Leading Projects With Data
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Leading Projects With Data
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Author : Marcus Glowasz
language : en
Publisher: Marcus Glowasz
Release Date : 2022-12-01
Leading Projects With Data written by Marcus Glowasz and has been published by Marcus Glowasz this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-01 with Business & Economics categories.
The use of data and analytics significantly improves project performance, but it requires a cultural foundation that connects and engages people, enables evidence-based thinking and facilitates new capabilities. In an era of rapid change and an ever-increasing flow of information, data is a highly-valued asset. Organizations are transforming business areas into data-driven practices to make better and faster decisions and respond accurately to fast-changing market behaviors and demands. The project management domain cannot afford to be left behind. Old practices will not serve the sector in the twenty-first century. That means project delivery functions must embrace new and innovative ways to deliver change. In this book, Marcus Glowasz argues the urgent need to employ data and analytics for improved project performance. Leading Projects with Data is full of actionable insights to drive the behaviors and culture shifts necessary to ensure a successful transition to data-informed project delivery practices. A thriving practice needs people with the mindset to collaborate across boundaries, learn from failure, adapt to a new normal of frequent disruption and change, and value knowledge. Diversity, transparency, and critical thinking are key drivers in the new world of project management. The future is here. Embrace it.
Leading Complex Projects
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Author : Edward W. Merrow
language : en
Publisher: John Wiley & Sons
Release Date : 2018-05-01
Leading Complex Projects written by Edward W. Merrow and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-01 with Business & Economics categories.
Quantitative analysis of outcomes vs PMs at the individual level Leading Complex Projects takes a unique approach to post-mortem analysis to provide project managers with invaluable insight. For the first time, individual PM characteristics are quantitatively linked to project outcomes through a major study investigating the role of project leadership in the success and failure of complex industrial projects; hard data on the backgrounds, education, and personality characteristics of over 100 directors of complex projects is analyzed against the backdrop of project performance to provide insight into controllable determinants of outcomes. By placing these analyses alongside their own data, PMs will gain greater insight into areas of weakness and strength, locate recurring obstacles, and identify project components in need of greater planning, oversight, or control. The role of leadership is to deliver results; in project management, this means taking responsibility for project outcomes. PMs are driven by continuous improvement, and this book provides a wealth of insight to help you achieve the next step forward. Understand why small, simple projects consistently outperform larger, more complex projects Delve into the project manager's role in generating successful outcomes Examine the data from over 100 PMs of complex industrial projects Link PM characteristics to project outcome to find areas for improvement Complex industrial projects from around the world provide a solid basis for quantitative analysis of outcomes—and the PMs who drive them. Although the majority of the data is taken from projects in the petroleum industry, the insights gleaned from analysis are widely applicable across industry lines for PMs who lead complex projects of any stripe. Leading Complex Projects provides clear, data-backed improvement guidance for anyone in a project management role.
How To Lead In Data Science
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Author : Jike Chong
language : en
Publisher: Simon and Schuster
Release Date : 2021-12-28
How To Lead In Data Science written by Jike Chong and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-28 with Computers categories.
