Tools And Techniques For Effective Data Driven Decision Making
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Tools And Techniques For Effective Data Driven Decision Making
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Author : Philip Alan Streifer
language : en
Publisher: R&L Education
Release Date : 2004
Tools And Techniques For Effective Data Driven Decision Making written by Philip Alan Streifer and has been published by R&L Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Education categories.
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.
Data Driven Decision Making For Effective School Leadership
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Author : Anthony G. Picciano
language : en
Publisher: Prentice Hall
Release Date : 2006
Data Driven Decision Making For Effective School Leadership written by Anthony G. Picciano and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Education categories.
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.
Data Driven Decision Making
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Author : Chris O'Neal
language : en
Publisher: International Society for Technology in Education
Release Date : 2012-02-21
Data Driven Decision Making written by Chris O'Neal and has been published by International Society for Technology in Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-21 with Education categories.
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.
Data Driven Decision Making Using Analytics
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Author : Parul Gandhi
language : en
Publisher: CRC Press
Release Date : 2021-12-21
Data Driven Decision Making Using Analytics written by Parul Gandhi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-21 with Computers categories.
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.
Data Driven Approaches For Effective Managerial Decision Making
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Author : Anubha
language : en
Publisher: IGI Global
Release Date : 2023-05-08
Data Driven Approaches For Effective Managerial Decision Making written by Anubha and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-08 with Business & Economics categories.
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.
Data Driven Decision Making
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Author : Jeanne Poulose
language : en
Publisher: Palgrave Macmillan
Release Date : 2024-07-13
Data Driven Decision Making written by Jeanne Poulose and has been published by Palgrave Macmillan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-13 with Business & Economics categories.
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.
Data Analysis
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Author : Charles Nehme
language : en
Publisher: Charles Nehme
Release Date :
Data Analysis written by Charles Nehme and has been published by Charles Nehme this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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.
Data Driven Decision Making For Product Service Systems
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Author : Giuditta Pezzotta
language : en
Publisher: Springer Nature
Release Date :
Data Driven Decision Making For Product Service Systems written by Giuditta Pezzotta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Enhancing It Technology Management Through Data Driven Decision Making
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Author : Adedoyin Oyewole
language : en
Publisher:
Release Date : 2023
Enhancing It Technology Management Through Data Driven Decision Making written by Adedoyin Oyewole and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
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.
Business Analytics Volume I
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Author : Amar Sahay
language : en
Publisher:
Release Date : 2018-08-23
Business Analytics Volume I written by Amar Sahay and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-23 with Business & Economics categories.
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.