Data Driven Decisions PDF Download
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| Author | : Paul Preuss |
| Publisher | : Routledge |
| Total Pages | : 143 |
| Release | : 2013-09-27 |
| Genre | : Education |
| ISBN | : 1317924134 |
Download Data-Driven Decision Making and Dynamic Planning Book in PDF, ePub and Kindle
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 | : Ellen B. Mandinach |
| Publisher | : Corwin Press |
| Total Pages | : 281 |
| Release | : 2012-04-10 |
| Genre | : Business & Economics |
| ISBN | : 1412982049 |
Download Transforming Teaching and Learning Through Data-Driven Decision Making Book in PDF, ePub and Kindle
"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 | : Theodore J. Kowalski |
| Publisher | : Pearson |
| Total Pages | : 0 |
| Release | : 2008 |
| Genre | : Education |
| ISBN | : 9780205496686 |
Download Data-driven Decisions and School Leadership Book in PDF, ePub and Kindle
This book integrates theory and practice in decision-making, with a specific focus on data-driven decision making. Applications are demonstrated in the contexts of administration, supervision, and teaching. The book provides a unique contribution to the literature in this field in that the studies of decision theory and data-based decision making are integrated. Focusing on educators assuming leadership roles in school improvement, the book's content is equally relevant for administrators, supervisors, and teachers. The book, however, is centered on data-driven decision making, both as a requirement of the No Child Left Behind Act and as a normative professional standard. Issues related to accumulating, storing, and protecting data in districts and schools also are covered. Applications in administration, supervision, and teaching are demonstrated.
| Author | : Rajkumar Venkatesan |
| Publisher | : University of Virginia Press |
| Total Pages | : 278 |
| Release | : 2021-01-13 |
| Genre | : Business & Economics |
| ISBN | : 081394516X |
Download Marketing Analytics Book in PDF, ePub and Kindle
The authors of the pioneering Cutting-Edge Marketing Analytics return to the vital conversation of leveraging big data with Marketing Analytics: Essential Tools for Data-Driven Decisions, which updates and expands on the earlier book as we enter the 2020s. As they illustrate, big data analytics is the engine that drives marketing, providing a forward-looking, predictive perspective for marketing decision-making. The book presents actual cases and data, giving readers invaluable real-world instruction. The cases show how to identify relevant data, choose the best analytics technique, and investigate the link between marketing plans and customer behavior. These actual scenarios shed light on the most pressing marketing questions, such as setting the optimal price for one’s product or designing effective digital marketing campaigns. Big data is currently the most powerful resource to the marketing professional, and this book illustrates how to fully harness that power to effectively maximize marketing efforts.
| Author | : Thomas C. Redman |
| Publisher | : Harvard Business Press |
| Total Pages | : 257 |
| Release | : 2008-09-22 |
| Genre | : Business & Economics |
| ISBN | : 1422163644 |
Download Data Driven Book in PDF, ePub and Kindle
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.
| Author | : Chris O'Neal |
| Publisher | : International Society for Technology in Education |
| Total Pages | : 149 |
| Release | : 2012-02-21 |
| Genre | : Education |
| ISBN | : 1564844609 |
Download Data-Driven Decision Making Book in PDF, ePub and Kindle
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 | : Kim Schildkamp |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 221 |
| Release | : 2012-09-18 |
| Genre | : Education |
| ISBN | : 9400748159 |
Download Data-based Decision Making in Education Book in PDF, ePub and Kindle
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.
| Author | : Michael Luca |
| Publisher | : MIT Press |
| Total Pages | : 229 |
| Release | : 2021-03-02 |
| Genre | : Business & Economics |
| ISBN | : 0262542277 |
Download The Power of Experiments Book in PDF, ePub and Kindle
How tech companies like Google, Airbnb, StubHub, and Facebook learn from experiments in our data-driven world—an excellent primer on experimental and behavioral economics Have you logged into Facebook recently? Searched for something on Google? Chosen a movie on Netflix? If so, you've probably been an unwitting participant in a variety of experiments—also known as randomized controlled trials—designed to test the impact of different online experiences. Once an esoteric tool for academic research, the randomized controlled trial has gone mainstream. No tech company worth its salt (or its share price) would dare make major changes to its platform without first running experiments to understand how they would influence user behavior. In this book, Michael Luca and Max Bazerman explain the importance of experiments for decision making in a data-driven world. Luca and Bazerman describe the central role experiments play in the tech sector, drawing lessons and best practices from the experiences of such companies as StubHub, Alibaba, and Uber. Successful experiments can save companies money—eBay, for example, discovered how to cut $50 million from its yearly advertising budget—or bring to light something previously ignored, as when Airbnb was forced to confront rampant discrimination by its hosts. Moving beyond tech, Luca and Bazerman consider experimenting for the social good—different ways that governments are using experiments to influence or “nudge” behavior ranging from voter apathy to school absenteeism. Experiments, they argue, are part of any leader's toolkit. With this book, readers can become part of “the experimental revolution.”
| Author | : Parul Gandhi |
| Publisher | : CRC Press |
| Total Pages | : 135 |
| Release | : 2021-12-21 |
| Genre | : Computers |
| ISBN | : 1000506495 |
Download Data Driven Decision Making using Analytics Book in PDF, ePub and Kindle
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 | : Subhashish Samaddar |
| Publisher | : |
| Total Pages | : |
| Release | : 2020-11-21 |
| Genre | : |
| ISBN | : 9780999766965 |
Download Data Driven Decisions Book in PDF, ePub and Kindle
This book is intended for the students and teachers of evidence based decision making, especially when the evidences are obtained from numerical facts. It specifically covers business modeling, decision analytics, and forecasting. All planning and decision making start with some estimation of what the future holds for a business and thus, we need to forecast the future. Generally, there can be more than one forecast for most real situations based on the model one uses to forecast them. Business modeling can help us with calculating what those multiple forecasts of the future mean for the things that the business is interested in, such as profit, costs, pay off, returns etc. These are also called outcomes. Once we get the forecasts depicting the future, we can devise and assess multiple actions, and choose one of them that get the best outcome for the business. Decision analytics help us with this assessment. This book is best used for problem based learning and instruction. Problem based learning introduces the problem first for the students to work on, along with the instructor. Students learn by doing. They can practice multiple problems for practice until the underlying principles and lessons are understood and absorbed. Then the formal theories and principles are presented to make sense of what the students have already done and learned. This can also be called reversed learning because it reverses the process of the traditional learning method of theory first and problem solving later. The first of the book provides the problem and the second half of the book provides brief theories and principles, and solutions of the problems.
