Tools And Techniques For Effective Data Driven Decision Making

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Tools and Techniques for Effective Data-driven Decision Making

Philip Alan Streifer
Tools and Techniques for Effective Data driven Decision Making Book PDF

Author : Philip Alan Streifer
Publisher : R&L Education
Page : 170 pages
File Size : 52,6 Mb
Release : 2004
Category : Education
ISBN : 1578861233

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Tools and Techniques for Effective Data-driven Decision Making by Philip Alan Streifer Pdf

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.

The Data-Driven Project Manager

Mario Vanhoucke
The Data Driven Project Manager Book PDF

Author : Mario Vanhoucke
Publisher : Apress
Page : 164 pages
File Size : 44,6 Mb
Release : 2018-03-27
Category : Business & Economics
ISBN : 9781484234983

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The Data-Driven Project Manager by Mario Vanhoucke Pdf

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

Project Management Analytics

Harjit Singh
Project Management Analytics Book PDF

Author : Harjit Singh
Publisher : FT Press
Page : 412 pages
File Size : 42,8 Mb
Release : 2015-11-12
Category : Business & Economics
ISBN : 9780134190495

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Project Management Analytics by Harjit Singh Pdf

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

Data-driven Decision Making for Effective School Leadership

Anthony G. Picciano
Data driven Decision Making for Effective School Leadership Book PDF

Author : Anthony G. Picciano
Publisher : Prentice Hall
Page : 260 pages
File Size : 44,8 Mb
Release : 2006
Category : Education
ISBN : UVA:X004903184

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Data-driven Decision Making for Effective School Leadership by Anthony G. Picciano Pdf

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

Chris O'Neal
Data Driven Decision Making Book PDF

Author : Chris O'Neal
Publisher : International Society for Technology in Education
Page : 149 pages
File Size : 50,9 Mb
Release : 2012-02-21
Category : Education
ISBN : 9781564844606

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Data-Driven Decision Making by Chris O'Neal Pdf

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 Approaches for Effective Managerial Decision Making

Anubha,Sharma, Himanshu
Data Driven Approaches for Effective Managerial Decision Making Book PDF

Author : Anubha,Sharma, Himanshu
Publisher : IGI Global
Page : 354 pages
File Size : 48,7 Mb
Release : 2023-05-08
Category : Business & Economics
ISBN : 9781668475706

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Data-Driven Approaches for Effective Managerial Decision Making by Anubha,Sharma, Himanshu Pdf

In today’s 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 using Analytics

Parul Gandhi,Surbhi Bhatia,Kapal Dev
Data Driven Decision Making using Analytics Book PDF

Author : Parul Gandhi,Surbhi Bhatia,Kapal Dev
Publisher : CRC Press
Page : 150 pages
File Size : 48,7 Mb
Release : 2021-12-21
Category : Computers
ISBN : 9781000506433

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Data Driven Decision Making using Analytics by Parul Gandhi,Surbhi Bhatia,Kapal Dev Pdf

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 Leadership for K-12 Schools in a Time of Accountability

Mense, Evan G.,Crain-Dorough, Mindy
Data Leadership for K 12 Schools in a Time of Accountability Book PDF

Author : Mense, Evan G.,Crain-Dorough, Mindy
Publisher : IGI Global
Page : 332 pages
File Size : 47,5 Mb
Release : 2017-12-15
Category : Education
ISBN : 9781522531890

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Data Leadership for K-12 Schools in a Time of Accountability by Mense, Evan G.,Crain-Dorough, Mindy Pdf

The monitoring of data within educational institutions is essential to ensure the success of its students and faculty. By continually analyzing data, educational leaders can increase quality and productivity in their institutions. Data Leadership for K-12 Schools in a Time of Accountability explores techniques and processes of educational data analysis and its application in developing solutions and systems for instructional concerns and next-generation learning. Providing extensive research covering areas such as data-driven culture, student accountability, and data dissemination, this unique reference is essential for principals, administrators, practitioners, academicians, students, and educational consultants looking to maximize their institution’s performance.

Management Decision-Making, Big Data and Analytics

Simone Gressel,David J. Pauleen,Nazim Taskin
Management Decision Making Big Data and Analytics Book PDF

Author : Simone Gressel,David J. Pauleen,Nazim Taskin
Publisher : SAGE
Page : 354 pages
File Size : 51,9 Mb
Release : 2020-10-12
Category : Business & Economics
ISBN : 9781529738285

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Management Decision-Making, Big Data and Analytics by Simone Gressel,David J. Pauleen,Nazim Taskin Pdf

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.

Marketing Analytics

Rajkumar Venkatesan,Paul W. Farris,Ronald T. Wilcox
Marketing Analytics Book PDF

Author : Rajkumar Venkatesan,Paul W. Farris,Ronald T. Wilcox
Publisher : University of Virginia Press
Page : 278 pages
File Size : 54,7 Mb
Release : 2021-01-13
Category : Business & Economics
ISBN : 9780813945163

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Marketing Analytics by Rajkumar Venkatesan,Paul W. Farris,Ronald T. Wilcox Pdf

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.

Data Driven

Thomas C. Redman
Data Driven Book PDF

Author : Thomas C. Redman
Publisher : Harvard Business Press
Page : 257 pages
File Size : 48,5 Mb
Release : 2008-09-22
Category : Business & Economics
ISBN : 9781422163641

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Data Driven by Thomas C. Redman Pdf

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.

