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Author : Sherese Bishop
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (14 download)
Download or read book Using Data-Driven Decision-Making to Enhance Performance written by Sherese Bishop and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Parul Gandhi
Publisher : CRC Press
ISBN 13 : 1000506495
Total Pages : 135 pages
Book Rating : 4.0/5 (5 download)
Download or read book Data Driven Decision Making using Analytics written by Parul Gandhi and published by CRC Press. This book was released on 2021-12-21 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to explain Data Analytics towards decision making in terms of models and algorithms, theoretical concepts, applications, experiments in relevant domains or focused on specific issues. It explores the concepts of database technology, machine learning, knowledge-based system, high performance computing, information retrieval, finding patterns hidden in large datasets and data visualization. Also, it presents various paradigms including pattern mining, clustering, classification, and data analysis. Overall aim is to provide technical solutions in the field of data analytics and data mining. Features: Covers descriptive statistics with respect to predictive analytics and business analytics. Discusses different data analytics platforms for real-time applications. Explain SMART business models. Includes algorithms in data sciences alongwith automated methods and models. Explores varied challenges encountered by researchers and businesses in the realm of real-time analytics. This book aims at researchers and graduate students in data analytics, data sciences, data mining, and signal processing.
Author : Chris O'Neal
Publisher : International Society for Technology in Education
ISBN 13 : 1564844609
Total Pages : 149 pages
Book Rating : 4.5/5 (648 download)
Download or read book Data-Driven Decision Making written by Chris O'Neal and published by International Society for Technology in Education. This book was released on 2012-02-21 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: This workbook will serve as your guide to incorporating the data-driven decision making process into your organization’s culture and behavior. O’Neal leads you through setting up teams; warehousing, accessing, and examining data; and finally reflecting on your process. Understand what’s happening in your school environment and how you can make better decisions that will keep you on a path to success.
Author : Ellen B. Mandinach
Publisher : Corwin Press
ISBN 13 : 1412982049
Total Pages : 281 pages
Book Rating : 4.4/5 (129 download)
Download or read book Transforming Teaching and Learning Through Data-Driven Decision Making written by Ellen B. Mandinach and published by Corwin Press. This book was released on 2012-04-10 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Gathering data and using it to inform instruction is a requirement for many schools, yet educators are not necessarily formally trained in how to do it. This book helps bridge the gap between classroom practice and the principles of educational psychology. Teachers will find cutting-edge advances in research and theory on human learning and teaching in an easily understood and transferable format. The text's integrated model shows teachers, school leaders, and district administrators how to establish a data culture and transform quantitative and qualitative data into actionable knowledge based on: assessment; statistics; instructional and differentiated psychology; classroom management."--Publisher's description.
Author : Ellen Goldring
Publisher : Corwin Press
ISBN 13 : 1452209529
Total Pages : 217 pages
Book Rating : 4.4/5 (522 download)
Download or read book Leading With Data written by Ellen Goldring and published by Corwin Press. This book was released on 2008-09-17 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive, practical guide to using data effectively for school improvement! This hands-on guidebook explains essential statistical and assessment information to help principals make critical and sustainable choices to promote student learning. Broad-based strategies include collecting and analyzing various types of data about student achievement, professional development, allocation of resources, family involvement, and community standards. Part of theLeadership for Learning series, this resource: Supports school leaders in developing and sustaining continuous improvement Links data-based decision making with issues of accountability and shared mission and goals Includes numerous examples and cases, a glossary, school improvement template, sample forms, and data tools
Author : Mario Vanhoucke
Publisher : Apress
ISBN 13 : 1484234987
Total Pages : 164 pages
Book Rating : 4.4/5 (842 download)
Download or read book The Data-Driven Project Manager written by Mario Vanhoucke and published by Apress. This book was released on 2018-03-27 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover solutions to common obstacles faced by project managers. Written as a business novel, the book is highly interactive, allowing readers to participate and consider options at each stage of a project. The book is based on years of experience, both through the author's research projects as well as his teaching lectures at business schools. The book tells the story of Emily Reed and her colleagues who are in charge of the management of a new tennis stadium project. The CEO of the company, Jacob Mitchell, is planning to install a new data-driven project management methodology as a decision support tool for all upcoming projects. He challenges Emily and her team to start a journey in exploring project data to fight against unexpected project obstacles. Data-driven project management is known in the academic literature as “dynamic scheduling” or “integrated project management and