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Tools And Techniques For Effective Data Driven Decision Making
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Book Synopsis Tools and Techniques for Effective Data-driven Decision Making by : Philip Alan Streifer
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 :Chris O'Neal Publisher :International Society for Technology in Education ISBN 13 :1564844609 Total Pages :149 pages Book Rating :4.5/5 (648 download)
Book Synopsis Data-Driven Decision Making by : Chris O'Neal
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.
Book Synopsis Project Management Analytics by : Harjit Singh
Download or read book Project Management Analytics written by Harjit Singh and published by FT Press. This book was released on 2015-11-12 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: To manage projects, you must not only control schedules and costs: you must also manage growing operational uncertainty. Today’s powerful analytics tools and methods can help you do all of this far more successfully. In Project Management Analytics, Harjit Singh shows how to bring greater evidence-based clarity and rationality to all your key decisions throughout the full project lifecycle. Singh identifies the components and characteristics of a good project decision and shows how to improve decisions by using predictive, prescriptive, statistical, and other methods. You’ll learn how to mitigate risks by identifying meaningful historical patterns and trends; optimize allocation and use of scarce resources within project constraints; automate data-driven decision-making processes based on huge data sets; and effectively handle multiple interrelated decision criteria. Singh also helps you integrate analytics into the project management methods you already use, combining today’s best analytical techniques with proven approaches such as PMI PMBOK® and Lean Six Sigma. Project managers can no longer rely on vague impressions or seat-of-the-pants intuition. Fortunately, you don’t have to. With Project Management Analytics, you can use facts, evidence, and knowledge—and get far better results. Achieve efficient, reliable, consistent, and fact-based project decision-making Systematically bring data and objective analysis to key project decisions Avoid “garbage in, garbage out” Properly collect, store, analyze, and interpret your project-related data Optimize multi-criteria decisions in large group environments Use the Analytic Hierarchy Process (AHP) to improve complex real-world decisions Streamline projects the way you streamline other business processes Leverage data-driven Lean Six Sigma to manage projects more effectively
Book Synopsis Data-driven Decision Making for Effective School Leadership by : Anthony G. Picciano
Download or read book Data-driven Decision Making for Effective School Leadership written by Anthony G. Picciano and published by Prentice Hall. This book was released on 2006 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brief ContentsPrefacePrologue Concepts and Foundations of Data-Driven Decision Making Introduction to Data-Driven Decision Making Planning and Developing Information Resources Hardware, Software, and People Educational Research Methods and Tools Teachers and Administrators as Researchers Basic Applications Student Data, Demographics, and Enrollments School and the Community Financial Management and Budgeting Supporting Teaching and Learning Supporting Teachers and Their Professional Development Technical Support Review of Statistical Routines Used in this Book Introduction to Spreadsheet Software Introduction to the Statistical Package for the Social Sciences (SPSS) Database Management Terms and Sample Outline Internet Resources for Data-Driven Decision MakingGlossaryIndex Contents PrefacePrologue Concepts and Foundations of Data-Driven Decision Making Introduction to Data-Driven Decision Making Rationale for Adopting Data-Driven Decision Making Purpose of This Book Defining Data-Driven Decision Making An Old Idea: Knowledge Is Power Need for Planning The Systems Approach Organization of This Book SummaryReferences Planning and Developing Information Resources School Districts Take the Lead Defining Information Needs Database Management Systems Long-Term and Short-Term Data Resources SummaryCase StudyReferences Hardware, Software, and People A Brief Look at Infrastructure Hardware for Effective Data Management and Access Client-Server Architecture Software for Data Analysis Developing People Resources The Data Analyst SummaryCase StudyReferences Educational Research Methods and Tools The Scientific Method and Educational Research Educational Research Methods Ethnographic Research Historical Research Descriptive Research Correlational Research Causal Comparative Research Experimental Research Action Research Data Collection Tools Direct Observation Structured Interviews Document Analysis Surveys Test Instruments SummaryCase StudyReferences Teachers and Administrators as Researchers Learning Communities Action Research in Action Trial Testing a Peer Tutoring Program Multiple Intelligences in a Foreign Language Program Advancing to an Inclusion Program SummaryActivitiesReferences Basic Applications Student Data, Demographics, and Enrollments Student Data Enrollment Projections at the District Level Attendance Zones and Individual Schools Taking a Census Special Student