Restructuring Leadership for School Improvement and Reform

Abdallah, Asma Khaleel,Alkaabi, Ahmed M.
Restructuring Leadership for School Improvement and Reform Book PDF

Author : Abdallah, Asma Khaleel,Alkaabi, Ahmed M.
Publisher : IGI Global
Page : 550 pages
File Size : 41,6 Mb
Release : 2023-04-11
Category : Education
ISBN : 9781668478196

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Restructuring Leadership for School Improvement and Reform by Abdallah, Asma Khaleel,Alkaabi, Ahmed M. Pdf

The quality of school leadership has a big impact on improvement and inspection outcomes. Good school leaders ensure that their teachers have the resources they need to be successful. They also create a positive culture where teachers feel supported and appreciated. This leads to better morale and higher retention rates. Additionally, good school leaders can effectively communicate the school's vision to all stakeholders. This ensures that everyone is on the same page and working towards the same goals. Restructuring Leadership for School Improvement and Reform investigates cooperation, staff development, resource supply, vision transparency, workplace stress management, and professional development for school leaders as methods for creating a healthy school culture. This premier reference source is ideal for administrators, instructional designers, researchers, academicians, scholars, practitioners, instructors, and students.

The Dictionary of Artificial Intelligence

Utku Taşova
The Dictionary of Artificial Intelligence Book PDF

Author : Utku Taşova
Publisher : Entropol
Page : 565 pages
File Size : 49,9 Mb
Release : 2023-11-03
Category : Computers
ISBN : 8210379456XXX

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The Dictionary of Artificial Intelligence by Utku Taşova Pdf

Unveiling the Future: Your Portal to Artificial Intelligence Proficiency In the epoch of digital metamorphosis, Artificial Intelligence (AI) stands as the vanguard of a new dawn, a nexus where human ingenuity intertwines with machine precision. As we delve deeper into this uncharted realm, the boundary between the conceivable and the fantastical continually blurs, heralding a new era of endless possibilities. The Dictionary of Artificial Intelligence, embracing a compendium of 3,300 meticulously curated titles, endeavors to be the torchbearer in this journey of discovery, offering a wellspring of knowledge to both the uninitiated and the adept. Embarking on the pages of this dictionary is akin to embarking on a voyage through the vast and often turbulent seas of AI. Each entry serves as a beacon, illuminating complex terminologies, core principles, and the avant-garde advancements that characterize this dynamic domain. The dictionary is more than a mere compilation of terms; it's a labyrinth of understanding waiting to be traversed. The Dictionary of Artificial Intelligence is an endeavor to demystify the arcane, to foster a shared lexicon that enhances collaboration, innovation, and comprehension across the AI community. It's a mission to bridge the chasm between ignorance and insight, to unravel the intricacies of AI that often seem enigmatic to the outsiders. This profound reference material transcends being a passive repository of terms; it’s an engagement with the multifaceted domain of artificial intelligence. Each title encapsulated within these pages is a testament to the audacity of human curiosity and the unyielding quest for advancement that propels the AI domain forward. The Dictionary of Artificial Intelligence is an invitation to delve deeper, to grapple with the lexicon of a field that stands at the cusp of redefining the very fabric of society. It's a conduit through which the curious become enlightened, the proficient become masters, and the innovators find inspiration. As you traverse through the entries of The Dictionary of Artificial Intelligence, you are embarking on a journey of discovery. A journey that not only augments your understanding but also ignites the spark of curiosity and the drive for innovation that are quintessential in navigating the realms of AI. We beckon you to commence this educational expedition, to explore the breadth and depth of AI lexicon, and to emerge with a boundless understanding and an unyielding resolve to contribute to the ever-evolving narrative of artificial intelligence. Through The Dictionary of Artificial Intelligence, may your quest for knowledge be as boundless and exhilarating as the domain it explores.

Data Driven Decision Making

Jeanne Poulose,Vinod Sharma,Chandan Maheskar
Data Driven Decision Making Book PDF

Author : Jeanne Poulose,Vinod Sharma,Chandan Maheskar
Publisher : Palgrave Macmillan
Page : 0 pages
File Size : 47,7 Mb
Release : 2024-07-13
Category : Business & Economics
ISBN : 9819729017

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Data Driven Decision Making by Jeanne Poulose,Vinod Sharma,Chandan Maheskar Pdf

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.

Using Traditional Design Methods to Enhance AI-Driven Decision Making

Nguyen, Tien V. T.,Vo, Nhut T. M.
Using Traditional Design Methods to Enhance AI Driven Decision Making Book PDF

Author : Nguyen, Tien V. T.,Vo, Nhut T. M.
Publisher : IGI Global
Page : 528 pages
File Size : 40,7 Mb
Release : 2024-01-10
Category : Computers
ISBN : 9798369306406

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Using Traditional Design Methods to Enhance AI-Driven Decision Making by Nguyen, Tien V. T.,Vo, Nhut T. M. Pdf

In the rapidly evolving landscape of industrial activities, artificial intelligence (AI) has emerged as a powerful force driving transformative change. Among its many applications, AI has proven to be instrumental in reducing processing costs associated with optimization challenges. The intersection of AI with optimization and multi-criteria decision making (MCDM) techniques has led to practical solutions in diverse fields such as manufacturing, transportation, finance, economics, and artificial intelligence. Using Traditional Design Methods to Enhance AI-Driven Decision Making delves into a wide array of topics related to optimization, decision-making, and their applications. Drawing on foundational contributions, system developments, and innovative techniques, the book explores the synergy between traditional design methods and AI-driven decision-making approaches. The book is ideal for higher education faculty and administrators, students of higher education, librarians, researchers, graduate students, and academicians. Contributors are invited to explore a wide range of topics, including the role of AI-driven decision-making in leadership, trends in AI-driven decision-making in Industry 5.0, applications in various industries such as manufacturing, transportation, healthcare, and banking services, as well as AI-driven optimization in mechanical engineering and materials.