control.” It is a project management methodology to plan, monitor, and control projects in progress in order to deliver them on time and within budget to the client. Its main focus is on the integration of three crucial aspects, as follows: Baseline Scheduling: Plan the project activities to create a project timetable with time and budget restrictions. Determine start and finish times of each project activity within the activity network and resource constraints. Know the expected timing of the work to be done as well as an expected impact on the project’s time and budget objectives. Schedule Risk Analysis: Analyze the risk of the baseline schedule and its impact on the project’s time and budget. Use Monte Carlo simulations to assess the risk of the baseline schedule and to forecast the impact of time and budget deviations on the project objectives. Project Control: Measure and analyze the project’s performance data and take actions to bring the project on track. Monitor deviations from the expected project progress and control performance in order to facilitate the decision-making process in case corrective actions are needed to bring projects back on track. Both traditional Earned Value Management (EVM) and the novel Earned Schedule (ES) methods are used. What You'll Learn Implement a data-driven project management methodology (also known as "dynamic scheduling") which allows project managers to plan, monitor, and control projects while delivering them on time and within budget Study different project management tools and techniques, such as PERT/CPM, schedule risk analysis (SRA), resource buffering, and earned value management (EVM) Understand the three aspects of dynamic scheduling: baseline scheduling, schedule risk analysis, and project control Who This Book Is For Project managers looking to learn data-driven project management (or "dynamic scheduling") via a novel, demonstrating real-time simulations of how project managers can solve common project obstacles
Author : Philip Alan Streifer
Publisher : R&L Education
ISBN 13 : 9781578861231
Total Pages : 170 pages
Book Rating : 4.8/5 (612 download)
Download or read book Tools and Techniques for Effective Data-driven Decision Making written by Philip Alan Streifer and published by R&L Education. This book was released on 2004 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the new federal law, No Child Left Behind, there is ever increasing pressure on schools to be accountable for improving student achievement. That pressure is taking the form of focused efforts around data-driven decision making. However, very little is known about what data-driven decision making can really tell one about improving achievement nor is there a full explanation available about what it really takes to do this work. The few examples that do exist, while proposing to get at some of these issues, make huge assumptions about educators' knowledge base and available resources necessary for success. In this book, Philip Streifer fills the gaps by laying out how this work can be done and then explains what is knowable when one actually conducts these analyses and what follow-up steps are needed to make true improvements. He provides readers with a comprehensive understanding of what data-driven decision making can and cannot tell educators about student achievement and addresses the related issues for leadership, policy development, and accountability. Senior level district administration for policy development, school level administrators who have to put policy into practice, and graduate college professors teaching data-driven decision making will find this book most useful.
Author : Jenny Dearborn
Publisher : John Wiley & Sons
ISBN 13 : 1119043123
Total Pages : 260 pages
Book Rating : 4.1/5 (19 download)
Download or read book Data Driven written by Jenny Dearborn and published by John Wiley & Sons. This book was released on 2015-03-02 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: A "how-to" guide to boosting sales through predictive and prescriptive analytics Data Driven is a uniquely practical guide to increasing sales success, using the power of data analytics. Written by one of the world's leading authorities on the topic, this book shows you how to transform the corporate sales function by leveraging big data into better decision-making, more informed strategy, and increased effectiveness throughout the organization. Engaging and informative, this book tells the story of a newly hired sales chief under intense pressure to deliver higher performance from her team, and how data analytics becomes the ultimate driver behind the sales function turnaround. Each chapter features insightful commentary and practical notes on the points the story raises, and one entire chapter is devoted solely to laying out the Prescriptive Action Model step-by-step giving you the actionable guidance you need to put it into action in your own organization. Predictive and prescriptive analytics is poised to change corporate sales, and companies that fail to adapt to the new realities and adopt the new practices will be left behind. This book explains why the Prescriptive Action Model is the key corporate sales weapon of the 21st Century, and how you can implement this dynamic new resource to bring value to your business. Exploit one of the last remaining sources of competitive advantage Re-engineer the sales function to optimize success rates Implement a more effective analytics model to drive efficient change Boost operational effectiveness and decision making with big data There are fewer competitive edges to gain than ever before. The only thing that's left is to execute business with maximum efficiency and make the smartest business decisions possible. Predictive analytics is the essential method behind this new standard, and Data Driven is the practical guide to complete, efficient implementation.
