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Data-driven Organization Design

Author : Rupert Morrison

Publisher : Kogan Page Publishers

Page : 368 pages

File Size : 11,31 MB

Release : 2015-10-03

Category : Business & Economics

ISBN : 0749474424

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Book Description

SHORTLISTED: CMI Management Book of the Year 2017 - Management Futures Category Data is changing the nature of competition. Making sense of it is tough; taking advantage of it is even tougher. There is a clear business opportunity for organizations to use data and analytics to transform business performance. 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 so everyone performs to their potential and organizations have a hope of getting and sustaining a competitive edge. Data-driven Organization Design shows how to collect the right data on organizations, present it meaningfully and ask the right questions of it to help complex, fluid organizations constantly evolve and meet moving objectives. Through the use of case studies, practical tips, and sample exercises, it explains in detail how to use data and analytics to connect all the elements of the system so you can design an environment for people to perform, an organization which has the right people, in the right place, doing the right things, at the right time. Whether you are looking to implement a long-term transformation, large redesign, or a one-off small scale project, Data-driven Organization Design will guide you through making the most of organizational data and analytics to drive business performance.



Data-Driven Organization Design

Author : Rupert Morrison

Publisher : Kogan Page Publishers

Page : 441 pages

File Size : 17,40 MB

Release : 2021-10-03

Category : Business & Economics

ISBN : 1398603279

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Book Description

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.



Creating a Data-Driven Organization

Author : Carl Anderson

Publisher : "O'Reilly Media, Inc."

Page : 300 pages

File Size : 25,4 MB

Release : 2015-07-23

Category : Business & Economics

ISBN : 1491916885

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Book Description

"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.



Organization Design

Author : Nicolay Worren

Publisher : Routledge

Page : 348 pages

File Size : 29,25 MB

Release : 2018-05-20

Category : Business & Economics

ISBN : 1351383639

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Book 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.



Data-Driven Design and Construction

Author : Randy Deutsch

Publisher : John Wiley & Sons

Page : 385 pages

File Size : 24,48 MB

Release : 2015-08-27

Category : Architecture

ISBN : 1118899261

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Book Description

“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.



Data Driven

Author : DJ Patil

Publisher : "O'Reilly Media, Inc."

Page : 29 pages

File Size : 31,80 MB

Release : 2015-01-05

Category : Computers

ISBN : 1491925477

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Book Description

Succeeding with data isn’t just a matter of putting Hadoop in your machine room, or hiring some physicists with crazy math skills. It requires you to develop a data culture that involves people throughout the organization. In this O’Reilly report, DJ Patil and Hilary Mason outline the steps you need to take if your company is to be truly data-driven—including the questions you should ask and the methods you should adopt. You’ll not only learn examples of how Google, LinkedIn, and Facebook use their data, but also how Walmart, UPS, and other organizations took advantage of this resource long before the advent of Big Data. No matter how you approach it, building a data culture is the key to success in the 21st century. You’ll explore: Data scientist skills—and why every company needs a Spock How the benefits of giving company-wide access to data outweigh the costs Why data-driven organizations use the scientific method to explore and solve data problems Key questions to help you develop a research-specific process for tackling important issues What to consider when assembling your data team Developing processes to keep your data team (and company) engaged Choosing technologies that are powerful, support teamwork, and easy to use and learn



Networked, Scaled, and Agile

Author : Amy Kates

Publisher : Kogan Page Publishers

Page : 201 pages

File Size : 45,2 MB

Release : 2021-03-03

Category : Business & Economics

ISBN : 1789667801

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Book Description

While technology and geopolitical forces change the face of business today, the patterns and challenges of organizing humans to work together across organization, culture, language and time zone boundaries remain. To face these challenges, all organizations need to be agile, networked and scalable. Networked, Scaled, and Agile reveals how to shape organizations that will enable people to make faster and better decisions in a more complex world. By outlining the tension between the need for agility/differentiation and scale/integration, the book offers a new way to think about this debate using the models of the Tower (vertical integration) and the Square (horizontal integration). It addresses the role of the leadership team and how the organization design process can build C-suite leaders and successors. Each chapter concludes with a series of reflection questions for leaders as well as a summary of key concepts and tips. Including case studies from global organizations, Networked, Scaled, and Agile reveals how organization design can address three of the biggest business challenges organizations face today: how to build a new capability across the entire enterprise; how to make the entire organization more customer-centric; and how to allow for faster innovation.



Data Mesh

Author : Zhamak Dehghani

Publisher : "O'Reilly Media, Inc."

Page : 387 pages

File Size : 37,75 MB

Release : 2022-03-08

Category : Computers

ISBN : 1492092363

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Book Description

Many enterprises are investing in a next-generation data lake, hoping to democratize data at scale to provide business insights and ultimately make automated intelligent decisions. In this practical book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today's organizations. A distributed data mesh is a better choice. Dehghani guides architects, technical leaders, and decision makers on their journey from monolithic big data architecture to a sociotechnical paradigm that draws from modern distributed architecture. A data mesh considers domains as a first-class concern, applies platform thinking to create self-serve data infrastructure, treats data as a product, and introduces a federated and computational model of data governance. This book shows you why and how. Examine the current data landscape from the perspective of business and organizational needs, environmental challenges, and existing architectures Analyze the landscape's underlying characteristics and failure modes Get a complete introduction to data mesh principles and its constituents Learn how to design a data mesh architecture Move beyond a monolithic data lake to a distributed data mesh.



Data Driven

Author : Thomas C. Redman

Publisher : Harvard Business Press

Page : 273 pages

File Size : 26,19 MB

Release : 2008-09-22

Category : Business & Economics

ISBN : 1422163644

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Book Description

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.



Data-Driven Personas

Author : Bernard J. Jansen

Publisher : Springer Nature

Page : 317 pages

File Size : 47,27 MB

Release : 2022-05-31

Category : Computers

ISBN : 3031022319

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Book Description

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.