Download or read book Data Driven Approaches for Effective Managerial Decision Making written by Anubha and published by Business Science Reference. This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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

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 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.

Download or read book The Data Driven Project Manager written by Mario Vanhoucke and published by Apress. This book was released on 2018-03-27 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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.

Download or read book Data based Decision Making in Education written by Kim Schildkamp and published by Springer Science & Business Media. This book was released on 2012-09-18 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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.

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.

Download or read book The Data Driven Leader written by Jenny Dearborn and published by John Wiley & Sons. This book was released on 2017-10-06 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data is your most valuable leadership asset—here's how to use it The Data Driven Leader presents a clear, accessible guide to solving important leadership challenges through human resources-focused and other data analytics. This engaging book shows you how to transform the HR function and overall organizational effectiveness by using data to make decisions grounded in facts vs. opinions, identify root causes behind your company’s thorniest problems and move toward a winning, future-focused business strategy. Realistic and actionable, this book tells the story of a successful sales executive who, after leading an analytics-driven turnaround (in Data Driven, this book’s predecessor), faces a new turnaround challenge as chief human resources officer. Each chapter features insightful commentary and practical notes on the points the story raises, guiding you to put HR analytics into action in your organization. HR and other leaders cannot afford to overlook the power and competitive advantages of data-driven decision-making and strategies. This book reflects the growing trend of CEOs choosing analytics-minded business leaders to head HR, at a time when workplaces everywhere face game-changing forces including automation, robotics and artificial intelligence. It is urgent that human resources leaders embrace analytics, not only to remain professionally relevant but also to help their organizations successfully navigate this digital transformation. HR professionals can and must: Understand essential data science principles and corporate analytics models Identify and execute effective data analytics initiatives Boost HR and company productivity and performance with metrics that matter Shape an analytics-centric culture that generates data driven leaders Most organizations capture and report data, but data is useless without analysis that leads to action. The Data Driven Leader shows you how to use this tremendous asset to lead your organization higher.

Download or read book Data Driven Decision Making for Long Term Business Success written by Singh, Sonia and published by IGI Global. This book was released on 2023-12-21 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's academic environment, the challenge of ensuring lasting commercial and economic success for organizations has become more daunting than ever before. The relentless surge in data-driven decision-making, based on innovative technologies such as blockchain, IoT, and AI, has created a digital frontier filled with complexity. Maintaining a healthy firm that can continually provide innovative products and services to the public while fueling economic growth has become a formidable puzzle. Moreover, this digital transformation has ushered in new risks, from pervasive cybersecurity threats to the ethical challenges surrounding artificial intelligence. In this evolving landscape, academic scholars face the pressing challenge of deciphering the path to long-term organizational prosperity in an era dominated by data. Data-Driven Decision Making for Long-Term Business Success serves as guidance and insights amidst this academic challenge. It is the definitive solution for scholars seeking to uncover the complexities of data-driven decision-making and its profound impact on organizational success. Each meticulously curated chapter delves into a specific facet of this transformative journey, from the implications of modern technologies and pricing optimization to the ethics underpinning data-driven strategies and the metaverse's influence on decision-making.

Download or read book Decision Driven Analytics written by Bart De Langhe and published by University of Pennsylvania Press. This book was released on 2024-05-14 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: Companies have more data at their fingertips than ever before. Yet, studies show that most executives and organizations fail to extract real value from it. Challenging the conventional wisdom of data-driven decision-making, marketing professors and behavioral scientists Bart De Langhe and Stefano Puntoni argue that many analytics efforts flounder because data analyses are disconnected from the decisions to be made. In their important book, they offer a new approach they call decision-driven analytics. Counterintuitively, they argue that the key to making good decisions with data is to start by putting data in the background. Drawing from their own research and teaching, as well as real-world business cases, De Langhe and Puntoni offer four pillars of decision-driven analytics and guide you around common mistakes that have held back many organizations from using data for impact. In Decision-Driven Analytics, you will learn how to: + Avoid common pitfalls in data-driven decision-making; + Close the gap between managers and decision-making on one side, and data scientists and data analytics on the other; + Enhance the impact of data analytics on business outcomes; + Think without data to make better decisions; + Prepare for artificial intelligence’s impact on data analytics; and + Evaluate the costs and benefits of decision-driven analytics. A must-read for anyone who wants to harness the power of data for competitive advantage, Decision-Driven Analytics will equip you with the skills and tools you need to more effectively use data for business outcomes and to make better decisions in today’s complex and data-rich world.

Download or read book The Data Driven Leader written by Jenny Dearborn and published by John Wiley & Sons. This book was released on 2017-11-06 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data is your most valuable leadership asset—here's how to use it The Data Driven Leader presents a clear, accessible guide to solving important leadership challenges through human resources-focused and other data analytics. This engaging book shows you how to transform the HR function and overall organizational effectiveness by using data to make decisions grounded in facts vs. opinions, identify root causes behind your company’s thorniest problems and move toward a winning, future-focused business strategy. Realistic and actionable, this book tells the story of a successful sales executive who, after leading an analytics-driven turnaround (in Data Driven, this book’s predecessor), faces a new turnaround challenge as chief human resources officer. Each chapter features insightful commentary and practical notes on the points the story raises, guiding you to put HR analytics into action in your organization. HR and other leaders cannot afford to overlook the power and competitive advantages of data-driven decision-making and strategies. This book reflects the growing trend of CEOs choosing analytics-minded business leaders to head HR, at a time when workplaces everywhere face game-changing forces including automation, robotics and artificial intelligence. It is urgent that human resources leaders embrace analytics, not only to remain professionally relevant but also to help their organizations successfully navigate this digital transformation. HR professionals can and must: Understand essential data science principles and corporate analytics models Identify and execute effective data analytics initiatives Boost HR and company productivity and performance with metrics that matter Shape an analytics-centric culture that generates data driven leaders Most organizations capture and report data, but data is useless without analysis that leads to action. The Data Driven Leader shows you how to use this tremendous asset to lead your organization higher.