Author : Alex J. Bowers
Publisher : IAP
ISBN 13 : 1623967880
Total Pages : 281 pages
Book Rating : 4.6/5 (239 download)
Download or read book Using Data in Schools to Inform Leadership and Decision Making written by Alex J. Bowers and published by IAP. This book was released on 2014-11-01 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our fifth book in the International Research on School Leadership series focuses on the use of data in schools and districts as useful information for leadership and decision making. Schools are awash in data and information, from test scores, to grades, to discipline reports, and attendance as just a short list of student information sources, while additional streams of data feed into schools and districts from teachers and parents as well as local, regional and national policy levels. To deal with the data, schools have implemented a variety of data practices, from data rooms, to data days, data walks, and data protocols. However, despite the flood of data, successful school leaders are leveraging an analysis of their school’s data as a means to bring about continuous improvement in an effort to improve instruction for all students. Nevertheless, some drown, some swim, while others find success. Our goal in this book volume is to bring together a set of chapters by authors who examine successful data use as it relates to leadership and school improvement. In particular, the chapters in this volume consider important issues in this domain, including: • How educational leaders use data to inform their practice. • What types of data and data analysis are most useful to successful school leaders. • To what extent are data driven and data informed practices helping school leaders positively change instructional practice? • In what ways does good data collection and analysis feed into successful continuous improvement and holistic systems thinking? • How have school leadership practices changed as more data and data analysis techniques have become available? • What are the major obstacles facing school leaders when using data for decision making and how do they overcome them?
Author : Bernard Marr
Publisher : Kogan Page Publishers
ISBN 13 : 0749482478
Total Pages : 265 pages
Book Rating : 4.7/5 (494 download)
Download or read book Data-Driven HR written by Bernard Marr and published by Kogan Page Publishers. This book was released on 2018-04-03 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Singh, Sonia
Publisher : IGI Global
ISBN 13 :
Total Pages : 515 pages
Book Rating : 4.3/5 (693 download)
Download or read book Data-Driven Decision Making for Long-Term Business Success written by Singh, Sonia and published by IGI Global. This book was released on 2023-12-21 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's academic environment, the challenge of ensuring lasting commercial and economic success for organizations has become more daunting than ever before. The relentless surge in data-driven decision-making, based on innovative technologies such as blockchain, IoT, and AI, has created a digital frontier filled with complexity. Maintaining a healthy firm that can continually provide innovative products and services to the public while fueling economic growth has become a formidable puzzle. Moreover, this digital transformation has ushered in new risks, from pervasive cybersecurity threats to the ethical challenges surrounding artificial intelligence. In this evolving landscape, academic scholars face the pressing challenge of deciphering the path to long-term organizational prosperity in an era dominated by data. Data-Driven Decision Making for Long-Term Business Success serves as guidance and insights amidst this academic challenge. It is the definitive solution for scholars seeking to uncover the complexities of data-driven decision-making and its profound impact on organizational success. Each meticulously curated chapter delves into a specific facet of this transformative journey, from the implications of modern technologies and pricing optimization to the ethics underpinning data-driven strategies and the metaverse's influence on decision-making.