A field guide for the unique challenges of data science leadership, filled with transformative insights, personal experiences, and industry examples. In How To Lead in Data Science you will learn: Best practices for leading projects while balancing complex trade-offs Specifying, prioritizing, and planning projects from vague requirements Navigating structural challenges in your organization Working through project failures with positivity and tenacity Growing your team with coaching, mentoring, and advising Crafting technology roadmaps and championing successful projects Driving diversity, inclusion, and belonging within teams Architecting a long-term business strategy and data roadmap as an executive Delivering a data-driven culture and structuring productive data science organizations How to Lead in Data Science is full of techniques for leading data science at every seniority level—from heading up a single project to overseeing a whole company's data strategy. Authors Jike Chong and Yue Cathy Chang share hard-won advice that they've developed building data teams for LinkedIn, Acorns, Yiren Digital, large asset-management firms, Fortune 50 companies, and more. You'll find advice on plotting your long-term career advancement, as well as quick wins you can put into practice right away. Carefully crafted assessments and interview scenarios encourage introspection, reveal personal blind spots, and highlight development areas. About the technology Lead your data science teams and projects to success! To make a consistent, meaningful impact as a data science leader, you must articulate technology roadmaps, plan effective project strategies, support diversity, and create a positive environment for professional growth. This book delivers the wisdom and practical skills you need to thrive as a data science leader at all levels, from team member to the C-suite. About the book How to Lead in Data Science shares unique leadership techniques from high-performance data teams. It’s filled with best practices for balancing project trade-offs and producing exceptional results, even when beginning with vague requirements or unclear expectations. You’ll find a clearly presented modern leadership framework based on current case studies, with insights reaching all the way to Aristotle and Confucius. As you read, you’ll build practical skills to grow and improve your team, your company’s data culture, and yourself. What's inside How to coach and mentor team members Navigate an organization’s structural challenges Secure commitments from other teams and partners Stay current with the technology landscape Advance your career About the reader For data science practitioners at all levels. About the author Dr. Jike Chong and Yue Cathy Chang build, lead, and grow high-performing data teams across industries in public and private companies, such as Acorns, LinkedIn, large asset-management firms, and Fortune 50 companies. Table of Contents 1 What makes a successful data scientist? PART 1 THE TECH LEAD: CULTIVATING LEADERSHIP 2 Capabilities for leading projects 3 Virtues for leading projects PART 2 THE MANAGER: NURTURING A TEAM 4 Capabilities for leading people 5 Virtues for leading people PART 3 THE DIRECTOR: GOVERNING A FUNCTION 6 Capabilities for leading a function 7 Virtues for leading a function PART 4 THE EXECUTIVE: INSPIRING AN INDUSTRY 8 Capabilities for leading a company 9 Virtues for leading a company PART 5 THE LOOP AND THE FUTURE 10 Landscape, organization, opportunity, and practice 11 Leading in data science and a future outlook
Project Mastery A Guide To Leading Projects With Confidence
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-04-18
Project Mastery A Guide To Leading Projects With Confidence written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-18 with Business & Economics categories.
"Project Mastery: A Guide to Leading Projects with Confidence" is the ultimate resource for aspiring and experienced project managers seeking to excel in today's demanding business environment. This comprehensive guide provides a roadmap for navigating the complexities of project management, from defining project goals and objectives to planning, executing, and controlling project activities. With a focus on real-world scenarios and practical strategies, this book equips readers with the knowledge and skills necessary to lead projects with confidence and deliver exceptional results. It delves into various project management methodologies, including Agile and Waterfall, and discusses the benefits and challenges of each approach. Readers will also gain insights into the latest project management software and tools available, enabling them to select and implement the right tools for their projects. Furthermore, "Project Mastery" emphasizes the importance of effective leadership in project management, providing strategies for building strong teams, creating a positive project culture, and overcoming challenges and obstacles that may arise during the project lifecycle. It also covers stakeholder management, risk management, and quality control, providing readers with the tools and techniques needed to manage these aspects effectively. By the end of this book, readers will have a solid understanding of the principles and practices of project management, enabling them to lead projects with confidence and deliver successful outcomes. Whether you are a project manager, team member, or aspiring leader, "Project Mastery" is the essential guide to help you excel in today's competitive business landscape. Key Features: * Comprehensive coverage of project management principles and practices * Real-world scenarios and practical strategies for effective project management * In-depth exploration of project management methodologies, including Agile and Waterfall * Insights into the latest project management software and tools * Emphasis on effective leadership, team building, and stakeholder management * Techniques for managing project risks, issues, and quality control "Project Mastery" is your ultimate guide to project management success, providing the knowledge and skills you need to lead projects with confidence and deliver exceptional results. If you like this book, write a review on google books!
Artificial Intelligence Big Data Algorithms And Industry 4 0 In Firms And Clusters
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Author : Luciana Lazzeretti
language : en
Publisher: Taylor & Francis
Release Date : 2024-10-04
Artificial Intelligence Big Data Algorithms And Industry 4 0 In Firms And Clusters written by Luciana Lazzeretti and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-04 with Business & Economics categories.