Download or read book Data Science for Decision Makers Data Professionals written by Eric Van Der Steen and published by Passionned Publishers. This book was released on 2021-03-15 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to embed data science, Big Data and AI in your organization's decision-making process and make your organization more data-driven, profitable, and intelligent in 10 steps. Book description This book covers every aspect of the implementation of data science, from the algorithms that make your decisions more refined, effective and faster to the people, skills, culture, and mindset required to make it happen. How do you set the right KPIs and targets? How are the best data-driven organizations structured? Why do you need a data warehouse or data lake? How do you manage a data science project? This book tackles every question relevant to implementing data science. Many organizations start by collecting data without a goal, but that data science approach is doomed to fail. This book takes you through the process of implementing data science from the ground floor all the way to the top. It all starts with the question: what do we want to achieve? It covers all the subsequent steps on a macro and micro level, from the process of registering data, to processing it, to the organization's response. All the relevant data science techniques and technologies are discussed, from algorithms and AI to the right management strategies. Based on many practical case studies and best practices, this book reveals what works and what doesn't. Benefit from the author's many years of experience in making organizations more intelligent and data-driven as a consultant and an educator. What you will learn - The most important benefits of data science. - The essential aspects of decision making and the role of data science. - How to determine the right KPIs and use them to manage effectively. - How to turn data into knowledge and information. - How to make your organization more agile. - The many types of algorithms that can be used to make more effective decisions on every level. - How to manage data science projects - who and what do you need to effectively implement data science? - How to design a data science roadmap. - And much, much more. Who is this book for This book is for every manager or professional, and all those who want to learn how to embed the effective use of data science in every facet of the organization. This comprehensive management handbook is a must-read for (business) consultants, business managers, Chief Data Officers (CDOs), CIOs, and other executives, project managers, Data Science consultants, Data Scientists, AI consultants, (business) controllers, quality managers, and BI consultants.

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.

Download or read book Enhancing IT Technology Management Through Data Driven Decision Making written by Adedoyin Oyewole and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Integrating AI Driven Technologies Into Service Marketing written by Nadda, Vipin and published by IGI Global. This book was released on 2024-08-29 with total page 874 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an era marked by rapid technological advancements and the increasing integration of artificial intelligence (AI) into various sectors, the intersection of AI technologies with service marketing stands as a pivotal frontier. It is essential to explore the intricate nexus between AI technologies and service marketing strategies. Integrating AI-Driven Technologies Into Service Marketing elucidates the transformative impact of AI on key facets of service marketing, ranging from customer engagement and relationship management to market segmentation and product customization. It underscores the imperative for stakeholders in emerging economies to harness the power of AI technologies in crafting innovative and adaptive service marketing strategies. The book navigates the complexities of AI adoption while offering pragmatic recommendations for fostering responsible and inclusive AI-driven service marketing ecosystems. Covering topics such as customer engagement, influencer marketing, and sentiment analysis, this book is an excellent resource for scholars, researchers, educators, business professionals, managers, academicians, postgraduate students, and more.

Download or read book Contemporary Trends in Innovative Marketing Strategies written by Barbosa, Belem and published by IGI Global. This book was released on 2024-02-19 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: In global commerce, marked by the relentless advance of digital technology, businesses find themselves constantly challenged to devise innovative and disruptive marketing strategies. Adapting to these changes is no longer a choice but a necessity. To thrive, companies must remain vigilant, updating their resources and adopting emerging trends with unwavering agility. Contemporary Trends in Innovative Marketing Strategies explores the demands and dynamics of modern marketing. This book is tailored to meet the needs of students, educators, and managers seeking a profound understanding of today's marketing trends. Firstly, the book delves deep into the current trends steering marketing innovation. It dissects the latest developments that are reshaping the marketing landscape, identifies pivotal trends, and elucidates their ramifications for businesses. Secondly, the book embarks on a journey to explore innovative marketing strategies engineered to confront contemporary business challenges and seize emerging opportunities. It unlocks novel approaches that adeptly cater to the market, providing insights into strategic frameworks, methodologies, and practices. Lastly, the book illustrates these concepts with real-world case studies, offering proof of innovative marketing's successful applications across diverse business sectors. These cases serve to inspire and demonstrate how innovative marketing strategies can be put into action, resulting in tangible outcomes. This book is designed for a diverse audience, including academics and students keen on exploring the latest trends in innovative marketing, educators searching for compelling case studies to enhance their teaching materials, and practitioners eager to bridge the gap between research and practical application in innovative marketing.