Author : Adedoyin Oyewole
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (14 download)
Download or read book Enhancing IT Technology Management Through Data-Driven Decision-Making written by Adedoyin Oyewole and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research study aims to investigate the impact, challenges, and benefits of data-driven decision-making in IT technology from an organizational perspective.In today's rapidly evolving technological landscape, organizations increasingly rely on data-driven decision-making to drive their IT technology management strategies. By exploring the intersection of data analytics, IT management, and decision-making processes, this research aims to provide insights into how organizations can leverage data-driven approaches to optimize IT operations and enhance overall IT performance.This research aims to bridge the gap between data analytics and IT technology management by providing evidence-based insights and practical recommendations for organizations to enhance their decision-making processes in the context of IT technology. By embracing data-driven approaches, organizations can leverage the power of data to make informed, timely, and strategic decisions, ultimately driving innovation, improving operational efficiency, and gaining a competitive edge in the digital era.The study will make use of a mixed-methods research approach, combining qualitative and quantitative techniques to collect and analyze data. Through in-depth interviews with IT managers and data analytics professionals, the qualitative phase will explore the organizational factors that influence data-driven decision-making, including organizational culture, leadership support, and the role of data analytics teams. Case studies will also be conducted to examine successful implementations of data-driven decision-making in IT technology management.The quantitative phase of the research will involve the collection and analysis of quantitative data from organizations practicing data-driven decision-making in their IT technology management. Data will be gathered on key performance indicators such as operational efficiency, cost optimization, and customer satisfaction to assess the impact and effectiveness of data-driven decision-making initiatives. Statistical techniques, including regression analysis and correlation analysis, will be employed to identify relationships between data-driven decision-making practices and organizational outcomes.The findings of this research will contribute significantly to the body of knowledge on data-driven decision-making in IT technology management. By identifying best practices, challenges, and opportunities, organizations will gain valuable insights into how to leverage data analytics, ensure data quality, and address ethical considerations for effective decision-making.The research outcomes will serve as a guide for organizations seeking to adopt and implement data-driven decision-making practices, enabling them to improve IT performance, optimize resource allocation, and align IT strategies with organizational goals.
Author : Minghai Zheng
Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.3/5 (949 download)
Download or read book How to Use Data-Driven Insights to Optimize Performance and Achieve Results written by Minghai Zheng and published by Independently Published. This book was released on 2023-05-17 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 1. #DataDrivenInsights - Discover the power of data-driven insights to optimize performance and achieve results with this insightful book. 2. #PerformanceOptimization - Performance optimization involves using data to make informed decisions. Learn how to achieve your goals with this helpful guidebook. 3. #BusinessIntelligence - Business intelligence is important for making strategic decisions. Find out how to leverage data for business intelligence with this informative read. 4. #DecisionMaking - Effective decision making involves understanding and utilizing data. Learn how to make better decisions with this comprehensive guidebook. 5. #SuccessStrategies - Explore success strategies for leveraging data to achieve optimal performance and results with this must-read book. In today's data-driven business environment, organizations of all sizes are collecting vast amounts of data on their operations, customers, and markets. However, simply collecting data is not enough; to achieve results, organizations must be able to turn that data into actionable insights that drive performance optimization. In this book, we will explore the key principles and strategies for using data-driven insights to optimize performance and achieve results. From data analytics to business intelligence, from forecasting to machine learning, we will delve into the key components of a successful data-driven approach and show how they can be developed and implemented. At the heart of this book is the idea that data-driven insights are essential for optimizing performance and achieving results. By leveraging data and analytics, organizations can identify inefficiencies, uncover opportunities, and make more informed decisions that drive growth and success. Throughout this book, we will draw on real-world examples and case studies to illustrate the importance of data-driven insights and to demonstrate how they can be used in practice. We will provide practical tips and tools for developing the skills and mindset necessary for data-driven decision-making, and show how these insights can be applied across a range of industries and sectors. Whether you are a business leader, a manager, or an employee looking to improve your organization's performance, this book will provide valuable insights and actionable advice for using data-driven insights to optimize performance and achieve results. So let's dive in and explore the key principles and strategies for data-driven success! MingHai Zheng is a writer based in Wuhan, China, who focuses on writing articles about workplace and management topics. He has written hundreds of articles on these topics and is dedicated to sharing his insights and experiences with others who are interested in improving their careers and their businesses.
Author : Paul Preuss
Publisher : Routledge
ISBN 13 : 1317924134
Total Pages : 143 pages
Book Rating : 4.3/5 (179 download)
Download or read book Data-Driven Decision Making and Dynamic Planning written by Paul Preuss and published by Routledge. This book was released on 2013-09-27 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will help you understand how to integrate data-based decisions into the daily work of the school. It is a practical and relevant handbook for converting data into wise decision-making and planning. It will give you the skills to successfully make data-based decisions, measure student learning and program effectiveness, evaluate student progress, use data to improve instruction, integrate a "Dynamic Planning" process into the daily operation of your school.