Populations SummaryActivitiesReferences School and the Community Partnering with the Community: Broad-Based Surveys Anatomy of a Survey Who Will Participate in the Survey? What Data Will Be Collected? Data Analysis Is the Sample Representative of the High School Population? Do Students Have Access to the Internet? The Committee's Next Steps SummaryActivitiesReferences Financial Management and Budgeting Basic Terminology School District Budget School Budget The Canton Alternative School Budget Emergency SummaryActivitiesReferences Supporting Teaching and Learning States, Cities, Districts, Schools, Classes, Teachers, Students Improving Teaching and Learning Jefferson Middle School Developing a Plan Information Overload: A Caution SummaryActivitiesReferences Supporting Teachers and Their Professional Development Summative and Formative Evaluation Collecting Personnel Data Kingsland School District Case Study Keeping Track of Professional Development SummaryActivitiesReferences Technical Support Review of Statistical Routines Used in this Book Key Terms Descriptive Statistical Procedures Frequency Distributions Contingency Tables (Crosstabulations) Measures of Central Tendency Measures of Dispersion Measures of Relationship Correlational Coefficient Linear Regression Caution Introduction to Spreadsheet Software Overview and Key Terms Spreadsheet Structure Data Types and Data Manipulation Charts and Graphics Introduction to the Statistical Package for the Social Sciences (SPSS) Overview The Data Editor Creating a Data Set Defining Variables Transforming Data Options Data Analysis Procedures and the Output Viewer Graphs and Charts Database Management Terms and Sample Outline Internet Resources for Data-Driven Decision MakingGlossaryIndex.
Book Synopsis Management Decision-Making, Big Data and Analytics by : Simone Gressel
Download or read book Management Decision-Making, Big Data and Analytics written by Simone Gressel and published by SAGE. This book was released on 2020-10-12 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies, examples and a ‘critical incidents’ feature that make these topics engaging and relevant for students of business and management. The book features chapters on cutting-edge topics, including: • Big data • Analytics • Managing emerging technologies and decision-making • Managing the ethics, security, privacy and legal aspects of data-driven decision-making The book is accompanied by an Instructor’s Manual, PowerPoint slides and access to journal articles. Suitable for management students studying business analytics and decision-making at undergraduate, postgraduate and MBA levels.
Book Synopsis Transforming Teaching and Learning Through Data-Driven Decision Making by : Ellen B. Mandinach
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.
Book Synopsis Mastering Big Data Analytics by : Dr G Manimala
Download or read book Mastering Big Data Analytics written by Dr G Manimala and published by Notion Press. This book was released on 2024-08-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data analytics is the process of examining large volumes of data to uncover hidden patterns, correlations, and other useful information that can be used to make informed business decisions. It involves a complex interplay of technologies, tools, and human expertise. In today's data-driven world, organizations are inundated with vast amounts of information from diverse sources. The ability to harness this data and extract meaningful insights is no longer a luxury but a necessity for survival and growth. Big data analytics empowers businesses to make data-driven decisions, optimize operations, and gain a competitive edge. This book is your comprehensive guide to mastering the art and science of big data analytics. We delve into the core concepts, tools, techniques, and best practices that form the foundation of successful data-driven initiatives. Whether you're a seasoned data scientist, a business analyst seeking to expand your skill set, or a curious enthusiast, this book will equip you with the knowledge and skills to unlock the full potential of your data.
Book Synopsis Data-Driven Approaches for Effective Managerial Decision Making by : Anubha
Download or read book Data-Driven Approaches for Effective Managerial Decision Making written by Anubha and published by IGI Global. This book was released on 2023-05-08 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: In todays competitive market, a manager must be able to look at data, understand it, analyze it, and then interpret it to design a smart business strategy. Big data is also a valuable source of information on how customers interact with firms through various mediums such as social media platforms, online reviews, and many more. The applications and uses of business analytics are numerous and must be further studied to ensure they are utilized appropriately. Data-Driven Approaches for Effective Managerial Decision Making investigates management concepts and applications using data analytics and outlines future research directions. The book also addresses contemporary advancements and innovations in the field of management. Covering key topics such as big data, business intelligence, and artificial intelligence, this reference work is ideal for managers, business owners, industry professionals, researchers, scholars, academicians, practitioners, instructors, and students.
