Shared Data Clusters

Praise for Shared Services A Manager's Journey «In Shared Services: A Manager's Journey, Dan presents the real business cultural challenges along with human factors when taking on such a change in a company's processes. A must-read for any executive, manager, or team member who is considering, decided to, or is already in the process of converting a company from a decentralized organization to a shared services environment.» -Katherine M. Ericsson Vice President of Membership, Project Management Institute of South Florida and director of a project management office, in a shared services environment within the distribution industry «A how-to/survival guide for those thinking about entering shared services or beginning the journey…for the rest of us, an entertaining look back at our journey both professionally and personally. A great read!» -Steve K. Stone Senior Vice President and CFO, Newspapers and Shared Services Morris Communications Company «Over the past fifteen years, I've had the pleasure of working directly with hundreds of companies who are implementing shared services. What is striking is how very different 'real experiences' are from the stories spun by consultants or keynote speakers at conferences. Getting to the 'real truth' of how to put the pieces together will help you keep consulting fees low and the probability of success high. This book is a practical guide created by someone who has been there. It is the truth!» -Mike Hostetler Managing Director, Shared Services Roundtable Corporate Executive Board

An innovative book for an innovative topic. Charles Hampden-Turner Like the subject matter it covers, Clusters of Creativity is innovative and original. It breaks with popular interpretations of Silicon Valley and similar regions, which range from the hyperbolically laudatory to the contemptuously dismissive, and takes a critical, objective look at the lessons that these locations provide about innovation and entrepreneurship. Readable, yet rigorous in its analyses, the book provides a practical and balanced set of perspectives on how the powers of business creativity are fostered and sustained. It focuses not so much on the generations of high technologies but on the motivations and strategies of business leaders who turn revolutionary innovations into commercial realities. Clusters of Creativity demystifies the many enigmas that surround two leading capitals of the modern global economy, providing insights on managing innovation and entrepreneurship that are both eye-opening and broadly applicable to all organizations and industries. Clusters of Creativity will challenge assumptions, dispel myths, enlighten, inspire, and generally provoke thought. In an age where technology and hyperbole frequently go hand-in-hand, the book's well-founded insights are all the more refreshing and important.

Shared Care Glaucoma provides concise, clear and user-friendly information for the non-ophthalmologist caring for glaucoma patients. It would also be an ideal text for ophthalmic trainees learning about glaucoma management and for generalist ophthalmologists who want to refresh their approach to their glaucoma care. The book covers the aetiology, classification, diagnosis and management of glaucoma under the four key sections: About Glaucoma, Detecting Progression, Treating Glaucoma and Specific Glaucoma Entities, enabling the reader to comfortably manage glaucoma patients and offering guidance on when they should refer, and to whom. Frequently asked questions are anticipated and logical responses given, supported by evidence from recent literature. That there are often no clear right and wrong decisions within many individual’s glaucoma management plan is well recognised and conveyed.

Practical guide for deriving insight and commercial gain from data Monetising Data offers a practical guide for anyone working with commercial data but lacking deep knowledge of statistics or data mining. The authors – noted experts in the field – show how to generate extra benefit from data already collected and how to use it to solve business problems. In accessible terms, the book details ways to extract data to enhance business practices and offers information on important topics such as data handling and management, statistical methods, graphics and business issues. The text presents a wide range of illustrative case studies and examples to demonstrate how to adapt the ideas towards monetisation, no matter the size or type of organisation. The authors explain on a general level how data is cleaned and matched between data sets and how we learn from data analytics to address vital business issues. The book clearly shows how to analyse and organise data to identify people and follow and interact with them through the customer lifecycle. Monetising Data is an important resource: Focuses on different business scenarios and opportunities to turn data into value Gives an overview on how to store, manage and maintain data Presents mechanisms for using knowledge from data analytics to improve the business and increase profits Includes practical suggestions for identifying business issues from the data Written for everyone engaged in improving the performance of a company, including managers and students, Monetising Data is an essential guide for understanding and using data to enrich business practice.

