * Explore the benefits of each strategic model and what types of projects it supports best * Recognize the activities that go into the Scoping, Planning, Launching, Monitoring/Controlling, and Closing phases of each strategy * Apply this knowledge to the specific projects you manage * Get a clear picture of where you are and how to get where you want to go
Author : James W. Cortada
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 232 pages
Book Rating : 4.3/5 (97 download)
Download or read book Strategic Data Processing written by James W. Cortada and published by Prentice Hall. This book was released on 1984 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Dama International
Publisher :
ISBN 13 : 9781634622349
Total Pages : 628 pages
Book Rating : 4.6/5 (223 download)
Download or read book DAMA-DMBOK written by Dama International and published by . This book was released on 2017 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: Data is an asset with unique properties; The value of data can be and should be expressed in economic terms; Managing data means managing the quality of data; It takes metadata to manage data; It takes planning to manage data; Data management is cross-functional and requires a range of skills and expertise; Data management requires an enterprise perspective; Data management must account for a range of perspectives; Data management is data lifecycle management; Different types of data have different lifecycle requirements; Managing data includes managing risks associated with data; Data management requirements must drive information technology decisions; Effective data management requires leadership commitment.
Author : Susan Wooldridge
Publisher :
ISBN 13 :
Total Pages : 202 pages
Book Rating : 4.F/5 ( download)
Download or read book Project Management in Data Processing written by Susan Wooldridge and published by . This book was released on 1976 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Harjit Singh
Publisher :
ISBN 13 : 9780134190501
Total Pages : pages
Book Rating : 4.1/5 (95 download)
Download or read book Project Management Analytics written by Harjit Singh and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : United States. General Accounting Office
Publisher :
ISBN 13 :
Total Pages : 60 pages
Book Rating : 4.:/5 (327 download)
Download or read book Ways to Improve Management of Automated Data Processing Resources, Department of the Navy written by United States. General Accounting Office and published by . This book was released on 1975 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Kimmons
Publisher : CRC Press
ISBN 13 : 9780824776763
Total Pages : 1302 pages
Book Rating : 4.7/5 (767 download)
Download or read book Project Management written by Kimmons and published by CRC Press. This book was released on 1989-06-28 with total page 1302 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Highlighting the practical side of real-life project execution, this massive reference stresses project management as an independent profession--detailing the varied applications where project management is used and examining the numerous and diverse project management responsibilities and tools. "
Author : Meilir Page-Jones
Publisher : Dorset House Publishing Company, Incorporated
ISBN 13 :
Total Pages : 254 pages
Book Rating : 4.3/5 (91 download)
Download or read book Practical Project Management written by Meilir Page-Jones and published by Dorset House Publishing Company, Incorporated. This book was released on 1985 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Project Management is not just another management book, promising to divulge the latest secrets to successful project management. Nor is it merely a catalog of perennial woes and bad practices. Rather, it is a book full of fresh insights on what makes organizations effective, on how a project might be doomed to failure before it even starts, on what a manager can do to prevent disaster, on what managers need to understand in order to carry out their duties in a constantly changing environment, and on ways that a manager can motivate project members and users to achieve positive results. Clearly, a manager cannot run a successful project on theory alone: He or she needs practical recommendations, strategies, and procedures that can be adapted to the specific environment. With this book, Meilir Page-Jones provides the know-how, backing it up with humorous but no-less-real examples from his own experience. This exceptional handbook explores -- Why and how projects must serve overall corporate objectives -- How to organize and manage the project itself -- How to hire, train, promote, and dismiss the people you manage. The book contains all the insights, examples, illustrations, exercises, strategies, and procedures you'll need to run an effective, successful department.
Author : Data Processing Management Association
Publisher :
ISBN 13 :
Total Pages : 274 pages
Book Rating : 4.:/5 (319 download)
Download or read book Guidelines to Data Processing Management written by Data Processing Management Association and published by . This book was released on 1979 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Kuan-Ching Li
Publisher : CRC Press
ISBN 13 : 1498768083
Total Pages : 489 pages
Book Rating : 4.4/5 (987 download)
Download or read book Big Data Management and Processing written by Kuan-Ching Li and published by CRC Press. This book was released on 2017-05-19 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the Foreword: "Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes in the field of Big Data. The book, which probes many issues related to this exciting and rapidly growing field, covers processing, management, analytics, and applications... [It] is a very valuable addition to the literature. It will serve as a source of up-to-date research in this continuously developing area. The book also provides an opportunity for researchers to explore the use of advanced computing technologies and their impact on enhancing our capabilities to conduct more sophisticated studies." ---Sartaj Sahni, University of Florida, USA "Big Data Management and Processing covers the latest Big Data research results in processing, analytics, management and applications. Both fundamental insights and representative applications are provided. This book is a timely and valuable resource for students, researchers and seasoned practitioners in Big Data fields. --Hai Jin, Huazhong University of Science and Technology, China Big Data Management and Processing explores a range of big data related issues and their impact on the design of new computing systems. The twenty-one chapters were carefully selected and feature contributions from several outstanding researchers. The book endeavors to strike a balance between theoretical and practical coverage of innovative problem solving techniques for a range of platforms. It serves as a repository of paradigms, technologies, and applications that target different facets of big data computing systems. The first part of the book explores energy and resource management issues, as well as legal compliance and quality management for Big Data. It covers In-Memory computing and In-Memory data grids, as well as co-scheduling for high performance computing applications. The second part of the book includes comprehensive coverage of Hadoop and Spark, along with security, privacy, and trust challenges and solutions. The latter part of the book covers mining and clustering in Big Data, and includes applications in genomics, hospital big data processing, and vehicular cloud computing. The book also analyzes funding for Big Data projects.
