Organizational design practitioners face challenges gathering data to help focus and implement design, understanding the complex nature of organizations, and communicating and sustaining change over a long period of time. Data-driven Organization Design seeks to overcome these challenges, showing how to collect meaningful data and link it to business performance data. Through the use of case studies, practical tips, and sample exercises, the book explains how to: --Map an organization by creating and connecting hierarchies and taxonomies --Link ad-hoc organizational processes to ongoing workforce planning --Apply new analytical approaches to project planning and management, risk management, and competencies
SHORTLISTED: CMI Management Book of the Year 2017 - Management Futures Category Understand how to drive business performance with your organizational data and analytics in the second edition of Data-Driven Organization Design. Using data and analytics is a key opportunity for businesses to transform performance and achieve success. With a data-driven approach, all the elements of the organizational system can be connected to design an environment in which people can excel and attain competitive advantage. Data-Driven Organization Design provides a practical framework for HR and organization design practitioners to build a baseline of data, set objectives, carry out fixed and dynamic process design, map competencies, and right-size the organization. It shows how to collect the right data, present it meaningfully and ask the most relevant questions of it to help complex, fluid organizations constantly evolve and meet moving objectives. This updated second edition contains new material on organizational planning and analysis, role design and job architecture, position management lifecycle and delta reporting. Alongside this, new case studies and examples will show how these approaches have been applied in practice. Whether planning a long-term transformation, a large redesign or an individual small project, Data-Driven Organization Design will demonstrate how to make the most of your organizational data and analytics to drive business performance.
"What do you need to become a data-driven organization? Far more than having big data or a crack team of unicorn data scientists, it requires establishing an effective, deeply-ingrained data culture. This practical book shows you how true data-drivenness involves processes that require genuine buy-in across your company ... Through interviews and examples from data scientists and analytics leaders in a variety of industries ... Anderson explains the analytics value chain you need to adopt when building predictive business models"--Publisher's description.
A well-designed organization is an effective organization. Decisions about organization design determine the shape and form of the organization – not only the reporting structure and authority relations, but also the number and size of sub-units and the interfaces between the sub-units. Indirectly, such decisions affect individual productivity as well as the organization’s ability to attain strategic goals. Organization Design equips the reader with advanced tools and frameworks, based on both research and practical experience, for understanding and re-designing organisations. Particular emphasis is placed on how one can improve effectiveness by simplifying complex roles, processes, and structures. This updated second edition includes a new chapter about traditional organizational forms, and is complemented by a companion website. Students will find thorough conceptual explanations combined with case studies from different industries. This textbook will be essential reading for students, scholars, and practitioners.
“In this comprehensive book, Professor Randy Deutsch has unlocked and laid bare the twenty-first century codice nascosto of architecture. It is data. Big data. Data as driver. . .This book offers us the chance to become informed and knowledgeable pursuers of data and the opportunities it offers to making architecture a wonderful, useful, and smart art form.” —From the Foreword by James Timberlake, FAIA Written for architects, engineers, contractors, owners, and educators, and based on today’s technology and practices, Data-Driven Design and Construction: 25 Strategies for Capturing, Applying and Analyzing Building Data addresses how innovative individuals and firms are using data to remain competitive while advancing their practices. seeks to address and rectify a gap in our learning, by explaining to architects, engineers, contractors and owners—and students of these fields—how to acquire and use data to make more informed decisions. documents how data-driven design is the new frontier of the convergence between BIM and architectural computational analyses and associated tools. is a book of adaptable strategies you and your organization can apply today to make the most of the data you have at your fingertips. Data-Driven Design and Construction was written to help design practitioners and their project teams make better use of BIM, and leverage data throughout the building lifecycle.
FINALIST: Business Book Awards 2019 - HR and Management Category Traditionally seen as a purely people function unconcerned with numbers, HR is now uniquely placed to use company data to drive performance, both of the people in the organization and the organization as a whole. Data-Driven HR is a practical guide which enables HR professionals to leverage the value of the vast amount of data available at their fingertips. Covering how to identify the most useful sources of data, collect information in a transparent way that is in line with data protection requirements and turn this data into tangible insights, this book marks a turning point for the HR profession. Covering all the key elements of HR including recruitment, employee engagement, performance management, wellbeing and training, Data-Driven HR examines the ways data can contribute to organizational success by, among other things, optimizing processes, driving performance and improving HR decision making. Packed with case studies and real-life examples, this is essential reading for all HR professionals looking to make a measurable difference in their organizations.
