This book shares key insights into system performance and management analytics, demonstrating how the field of analytics is currently changing and how it is used to monitor companies’ efforts to drive performance.Managing business performance facilitates the effective accomplishment of strategic and operational goals, and there is a clear and direct correlation between using performance management applications and improved business and organizational results. As such, performance and management analytics can yield a range of direct and indirect benefits, boost operational efficiency and unlock employees’ latent potential, while at the same time aligning services with overarching goals.The book addresses a range of topics, including software reliability assessment, testing, quality management, system-performance management, analysis using soft-computing techniques, and management analytics. It presents a balanced, holistic approach to viewing the world from both a technical and managerial perspective by considering performance and management analytics. Accordingly, it offers a comprehensive guide to one of the most pressing issues in today’s technology-dominated world, namely, that most companies and organizations find themselves awash in a sea of data, but lack the human capital, appropriate tools and knowledge to use it to help them create a competitive edge.

Practical introduction to a novel system of performance measurement for a variety of enterprises, written for practitioners and students alike.

Praise for Praise for Performance Management: Integrating Strategy Execution, Methodologies, Risk, and Analytics "A highly accessible collection of essays on contemporary thinking in performance management. Readers will get excellent overviews on the Balanced Scorecard, strategy maps, incentives, management accounting, activity-based costing, customer lifetime value, and sustainable shareholder value creation." —Robert S. Kaplan, Harvard Business School; coauthor of The Balanced Scorecard: Translating Strategy into Action, The Execution Premium, and many other books "Gary Cokins demonstrates in this book that performance management is not a mysterious black art, but a structured, process-oriented discipline. If you want your performance management system to be a smoothly running analytical machine, read and apply the ideas in this book—it's all you need." —Thomas H. Davenport, President's Distinguished Professor of Information Technology and Management, Babson College; coauthor of Competing on Analytics: The New Science of Winning "Drawing on a deep reservoir of knowledge and experience gained from hundreds of customer engagements around the world, Gary Cokins offers an authoritative examination of the major dimensions of performance management. Cokins not only paints a rich and textured view of the major principles and concepts driving performance management implementations, he offers a nuanced look at the important subtleties that can spell the difference between success and failure. This is an informative and enjoyable text to read!" —Wayne Eckerson, Director of Research, The Data Warehouse Institute (TDWI); author of Performance Dashboards: Measuring, Monitoring, and Managing Your Business "[In this] very insightful book, the view of an integrated performance management framework with a goal to link various operational activities with business strategy is an excellent approach to manage and improve business. Gary's explanation of risk-based performance management, for providing the capability to achieve long-term objectives with reliably calculated risks, is definitely thought provoking." —Srini Pallia, Global Head and Vice President of Business Technology Services, Wipro Technologies, Bangalore, India "Gary Cokins is clearly one of the world's thought leaders in the area of performance management, and the need for integrated performance management, improvement and execution is clearly at a premium in these challenging economic times. This book is a must read for CEOs, CFOs, and management accountants around the globe seeking higher levels of sustainable business performance for their stakeholders." —Jeffrey C. Thomson, President and CEO, Institute of Management Accountants

Straightforward playbook for executing world-class strategy for tangible results Designed with three key ideas: leverage the tools that are working, simplify the model, and make the content readable for managers, Managing Performance in Turbulent Times is a road map for the modern strategy manager. Through their simplified execution process the authors—performance management experts—show executives how to get results and execute even in the most difficult conditions. Addresses importance of adaptability to change within today's business environment Explores the environmental turbulence that constantly confounds virtually all organizational systems, with workable solutions Provides a streamlined execution process any organization can use to improve business results Managers need tools to do their jobs better. Filled with proven solutions, this book reveals how to get results through successful strategy execution, presenting a process that will help your organization execute strategy in a simplified, efficient manner.

Big data analytics utilizes a wide range of software and analytical tools to provide immediate, relevant information for efficient decision-making. Companies are recognizing the immense potential of BDA, but ensuring the data is appropriate and error-free is the largest hurdle in implementing BDA applications. The Handbook of Research on Organizational Transformations through Big Data Analytics not only catalogues the existing platforms and technologies, it explores new trends within the field of big data analytics (BDA). Containing new and existing research materials and insights on the various approaches to BDA; this publication is intended for researchers, IT professionals, and CIOs interested in the best ways to implement BDA applications and technologies.