A dream come true for those looking to improve their data fluency Analytical data is a powerful tool for growing companies, but what good is it if it hides in the shadows? Bring your data to the forefront with effective visualization and communication approaches, and let Data Fluency: Empowering Your Organization with Effective Communication show you the best tools and strategies for getting the job done right. Learn the best practices of data presentation and the ways that reporting and dashboards can help organizations effectively gauge performance, identify areas for improvement, and communicate results. Topics covered in the book include data reporting and communication, audience and user needs, data presentation tools, layout and styling, and common design failures. Those responsible for analytics, reporting, or BI implementation will find a refreshing take on data and visualization in this resource, as will report, data visualization, and dashboard designers. Conquer the challenge of making valuable data approachable and easy to understand Develop unique skills required to shape data to the needs of different audiences Full color book links to bonus content at juiceanalytics.com Written by well-known and highly esteemed authors in the data presentation community Data Fluency: Empowering Your Organization with Effective Communication focuses on user experience, making reports approachable, and presenting data in a compelling, inspiring way. The book helps to dissolve the disconnect between your data and those who might use it and can help make an impact on the people who are most affected by data. Use Data Fluency today to develop the skills necessary to turn data into effective displays for decision-making.

Data Collection Data Collection is the second of six books in the Measurement and Evaluation Series from Pfeiffer. The proven ROI Methodology–developed by the ROI Institute–provides a practical system for evaluation planning, data collection, data analysis, and reporting. All six books in the series offer the latest tools, most current research, and practical advice for measuring ROI in a variety of settings. Data Collection offers an effective process for collecting data that is essential to the implementation of the ROI Methodology. The authors outline the techniques, processes, and critical issues involved in successful data collection. The book examines the various methods of data collection, including questionnaires, interviews, focus groups, observation, action plans, performance contracts, and monitoring records. Written for evaluators, facilitators, analysts, designers, coordinators, and managers, Data Collection is a valuable guide for collecting data that are adequate in quantity and quality to produce a complete and credible analysis.

Tap into the power of data science with this comprehensive resource for non-technical professionals Data Science: The Executive Summary – A Technical Book for Non-Technical Professionals  is a comprehensive resource for people in non-engineer roles who want to fully understand data science and analytics concepts. Accomplished data scientist and author Field Cady describes both the “business side” of data science, including what problems it solves and how it fits into an organization, and the technical side, including analytical techniques and key technologies.  Data Science: The Executive Summary covers topics like:  Assessing whether your organization needs data scientists, and what to look for when hiring them When Big Data is the best approach to use for a project, and when it actually ties analysts’ hands Cutting edge Artificial Intelligence, as well as classical approaches that work better for many problems How many techniques rely on dubious mathematical idealizations, and when you can work around them Perfect for executives who make critical decisions based on data science and analytics, as well as mangers who hire and assess the work of data scientists, Data Science: The Executive Summary also belongs on the bookshelves of salespeople and marketers who need to explain what a data analytics product does. Finally, data scientists themselves will improve their technical work with insights into the goals and constraints of the business situation.

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team Deploy a structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyzing big data Learn how to tell a compelling story with data to drive business action Prepare for EMC Proven Professional Data Science Certification Corresponding data sets are available at www.wiley.com/go/9781118876138. Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!

This book tackles the third major challenge and the second most difficult step in the ROI methodology: converting data to monetary values. When a particular project or program is connected to a business measure, the next logical question is: what is the monetary value of that impact? For ROI analysis, it is at this critical point where the monetary benefits are developed to compare to the costs of the program to calculate the ROI. Includes: the importance of converting data to monetary value; preliminary issues; standard values: the standard values: where to find them; using internal experts, using external databases; linking with other measures; using estimates; when to abandon conversion efforts and leave data as intangible, analyzing the intangibles; and reporting the intangibles.

Provides an introduction of the data industry to the field of economics This book bridges the gap between economics and data science to help data scientists understand the economics of big data, and enable economists to analyze the data industry. It begins by explaining data resources and introduces the data asset. This book defines a data industry chain, enumerates data enterprises’ business models versus operating models, and proposes a mode of industrial development for the data industry. The author describes five types of enterprise agglomerations, and multiple industrial cluster effects. A discussion on the establishment and development of data industry related laws and regulations is provided. In addition, this book discusses several scenarios on how to convert data driving forces into productivity that can then serve society. This book is designed to serve as a reference and training guide for ata scientists, data-oriented managers and executives, entrepreneurs, scholars, and government employees. Defines and develops the concept of a “Data Industry,” and explains the economics of data to data scientists and statisticians Includes numerous case studies and examples from a variety of industries and disciplines Serves as a useful guide for practitioners and entrepreneurs in the business of data technology The Data Industry: The Business and Economics of Information and Big Data is a resource for practitioners in the data science industry, government, and students in economics, business, and statistics. CHUNLEI TANG, Ph.D., is a research fellow at Harvard University. She is the co-founder of Fudan’s Institute for Data Industry and proposed the concept of the “data industry”. She received a Ph.D. in Computer and Software Theory in 2012 and a Master of Software Engineering in 2006 from Fudan University, Shanghai, China.