Which business structures are best suited to the unpredictable 21st century? How can a company, division, or department reconfigure itself with minimum disruption and maximum impact? Every executive grapples with problems of restructuring--and most need hands-on guidance to solve them. This eye-opening book shows business leaders at all levels how to examine their choices by leading them systematically through these fundamental questions: * Should we restructure to meet our strategic goals? * What are the best structural options to achieve our success? * What lateral processes are necessary to support the new structure? * How do we staff the restructured organization to optimize results? Based on Galbraith's world-renowned approach, this guide includes examples and worksheets that pilot readers through the essential steps of organizational design.
Data-driven personas are a significant advancement in the fields of human-centered informatics and human-computer interaction. Data-driven personas enhance user understanding by combining the empathy inherent with personas with the rationality inherent in analytics using computational methods. Via the employment of these computational methods, the data-driven persona method permits the use of large-scale user data, which is a novel advancement in persona creation. A common approach for increasing stakeholder engagement about audiences, customers, or users, persona creation remained relatively unchanged for several decades. However, the availability of digital user data, data science algorithms, and easy access to analytics platforms provide avenues and opportunities to enhance personas from often sketchy representations of user segments to precise, actionable, interactive decision-making tools—data-driven personas! Using the data-driven approach, the persona profile can serve as an interface to a fully functional analytics system that can present user representation at various levels of information granularity for more task-aligned user insights. We trace the techniques that have enabled the development of data-driven personas and then conceptually frame how one can leverage data-driven personas as tools for both empathizing with and understanding of users. Presenting a conceptual framework consisting of (a) persona benefits, (b) analytics benefits, and (c) decision-making outcomes, we illustrate applying this framework via practical use cases in areas of system design, digital marketing, and content creation to demonstrate the application of data-driven personas in practical applied situations. We then present an overview of a fully functional data-driven persona system as an example of multi-level information aggregation needed for decision making about users. We demonstrate that data-driven personas systems can provide critical, empathetic, and user understanding functionalities for anyone needing such insights.
This upper-level textbook provides a practical guide to the field of organization design, grounded in academic literature. It is set apart from other books on the topic by its commitment to be relevant to Master’s students, as well as practitioners looking for evidence-based guidance. The book provides a solid theoretical background for students, defining what organization design is, exploring the history of the field, and describing established frameworks and theories. It then investigates why organizations may seek to embark on a re-design, and what a well-designed organization looks like, referencing case studies and the author’s own research. From there, it takes students through how organization design occurs, examining various models for intervention, the core steps in designing an organization, and what challenges a practitioner may face, all illustrated by stories from the field. This book includes a wide range of didactic elements for students, including learning objectives, case study examples, review questions, and further reading. It examines the impact of new ways of organizing, and draws on the author’s years of experience as a consultant to ensure that academic theory is seamlessly melded with practical application.
Your company's data has the potential to add enormous value to every facet of the organization -- from marketing and new product development to strategy to financial management. Yet if your company is like most, it's not using its data to create strategic advantage. Data sits around unused -- or incorrect data fouls up operations and decision making. In Data Driven, Thomas Redman, the "Data Doc," shows how to leverage and deploy data to sharpen your company's competitive edge and enhance its profitability. The author reveals: · The special properties that make data such a powerful asset · The hidden costs of flawed, outdated, or otherwise poor-quality data · How to improve data quality for competitive advantage · Strategies for exploiting your data to make better business decisions · The many ways to bring data to market · Ideas for dealing with political struggles over data and concerns about privacy rights Your company's data is a key business asset, and you need to manage it aggressively and professionally. Whether you're a top executive, an aspiring leader, or a product-line manager, this eye-opening book provides the tools and thinking you need to do that.