Strategic analytics is a relatively new field in conjunction with strategic management and business intelligence. Generally, the strategic management field deals with the enhancement of the decision-making capabilities of managers. Typically, such decision-making processes are heavily dependent upon various internal and external reports. Managers need to develop their strategies using clear strategy processes supported by the increasing availability of data. This situation calls for a different approach to strategy, including integration with analytics, as the science of extracting value from data and structuring complex problems. Using Strategy Analytics to Measure Corporate Performance and Business Value Creation discusses how to tackle complex business dynamics using optimization techniques and modern business analytics tools. It covers not only introductory concepts of strategic analytics but also provides strategic analytics applications in each area of management such as market dynamics, customer analysis, operations, and people management. It unveils the best industry practices and how managers can become expert strategists and analysts to better measure and enhance corporate performance and their businesses. This book is ideal for analysts, executives, managers, entrepreneurs, researchers, students, industry professionals, stakeholders, practitioners, academicians, and others interested in the strategic analytics domain and how it can be applied to complex business dynamics.

Healthcare Organizations offer significant opportunities for change and improvement in their overall performance. Hospitals and clinics are generally large, complex, and inefficient, and need serious development in process workflow and management systems, which will ultimately lead to better patient and financial outcomes. The National Academy of Medicine has stated that hospital systems are broken, and that they must begin by "... improving hospital efficiency and patient flow, and using operational management methods and information technologies." In fact, costs and quality are two of the important aspects of the "triple aim" in healthcare. One area that offers significant potential for improvement is through the application of performance improvement methods to patient and process flows. Performance improvement has a significant impact on a hospital’s over financial and strategic performance. Performance improvement involves the deployment of quantitative and scientific methods to model and influence the functioning of organizations. Performance improvement professionals are tasked with managing a variety of activities, such as deploying new information technologies, serving as project managers for construction events, re-engineering departmental process workflow, eliminating bottlenecks, and improving the flow and movement of patients between resource-intensive clinical areas. All of these are high risk, and require use of advanced, sophisticated methods to improve efficiency and quality, while minimizing disruptions from change. This updated edition is a comprehensive and concise guide to performance improvement in healthcare. It describes the management engineering principles focused on designing optimal management and information systems and processes. Case studies and examples are integrated throughout all chapters.

This book presents a detailed review of high-performance computing infrastructures for next-generation big data and fast data analytics. Features: includes case studies and learning activities throughout the book and self-study exercises in every chapter; presents detailed case studies on social media analytics for intelligent businesses and on big data analytics (BDA) in the healthcare sector; describes the network infrastructure requirements for effective transfer of big data, and the storage infrastructure requirements of applications which generate big data; examines real-time analytics solutions; introduces in-database processing and in-memory analytics techniques for data mining; discusses the use of mainframes for handling real-time big data and the latest types of data management systems for BDA; provides information on the use of cluster, grid and cloud computing systems for BDA; reviews the peer-to-peer techniques and tools and the common information visualization techniques, used in BDA.

"International Institute for Analytics"--Dust jacket.

Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems (ITS), including the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. It presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies. All fundamentals/concepts presented in this book are explained in the context of ITS. Users will learn everything from the basics of different ITS data types and characteristics to how to evaluate alternative data analytics for different ITS applications. They will discover how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. Data Analytics for Intelligent Transportation Systems will prepare an educated ITS workforce and tool builders to make the vision for safe, reliable, and environmentally sustainable intelligent transportation systems a reality. It serves as a primary or supplemental textbook for upper-level undergraduate and graduate ITS courses and a valuable reference for ITS practitioners. - Utilizes real ITS examples to facilitate a quicker grasp of materials presented - Contains contributors from both leading academic and commercial domains - Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications - Includes exercise problems in each chapter to help readers apply and master the learned fundamentals, concepts, and techniques - New to the second edition: Two new chapters on Quantum Computing in Data Analytics and Society and Environment in ITS Data Analytics