Book Synopsis Data Driven Decision Making using Analytics by : Parul Gandhi
Download or read book Data Driven Decision Making using Analytics written by Parul Gandhi and published by CRC Press. This book was released on 2021-12-16 with total page 151 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.
Book Synopsis Creating a Data-Driven Organization by : Carl Anderson
Download or read book Creating a Data-Driven Organization written by Carl Anderson and published by "O'Reilly Media, Inc.". This book was released on 2015-07-23 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.
Book Synopsis Driven by Data by : Paul Bambrick-Santoyo
Download or read book Driven by Data written by Paul Bambrick-Santoyo and published by John Wiley & Sons. This book was released on 2010-04-12 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offers a practical guide for improving schools dramatically that will enable all students from all backgrounds to achieve at high levels. Includes assessment forms, an index, and a DVD.
Book Synopsis Data Driven Decision Making by : Jeanne Poulose
Download or read book Data Driven Decision Making written by Jeanne Poulose and published by Palgrave Macmillan. This book was released on 2024-07-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book delves into contemporary business analytics techniques across sectors for critical decision-making. It combines data, mathematical and statistical models, and information technology to present alternatives for decision evaluation. Offering systematic mechanisms, it explores business contexts, factors, and relationships to foster competitiveness. Beyond managerial perspectives, it includes contributions from professionals, academics, and scholars worldwide, delivering comprehensive knowledge and skills through diverse viewpoints, cases, and applications of analytical tools. As an international business science reference, it targets professionals, academics, researchers, doctoral scholars, postgraduate students, and research organizations seeking a nuanced understanding of modern business analytics.
Book Synopsis Business Analytics, Volume I by : Amar Sahay
Download or read book Business Analytics, Volume I written by Amar Sahay and published by . This book was released on 2018-08-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with Business Analytics (BA) - an emerging area in modern business decision making. Business analytics is a data driven decision making approach that uses statistical and quantitative analysis along with data mining, management science, and fact-based data to measure past business performance to guide an organization in business planning and effective decision making. Business Analytics tools are also used to predict future business outcomes with the help of forecasting and predictive modeling.In this age of technology, massive amount of data are collected by companies. Successful companies use their data as an asset and use them for competitive advantage. Business Analytics is helping businesses in making informed business decisions and automating and optimizing business processes.Successful business analytics depends on the quality of data. Skilled analysts, who understand the technologies and their business, use business analytics tools as an organizational commitment to data-driven decision making.
Book Synopsis Data-Driven Decision Making for Product Service Systems by : Giuditta Pezzotta
Download or read book Data-Driven Decision Making for Product Service Systems written by Giuditta Pezzotta and published by Springer Nature. This book was released on with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Data-Driven School Improvement by : Ellen B. Mandinach
Download or read book Data-Driven School Improvement written by Ellen B. Mandinach and published by Teachers College Press. This book was released on 2008 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first comprehensive examination of the field, this book brings together stakeholders representing a variety of perspectives to explore how educators actually use data and technology tools to achieve lasting improvement in student performance. Contributors: David V. Abbott, Carrie Amon, Jonathan Bertfield, Cornelia Brunner, Fred Carrigg, Jere Confrey, Katherine Conoly, Valerie M. Crawford, Chris Dede, John Gasko, Greg Gunn, Juliette Heinze, Naomi Hupert, Sherry P. King, Mary Jane Kurabinski, Daniel Light, Lisa Long, Michael Merrill, Liane Moody, William R. Penuel, Luz M. Rivas, Mark S. Schlager, John Stewart, Sam Stringfield, Ronald Thorpe, Yukie Toyama, Jeffrey C. Wayman, and Viki M. Young. If you want to understand usable knowledge, read Data-Driven School Improvement. Ellen Condliffe Lagemann, Harvard University It is reassuring to know that at least some of the data being generated in our data-driven age are being used to make wiser decisions. We can all learn from these illustrative accounts. David C. Berliner, Mary Lou Fulton College of Education, Arizona State University Replete with examples from real schools and districts, this volume provides a multi-layered portrait of what it takes to establish a culture of data use. Readers will come away with an appreciation of the systemic changes needed to reap the full potential of data-driven decision making. Barbara Means, Center for Technology in Learning, SRI International
Book Synopsis Data Analytics for Business: Leveraging Data for Strategic Insights by : Michael Roberts
Download or read book Data Analytics for Business: Leveraging Data for Strategic Insights written by Michael Roberts and published by Richards Education. This book was released on with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the modern business landscape, data is more valuable than ever. "Data Analytics for Business: Leveraging Data for Strategic Insights" is a comprehensive guide designed to help businesses harness the power of data analytics to drive decision-making, improve operations, and gain competitive advantage. This book covers the entire spectrum of data analytics, from foundational concepts to advanced techniques, with practical examples and real-world case studies. Whether you are a business leader, data professional, or aspiring analyst, this handbook equips you with the knowledge and skills to transform raw data into actionable insights that propel your organization forward. Embrace the future of business intelligence and unlock the full potential of data analytics.