This volume offers a wide-ranging discussion on the interrelations among AI, algorithms, big data, and Industry 4.0 to understand the importance of these new paradigms for the development of firms, districts, clusters, cities, regions, and innovation. Drawing on theoretical, empirical, and qualitative studies and using local perspectives, the chapters in this book explore theoretical aspects of AI and its evolution in social sciences, focusing on industry 4.0, smart cities, big data, and other related topics. They examine the role of industrial robots in employment, productivity, and knowledge absorption in industrial districts. They also discuss innovation in the context of local production systems, AI ecosystems, and the growth and potential of the Metaverse. Taken together, the book offers insights to help understand the new dynamics generated by the advent of these technologies and how they may affect regions, cities, clusters, industries, and organizations, and identifies avenues for future research in the development of new trajectories for clusters and firms. This book will be a key resource for scholars and advanced students in the fields of economics, geography, architecture, planning, and management as well as for interdisciplinary researchers who want to learn more about the development of new technologies, the relevance of AI, Big Data and I4.0 for firms and in relation to their adoption in clusters. This book was originally published as a special issue of European Planning Studies.
Leading In Analytics
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Author : Joseph A. Cazier
language : en
Publisher: John Wiley & Sons
Release Date : 2023-10-31
Leading In Analytics written by Joseph A. Cazier and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-31 with Computers categories.
A step-by-step guide for business leaders who need to manage successful big data projects Leading in Analytics: The Critical Tasks for Executives to Master in the Age of Big Data takes you through the entire process of guiding an analytics initiative from inception to execution. You’ll learn which aspects of the project to pay attention to, the right questions to ask, and how to keep the project team focused on its mission to produce relevant and valuable project. As an executive, you can’t control every aspect of the process. But if you focus on high-impact factors that you can control, you can ensure an effective outcome. This book describes those factors and offers practical insight on how to get them right. Drawn from best-practice research in the field of analytics, the Manageable Tasks described in this book are specific to the goal of implementing big data tools at an enterprise level. A dream team of analytics and business experts have contributed their knowledge to show you how to choose the right business problem to address, put together the right team, gather the right data, select the right tools, and execute your strategic plan to produce an actionable result. Become an analytics-savvy executive with this valuable book. Ensure the success of analytics initiatives, maximize ROI, and draw value from big data Learn to define success and failure in analytics and big data projects Set your organization up for analytics success by identifying problems that have big data solutions Bring together the people, the tools, and the strategies that are right for the job By learning to pay attention to critical tasks in every analytics project, non-technical executives and strategic planners can guide their organizations to measurable results.
Winning With Data Science
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Author : Howard Steven Friedman
language : en
Publisher: Columbia University Press
Release Date : 2024-01-30
Winning With Data Science written by Howard Steven Friedman and has been published by Columbia University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-30 with Computers categories.
Whether you are a newly minted MBA or a project manager at a Fortune 500 company, data science will play a major role in your career. Knowing how to communicate effectively with data scientists in order to obtain maximum value from their expertise is essential. This book is a compelling and comprehensive guide to data science, emphasizing its real-world business applications and focusing on how to collaborate productively with data science teams. Taking an engaging narrative approach, Winning with Data Science covers the fundamental concepts without getting bogged down in complex equations or programming languages. It provides clear explanations of key terms, tools, and techniques, illustrated through practical examples. The book follows the stories of Kamala and Steve, two professionals who need to collaborate with data science teams to achieve their business goals. Howard Steven Friedman and Akshay Swaminathan walk readers through each step of managing a data science project, from understanding the different roles on a data science team to identifying the right software. They equip readers with critical questions to ask data analysts, statisticians, data scientists, and other technical experts to avoid wasting time and money. Winning with Data Science is a must-read for anyone who works with data science teams or is interested in the practical side of the subject.
The 12 Pillars Of Project Excellence
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Author : Adil F. Dalal
language : en
Publisher: CRC Press
Release Date : 2011-10-17
The 12 Pillars Of Project Excellence written by Adil F. Dalal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-17 with Business & Economics categories.