Author : Jerry Z. Muller
Publisher : Princeton University Press
ISBN 13 : 0691191263
Total Pages : 245 pages
Book Rating : 4.6/5 (911 download)
Download or read book The Tyranny of Metrics written by Jerry Z. Muller and published by Princeton University Press. This book was released on 2019-04-30 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: How the obsession with quantifying human performance threatens business, medicine, education, government—and the quality of our lives Today, organizations of all kinds are ruled by the belief that the path to success is quantifying human performance, publicizing the results, and dividing up the rewards based on the numbers. But in our zeal to instill the evaluation process with scientific rigor, we've gone from measuring performance to fixating on measuring itself—and this tyranny of metrics now threatens the quality of our organizations and lives. In this brief, accessible, and powerful book, Jerry Muller uncovers the damage metrics are causing and shows how we can begin to fix the problem. Filled with examples from business, medicine, education, government, and other fields, the book explains why paying for measured performance doesn't work, why surgical scorecards may increase deaths, and much more. But Muller also shows that, when used as a complement to judgment based on personal experience, metrics can be beneficial, and he includes an invaluable checklist of when and how to use them. The result is an essential corrective to a harmful trend that increasingly affects us all.
Author : Jenny Dearborn
Publisher : John Wiley & Sons
ISBN 13 : 111938222X
Total Pages : 166 pages
Book Rating : 4.1/5 (193 download)
Download or read book The Data Driven Leader written by Jenny Dearborn and published by John Wiley & Sons. This book was released on 2017-09-29 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data is your most valuable leadership asset—here's how to use it The Data Driven Leader presents a clear, accessible guide to solving important leadership challenges through human resources-focused and other data analytics. This engaging book shows you how to transform the HR function and overall organizational effectiveness by using data to make decisions grounded in facts vs. opinions, identify root causes behind your company’s thorniest problems and move toward a winning, future-focused business strategy. Realistic and actionable, this book tells the story of a successful sales executive who, after leading an analytics-driven turnaround (in Data Driven, this book’s predecessor), faces a new turnaround challenge as chief human resources officer. Each chapter features insightful commentary and practical notes on the points the story raises, guiding you to put HR analytics into action in your organization. HR and other leaders cannot afford to overlook the power and competitive advantages of data-driven decision-making and strategies. This book reflects the growing trend of CEOs choosing analytics-minded business leaders to head HR, at a time when workplaces everywhere face game-changing forces including automation, robotics and artificial intelligence. It is urgent that human resources leaders embrace analytics, not only to remain professionally relevant but also to help their organizations successfully navigate this digital transformation. HR professionals can and must: Understand essential data science principles and corporate analytics models Identify and execute effective data analytics initiatives Boost HR and company productivity and performance with metrics that matter Shape an analytics-centric culture that generates data driven leaders Most organizations capture and report data, but data is useless without analysis that leads to action. The Data Driven Leader shows you how to use this tremendous asset to lead your organization higher.
Author : Kim Schildkamp
Publisher : Springer Science & Business Media
ISBN 13 : 9400748159
Total Pages : 221 pages
Book Rating : 4.4/5 (7 download)
Download or read book Data-based Decision Making in Education written by Kim Schildkamp and published by Springer Science & Business Media. This book was released on 2012-09-18 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a context where schools are held more and more accountable for the education they provide, data-based decision making has become increasingly important. This book brings together scholars from several countries to examine data-based decision making. Data-based decision making in this book refers to making decisions based on a broad range of evidence, such as scores on students’ assessments, classroom observations etc. This book supports policy-makers, people working with schools, researchers and school leaders and teachers in the use of data, by bringing together the current research conducted on data use across multiple countries into a single volume. Some of these studies are ‘best practice’ studies, where effective data use has led to improvements in student learning. Others provide insight into challenges in both policy and practice environments. Each of them draws on research and literature in the field.
