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Author: Marco Vriens
Publisher: Cognella Academic Publishing
ISBN: 9781793585851
Category :
Languages : en
Pages : 0
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Book Description
From Data to Decision: A Handbook for the Modern Business Analyst provides readers with a comprehensive guide to understanding the inherent value of business analytics, building critical skill sets to conduct effective analyses, deriving valuable insight from analyses, and guiding management and other personnel toward well-informed, strategic decisions that bolster the health of a company or organization. The opening chapter outlines the rise of analytics as a dedicated discipline, its role in business decision-making, and various types of analyses. Additional chapters introduce readers to data strategy, a framework for and process for analytics, and how to apply insights for maximum impact within companies and organizations. Students examine analysis methods including linear regression, logistic regression, conjoint analysis, decision trees, multi-dimensional scaling, factor analysis, and cluster analysis. The second edition features three new chapters--the analytics plan, reading numbers, and conjoint analysis--and includes significant revisions throughout the text, as well as revised language to streamline key concepts and make the book more approachable for readers. From Data to Decision is an ideal textbook for courses in business and analytics, and suitable for both undergraduate and graduate studies.
Author: Marco Vriens
Publisher: Cognella Academic Publishing
ISBN: 9781793585851
Category :
Languages : en
Pages : 0
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Book Description
From Data to Decision: A Handbook for the Modern Business Analyst provides readers with a comprehensive guide to understanding the inherent value of business analytics, building critical skill sets to conduct effective analyses, deriving valuable insight from analyses, and guiding management and other personnel toward well-informed, strategic decisions that bolster the health of a company or organization. The opening chapter outlines the rise of analytics as a dedicated discipline, its role in business decision-making, and various types of analyses. Additional chapters introduce readers to data strategy, a framework for and process for analytics, and how to apply insights for maximum impact within companies and organizations. Students examine analysis methods including linear regression, logistic regression, conjoint analysis, decision trees, multi-dimensional scaling, factor analysis, and cluster analysis. The second edition features three new chapters--the analytics plan, reading numbers, and conjoint analysis--and includes significant revisions throughout the text, as well as revised language to streamline key concepts and make the book more approachable for readers. From Data to Decision is an ideal textbook for courses in business and analytics, and suitable for both undergraduate and graduate studies.
Author: Chris O'Neal
Publisher: International Society for Technology in Education
ISBN: 1564844609
Category : Education
Languages : en
Pages : 149
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Book Description
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: 1452279667
Category : Education
Languages : en
Pages : 281
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Book Description
Connect data and instruction to improve practice 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
Author: Kim Schildkamp
Publisher: Springer Science & Business Media
ISBN: 9400748159
Category : Education
Languages : en
Pages : 221
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Book Description
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: Ann E. Watkins
Publisher: John Wiley & Sons
ISBN: 0470458518
Category : Mathematics
Languages : en
Pages : 1705
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Book Description
Statistics, 2nd Edition teaches statistics with a modern, data-analytic approach that uses graphing calculators and statistical software. It allows more emphasis to be put on statistical concepts and data analysis rather than following recipes for calculations. This gives readers a more realistic understanding of both the theoretical and practical applications of statistics, giving them the ability to master the subject.
Author: Philip Alan Streifer
Publisher: R&L Education
ISBN: 9781578861231
Category : Education
Languages : en
Pages : 170
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Book Description
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: Luiz Paulo Favero
Publisher: Academic Press
ISBN: 0128112174
Category : Business & Economics
Languages : en
Pages : 1246
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Book Description
Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, and IBM SPSS Statistics Software®. - Combines statistics and operations research modeling to teach the principles of business analytics - Written for students who want to apply statistics, optimization and multivariate modeling to gain competitive advantages in business - Shows how powerful software packages, such as SPSS and Stata, can create graphical and numerical outputs
Author: Thomas C. Redman
Publisher: Harvard Business Press
ISBN: 1422163644
Category : Business & Economics
Languages : en
Pages : 273
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Book Description
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: Paul Preuss
Publisher: Routledge
ISBN: 1317924134
Category : Education
Languages : en
Pages : 143
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Book Description
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: Anthony G. Picciano
Publisher: Prentice Hall
ISBN:
Category : Education
Languages : en
Pages : 260
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Book Description
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.