Download or read book Data Analysis written by Charles Nehme and published by Charles Nehme. This book was released on with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the ever-evolving landscape of business, data analysis has emerged as a powerful tool for decision-making, innovation, and competitive advantage. This book delves into the intricacies of data analysis and its practical applications in the corporate realm. Embark on a journey through the world of data analysis, exploring its fundamental concepts, methodologies, and real-world applications. Unveiling the Power of Data Analysis In this comprehensive guide, we delve into the fundamental principles of data analysis, enabling you to harness the power of data to drive business success. We begin by defining data analysis and its multifaceted role in business operations. Next, we embark on a journey through the different types of data analysis, each serving a distinct purpose in uncovering valuable insights. Data Collection and Preparation: Laying the Foundation Effective data analysis hinges on the quality and integrity of the data being analyzed. This chapter delves into meticulous data collection practices, emphasizing the importance of identifying reliable sources, ensuring data quality, and transforming data into a usable format. Exploratory Data Analysis (EDA): Unveiling Hidden Patterns EDA serves as the cornerstone of data analysis, enabling us to explore and understand the underlying structure of data. This chapter introduces you to various EDA techniques, equipping you with the tools to identify trends, patterns, and relationships within data sets. Data Modeling: Unleashing the Predictive Power of Data Data modeling takes data analysis to the next level, enabling us to create predictive models that forecast future outcomes. This chapter explores a range of data modeling techniques, from descriptive statistics to machine learning algorithms, demonstrating how to harness the predictive power of data. Data Visualization: Communicating Insights Effectively Data visualization plays a crucial role in translating complex data into clear and compelling visualizations. This chapter introduces you to various data visualization charts and graphs, along with their applications in communicating insights effectively to stakeholders. Decision Making with Data: Empowering Informed Choices Data analysis is not merely about collecting and analyzing data; it's about transforming data into actionable insights that drive informed decision-making. This chapter explores the role of data in supporting decision-making processes, emphasizing the importance of integrating data analysis into the decision-making framework. Data Ethics and Privacy: Navigating the Ethical Landscape With the growing reliance on data, ethical considerations have become paramount. This chapter delves into the ethical principles governing data collection, storage, and use, ensuring responsible data analysis and compliance with data protection regulations. Data Governance and Management: Ensuring Data Quality and Compliance Data governance establishes a framework for managing data effectively, ensuring its quality, security, and compliance. This chapter explores data governance frameworks and principles, providing guidance on implementing data governance practices in businesses. Case Studies of Data Analysis in Business: Real-world Applications Data analysis has revolutionized various business functions, from marketing and sales to customer service and operations. This chapter showcases real-world case studies that demonstrate the impact of data analysis on businesses, illustrating how data can be used to create competitive advantages and drive innovation. The Future of Data Analysis: Embracing Emerging Trends The world of data analysis is constantly evolving, with emerging trends such as big data, artificial intelligence, and machine learning transforming the way businesses collect, analyze, and use data. This chapter explores these emerging trends, highlighting their potential to transform businesses and drive innovation in the future. Embrace the Data Revolution In conclusion, this comprehensive guide equips you with the knowledge and skills to harness the power of data analysis and empower your business to make informed decisions, drive innovation, and achieve sustainable growth. As the world becomes increasingly data-driven, data analysis has emerged as a critical skill for businesses of all sizes. Embrace the data revolution and unlock the transformative potential of data analysis for your organization.