Asking tough questions about the current state of project management, The 12 Pillars of Project Excellence: A Lean Approach to Improving Project Results provides groundbreaking techniques to achieve excellence in project leadership that can result in six sigma type results or failure-free projects. It unveils novel solutions and breakthrough concepts—including project culture analysis, the five powers of project leadership, the power of visualizationTM, the science of simplicityTM, dynamic risk leadership, and dynamic project failures analysis—to help you chart the most efficient path to the pinnacle of project leadership. Winner of a 2013 Axiom Business Book Award The author provides the cutting-edge methods based on decades of personal practical experience, valuable lessons learned, and authoritative insights gained from leading over 300 projects to successful conclusions. Complete with powerful tools for organizational- and self-assessment on the accompanying downloadable resources, this book will not only transform your approach to project management, but will also provide you with the tools to develop effective leaders and consistently achieve exceptional business results. Some Praise for the Book: ... a highly pragmatic guide to project management. ... lays out the way of thinking that underpins success... a book that everyone could benefit from. —Mikel J. Harry, Ph.D., co-creator of Six Sigma provides the most significant contribution for leaders to mitigate project risks, assure sustainable growth, and guarantee survival... . —Carlos Alberto Briganti, general manager of Eaton Europe and Japan, 2001-2003; vice president of Eaton South America 2004-2007 ... one of the BEST books I have ever read on project leadership. —John Salazar, CIO Department of Work Force Solutions; former CIO of Department of Taxation & Revenue, State of New Mexico ... a comprehensive guide that will assist any business leader within an organization to consistently achieve excellent business results! A ‘must buy’—get it now! —Billy Billimoria, director, customer applications, BAE Systems; program director, Lockheed Martin; project engineer, Space Shuttle and Support Equipment Design
Managing Your Data Science Projects
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Author : Robert de Graaf
language : en
Publisher: Apress
Release Date : 2019-06-08
Managing Your Data Science Projects written by Robert de Graaf and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-08 with Computers categories.
At first glance, the skills required to work in the data science field appear to be self-explanatory. Do not be fooled. Impactful data science demands an interdisciplinary knowledge of business philosophy, project management, salesmanship, presentation, and more. In Managing Your Data Science Projects, author Robert de Graaf explores important concepts that are frequently overlooked in much of the instructional literature that is available to data scientists new to the field. If your completed models are to be used and maintained most effectively, you must be able to present and sell them within your organization in a compelling way. The value of data science within an organization cannot be overstated. Thus, it is vital that strategies and communication between teams are dexterously managed. Three main ways that data science strategy is used in a company is to research its customers, assess risk analytics, and log operational measurements. These all require different managerial instincts, backgrounds, and experiences, and de Graaf cogently breaks down the unique reasons behind each. They must align seamlessly to eventually be adopted as dynamic models. Data science is a relatively new discipline, and as such, internal processes for it are not as well-developed within an operational business as others. With Managing Your Data Science Projects, you will learn how to create products that solve important problems for your customers and ensure that the initial success is sustained throughout the product’s intended life. Your users will trust you and your models, and most importantly, you will be a more well-rounded and effectual data scientist throughout your career. Who This Book Is For Early-career data scientists, managers of data scientists, and those interested in entering the field of data science
Modern Scala Projects
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Author : Ilango gurusamy
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-07-30
Modern Scala Projects written by Ilango gurusamy and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-30 with Computers categories.
Develop robust, Scala-powered projects with the help of machine learning libraries such as SparkML to harvest meaningful insight Key Features Gain hands-on experience in building data science projects with Scala Exploit powerful functionalities of machine learning libraries Use machine learning algorithms and decision tree models for enterprise apps Book Description Scala, together with the Spark Framework, forms a rich and powerful data processing ecosystem. Modern Scala Projects is a journey into the depths of this ecosystem. The machine learning (ML) projects presented in this book enable you to create practical, robust data analytics solutions, with an emphasis on automating data workflows with the Spark ML pipeline API. This book showcases or carefully cherry-picks from Scala’s functional libraries and other constructs to help readers roll out their own scalable data processing frameworks. The projects in this book enable data practitioners across all industries gain insights into data that will help organizations have strategic and competitive advantage. Modern Scala Projects focuses on the application of supervisory learning ML techniques that classify data and make predictions. You'll begin with working on a project to predict a class of flower by implementing a simple machine learning model. Next, you'll create a cancer diagnosis classification pipeline, followed by projects delving into stock price prediction, spam filtering, fraud detection, and a recommendation engine. By the end of this book, you will be able to build efficient data science projects that fulfil your software requirements. What you will learn Create pipelines to extract data or analytics and visualizations Automate your process pipeline with jobs that are reproducible Extract intelligent data efficiently from large, disparate datasets Automate the extraction, transformation, and loading of data Develop tools that collate, model, and analyze data Maintain the integrity of data as data flows become more complex Develop tools that predict outcomes based on “pattern discovery” Build really fast and accurate machine-learning models in Scala Who this book is for Modern Scala Projects is for Scala developers who would like to gain some hands-on experience with some interesting real-world projects. Prior programming experience with Scala is necessary.